This job posting is anticipated to remain open for 30 days, from 18-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview Edward Jones is seeking a Senior AI Security Technical Architect to continue to build upon a defined enterprise AI security strategy, ensuring artificial intelligence and generative AI capabilities are designed, deployed, and operated in a secure, compliant, and responsible manner. This role is responsible for aligning business objectives, technology strategy, and security architecture to enable AI innovation with clear guardrails. The Senior AI Security Technical Architect will establish standards, patterns, and governance across multiple AI usage models, including third party SaaS AI solutions, internally developed AI/ML platforms, and emerging agentic and autonomous AI systems. By grounding AI security practices in industry frameworks such as NIST AI Risk Management Framework (AI RMF) and MITRE ATLAS, this role ensures AI risks are proactively identified, communicated, and mitigated while supporting the firm's broader digital transformation, cloud adoption, and regulatory obligations. What You'll Do Own and evolve the enterprise AI security architecture and strategy, aligning business goals, technology platforms, and risk management practices. Assist in defining secure by design patterns and standards for AI/ML systems Establish and maintain AI specific security artifacts Ensure consistent adoption of NIST AI RMF, MITRE ATLAS, CIS, ISO 27001 across AI initiatives. Establish architectural governance and enforce adherence to AI security standards across product teams and platforms. Influence AI design decisions early in the lifecycle to reduce downstream risk and rework. Partner with enterprise stakeholders to balance speed of innovation with risk tolerance and regulatory expectations. Evaluate AI frameworks, agents, vector databases, and third party AI platforms for security posture and enterprise readiness. Recommend and rationalize AI security tooling as part of the broader enterprise security strategy. Monitor emerging AI threats, regulatory guidance, and industry best practices to inform security strategy and standards. What Experience You'll Need Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 12+ years of experience in cybersecurity engineering or architecture within a complex enterprise environment. 4+ years of hands on experience securing or reviewing AI/ML systems and platforms. Strong understanding of: LLM architectures, embeddings, and Retrieval Augmented Generation (RAG) patterns End to end ML pipelines (training validation deployment inference) AI model supply chain risks (model registries, containers, dependencies, open source components) Zero Trust and identity centric security models Cloud security across Azure, AWS, and GCP Proven ability to influence architecture decisions and lead cross functional initiatives at the enterprise level. Excellent communication skills, with the ability to engage senior technical and business leaders. What Could Set You Apart Security certifications such as CISSP, CISM, CCSP, or SANS certifications. Experience contributing to responsible AI practices, explainability, or bias mitigation initiatives. Experience securing AI platforms in regulated industries, particularly financial services. Demonstrated experience in incident response and enterprise risk management. Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA Regulations Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf .
09/24/2026
Full time
This job posting is anticipated to remain open for 30 days, from 18-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview Edward Jones is seeking a Senior AI Security Technical Architect to continue to build upon a defined enterprise AI security strategy, ensuring artificial intelligence and generative AI capabilities are designed, deployed, and operated in a secure, compliant, and responsible manner. This role is responsible for aligning business objectives, technology strategy, and security architecture to enable AI innovation with clear guardrails. The Senior AI Security Technical Architect will establish standards, patterns, and governance across multiple AI usage models, including third party SaaS AI solutions, internally developed AI/ML platforms, and emerging agentic and autonomous AI systems. By grounding AI security practices in industry frameworks such as NIST AI Risk Management Framework (AI RMF) and MITRE ATLAS, this role ensures AI risks are proactively identified, communicated, and mitigated while supporting the firm's broader digital transformation, cloud adoption, and regulatory obligations. What You'll Do Own and evolve the enterprise AI security architecture and strategy, aligning business goals, technology platforms, and risk management practices. Assist in defining secure by design patterns and standards for AI/ML systems Establish and maintain AI specific security artifacts Ensure consistent adoption of NIST AI RMF, MITRE ATLAS, CIS, ISO 27001 across AI initiatives. Establish architectural governance and enforce adherence to AI security standards across product teams and platforms. Influence AI design decisions early in the lifecycle to reduce downstream risk and rework. Partner with enterprise stakeholders to balance speed of innovation with risk tolerance and regulatory expectations. Evaluate AI frameworks, agents, vector databases, and third party AI platforms for security posture and enterprise readiness. Recommend and rationalize AI security tooling as part of the broader enterprise security strategy. Monitor emerging AI threats, regulatory guidance, and industry best practices to inform security strategy and standards. What Experience You'll Need Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 12+ years of experience in cybersecurity engineering or architecture within a complex enterprise environment. 4+ years of hands on experience securing or reviewing AI/ML systems and platforms. Strong understanding of: LLM architectures, embeddings, and Retrieval Augmented Generation (RAG) patterns End to end ML pipelines (training validation deployment inference) AI model supply chain risks (model registries, containers, dependencies, open source components) Zero Trust and identity centric security models Cloud security across Azure, AWS, and GCP Proven ability to influence architecture decisions and lead cross functional initiatives at the enterprise level. Excellent communication skills, with the ability to engage senior technical and business leaders. What Could Set You Apart Security certifications such as CISSP, CISM, CCSP, or SANS certifications. Experience contributing to responsible AI practices, explainability, or bias mitigation initiatives. Experience securing AI platforms in regulated industries, particularly financial services. Demonstrated experience in incident response and enterprise risk management. Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA Regulations Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf .
Who we are looking for We are seeking a strategic technology leader to serve as Vice President, Asset Servicing Application Development and Maintenance. This leader will be responsible for managing a critical settlement application. This role requires interaction and support for an external settlement depository and related vendors. The successful candidate will manage development, oversee technology execution, engineering, delivery and modernization. They will drive innovation by leveraging AI capabilities, automation, and modern engineering practices, while ensuring operational resilience, regulatory compliance, and exceptional client outcomes. This application manager will partner closely with business, product, operations, risk, and enterprise technology leaders to accelerate growth, modernization, improve scalability and productivity, and enhance the overall client experience. Why this role is important to us The team you will be joining is part of Global Technology Services (GTS), which delivers enterprise technology capabilities that support State Street's global businesses. Within GTS, this role is aligned to the Custody value stream. The position plays a pivotal role in shaping technology strategy and execution, ensuring solutions are built for reliability, scalability, and strong controls while meeting stringent regulatory, operational, and client expectations. What you will be responsible for We are looking for a candidate who is highly motivated, energetic, and technologically savvy. Execute the technology strategy and roadmap for Core Custody aligned to business priorities, client needs, and enterprise objectives. Ensure delivery excellence through highly resilient, scalable, secure, and efficient technology solutions. Accountable for platform stability, operational resiliency, service quality, regulatory adherence, and achievement of business and client outcomes. Partner closely with Product, Risk, and Client-facing teams to enhance capabilities, enable new products, support client growth, and improve competitive differentiation. Drive adoption of modern architectures, engineering practices, data platforms, and automation capabilities across the application. Foster a culture of innovation, accountability, continuous learning, and technology excellence. What we value These skills will help you succeed in this role: Strong domain expertise in securities settlement. Expertise building and operating highly resilient technology platforms. Strong knowledge of modern application architectures, artificial intelligence, public cloud technologies, DevOps practices, automation, and software engineering excellence. Deep understanding of technology risk, cybersecurity, controls, and governance frameworks. Exceptional stakeholder management and communication skills with the ability to influence across the organization. Education & Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 10+ years of technology leadership experience, including significant experience within financial services. Proven track record delivering application solutions for our business partners. Experience operating effectively and managing across multiple geographies. Additional Requirements Experience with institutional securities settlement Experience with MQ, Oracle, PL/SQL, Shell scripting, J2EE, Java web development. Exceptional stakeholder management, communication, and influencing skills. Willingness to engage across multiple regions and time zones. Work Requirement Onsite with minimum 4 days in office 8:00 AM to 5 PM - Mandatory weekday presence between 8am-10am Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
Who we are looking for We are seeking a strategic technology leader to serve as Vice President, Asset Servicing Application Development and Maintenance. This leader will be responsible for managing a critical settlement application. This role requires interaction and support for an external settlement depository and related vendors. The successful candidate will manage development, oversee technology execution, engineering, delivery and modernization. They will drive innovation by leveraging AI capabilities, automation, and modern engineering practices, while ensuring operational resilience, regulatory compliance, and exceptional client outcomes. This application manager will partner closely with business, product, operations, risk, and enterprise technology leaders to accelerate growth, modernization, improve scalability and productivity, and enhance the overall client experience. Why this role is important to us The team you will be joining is part of Global Technology Services (GTS), which delivers enterprise technology capabilities that support State Street's global businesses. Within GTS, this role is aligned to the Custody value stream. The position plays a pivotal role in shaping technology strategy and execution, ensuring solutions are built for reliability, scalability, and strong controls while meeting stringent regulatory, operational, and client expectations. What you will be responsible for We are looking for a candidate who is highly motivated, energetic, and technologically savvy. Execute the technology strategy and roadmap for Core Custody aligned to business priorities, client needs, and enterprise objectives. Ensure delivery excellence through highly resilient, scalable, secure, and efficient technology solutions. Accountable for platform stability, operational resiliency, service quality, regulatory adherence, and achievement of business and client outcomes. Partner closely with Product, Risk, and Client-facing teams to enhance capabilities, enable new products, support client growth, and improve competitive differentiation. Drive adoption of modern architectures, engineering practices, data platforms, and automation capabilities across the application. Foster a culture of innovation, accountability, continuous learning, and technology excellence. What we value These skills will help you succeed in this role: Strong domain expertise in securities settlement. Expertise building and operating highly resilient technology platforms. Strong knowledge of modern application architectures, artificial intelligence, public cloud technologies, DevOps practices, automation, and software engineering excellence. Deep understanding of technology risk, cybersecurity, controls, and governance frameworks. Exceptional stakeholder management and communication skills with the ability to influence across the organization. Education & Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. 10+ years of technology leadership experience, including significant experience within financial services. Proven track record delivering application solutions for our business partners. Experience operating effectively and managing across multiple geographies. Additional Requirements Experience with institutional securities settlement Experience with MQ, Oracle, PL/SQL, Shell scripting, J2EE, Java web development. Exceptional stakeholder management, communication, and influencing skills. Willingness to engage across multiple regions and time zones. Work Requirement Onsite with minimum 4 days in office 8:00 AM to 5 PM - Mandatory weekday presence between 8am-10am Salary Range: $120,000 - $202,500 Annual The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Compute & GPU Provisioning: Experience with BIOS/UEFI, BMC/SMM, Redfish, PLDM, TPM, virtual media, firmware installation and upgrades, and hardware lifecycle management. CPU/GPU & Hardware Systems: Knowledge of CPU/GPU architectures, PCIe, DMA, NICs, NVMe, device enumeration, hardware bring-up, burn-in validation, and firmware debugging. Bare-Metal & OS Provisioning: Experience with PXE/iPXE, DHCP/DNS, Linux networking, OS imaging, and secure fleet-scale provisioning and automation. Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455. Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery. Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship. Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery. Responsibilities Responsibilities Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale. Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them. Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns. Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design. Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts. Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems. Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness. Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence. Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management. Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure. Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems. Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go. Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices. Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response. Demonstrated experience leading or influencing technical architecture and mentoring engineers. Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms. Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing. Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment. Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/24/2026
Full time
Compute & GPU Provisioning: Experience with BIOS/UEFI, BMC/SMM, Redfish, PLDM, TPM, virtual media, firmware installation and upgrades, and hardware lifecycle management. CPU/GPU & Hardware Systems: Knowledge of CPU/GPU architectures, PCIe, DMA, NICs, NVMe, device enumeration, hardware bring-up, burn-in validation, and firmware debugging. Bare-Metal & OS Provisioning: Experience with PXE/iPXE, DHCP/DNS, Linux networking, OS imaging, and secure fleet-scale provisioning and automation. Leads development and begins architecting scalable, container-based services that build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Develops secure infrastructure, control-plane workflows, and data-plane test capabilities that orchestrate manufacturing test lifecycles, operator workflows, quality gates, fleet status, and business reporting for platforms including GB200, GB300, VR, MI355, and MI455. Automates and maintains GPU test validation; manages consistent firmware, software, and hardware configuration; and develops repair and triage capabilities that identify root causes and guide recovery. Partners with Supply Chain Operations, Hardware Development, external manufacturing partners, data-center operations, NVIDIA, and AMD to resolve issues before racks ship. Establishes manufacturing yield, throughput, quality, and deployment-readiness metrics that reduce rework and downstream failures, improve data-center ingestion, and accelerate reliable hyperscale AI infrastructure delivery. Responsibilities Responsibilities Lead the design, implementation, and ongoing evolution of core distributed systems and data-plane services at hyperscale. Define scalability, elasticity, durability, and availability requirements for owned components and ensure designs meet them. Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state, replication, and synchronization patterns. Design fault-tolerant systems that support in-service updates through redundancy, automatic failover, and recovery-oriented design. Apply sound distributed-systems tradeoffs for network partitions and reliability, including load shedding, throttling, rate limiting, retries, and timeouts. Establish service-level objectives, key performance indicators, telemetry, dashboards, and proactive alerting for critical systems. Design and lead performance, load, fault-injection, and brownout testing to validate correctness, resilience, and operational readiness. Lead production incident diagnosis and recovery, guide root-cause analysis, and mentor engineers in operational excellence. Build and improve Infrastructure as Code and operational automation that enable safe patching, updates, rollbacks, and change management. Apply robust security controls and remediation practices for multi-tenant cloud infrastructure, including encryption, access controls, and compliance readiness. Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience. 7+ years of professional software-engineering experience, with demonstrated impact on large-scale distributed systems or cloud infrastructure. Strong experience designing and operating highly available, scalable, fault-tolerant distributed systems. Proficiency in one or more object-oriented or systems programming languages, such as Java, C++, C#, or Go. Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices. Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response. Demonstrated experience leading or influencing technical architecture and mentoring engineers. Strong problem-solving, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms. Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing. Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment. Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Location This role is located in Princeton (preferred) or any other locations within the North American hub structure of our global IT organization. Munich Re is a global market leader in reinsurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions. To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global center of excellence for Informatica Data Integration, supporting stable operations today while shaping the data platforms of the future. Led by the Global Specialty Insurance (GSI) unit, the team drives the delivery of our strategic data platforms by setting architectural standards, provide expert consulting and support project delivery across ERGO, MEAG, Reinsurance and GSI. This role will help the organization to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for Cloud Data Governance based on Informatica to support data solution architecture design for acquisition, organization, integration, transformation and secure storage of mission-critical data. While operating the Informatica Platform within GSI, we ensure consistent, enterprise-wide services and standards for data integration to achieve a unified, reliable, and scalable data foundation for the entire Munich Re group. As a IT Solution Architect, you are responsible for designing, implementing, and managing data governance frameworks using Informatica's Cloud Data Governance & Catalog (CDGC) within the Intelligent Data Management Cloud (IDMC). You will be accountable for driving a high-quality platform design and development which supports system performance at optimal operational cost under the circumstances of flexibility and future change. In this role, you will work with product owners, product architects and development leads to ensure that the platform vision and roadmap is implemented with a, state-of-the-art and easily accessible technology stack. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. You are accountable for achieving successful project outcomes, including the management of diverging interests of various stakeholders. As a Solution Architect, you work closely with the CoE architecture team to drive the journey towards multi-cloud-based data integration capability. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. Your job Responsibilities: This position also requires sound technical skills, the ability to collaborate across teams both on- and offshore, and think both from an operational and delivery IT mindset. Work closely in partnership with data management, governance leads, data solution architects, and data engineers to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data standards/guidelines for Informatica usage. Partner with large system integrators and software vendors to support the delivery of the programs that align to our data strategy. Work with multiple delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and engineers across the team can support the delivery of our data capabilities. Partner with technical teams across both the GSI Data Team as well other peer organizations to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Deliver proof-of-concepts, pilot solutions and applications through hands-on guidance, development and expertise Collaborate with Enterprise Architects, solution architects, and technical teams to deliver compliant, cost-effective projects aligned with business needs. Develop and execute strategic roadmaps and cost models for Data Governance aligned with organizational goals. Stay abreast of industry trends and emerging technologies, partner with IT Architecture teams to recommend and implement tools & solutions that enhance Data Governance capabilities. Uphold compliance, security, and regular audit updates. Build strong cross-functional partnerships at multiple levels with Munich Re stakeholders. Your profile University degree preferably in Computer engineering / IT or similar qualification Over 7+ years as Solution Architect for global software products, experience in the following areas: data architecture, data governance or master data management Track record of successful implementations that delivered value to the business Proactive self-starter, skilled at cross-functional collaboration and influencing stakeholders for guidance and achieve results Demonstrated strong understanding of technology with the ability to understand and articulate customer problems, solutions, and possible impacts. Ability to work in a complicated global group environment. Experienced managing expectations when balancing alternatives against business and financial constraints and able to estimate the financial impact of architecture alternatives. Extensive experience with compliance, security, and regular audit requirements Informatica Data Governance product knowledge preferred, with experience in Data Integration capabilities in Informatica Data Management Cloud are beneficial Ideally, knowledge of business processes in the re-/insurance industry Consulting and strong collaborative working style creating a culture of accountability and sharing Excellent communication and relationship-building skills with senior leaders and stakeholders Experienced and motivated to work in a globally distributed team Demonstrated a willingness to travel domestically and internationally as required in execution of duties The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $141,800 - $207,900 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
09/24/2026
Full time
Location This role is located in Princeton (preferred) or any other locations within the North American hub structure of our global IT organization. Munich Re is a global market leader in reinsurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions. To further strengthen our digital capabilities, Munich Re continues to invest strategically in IT and data platforms. The position Solution Architect is a high-impact position within our global center of excellence for Informatica Data Integration, supporting stable operations today while shaping the data platforms of the future. Led by the Global Specialty Insurance (GSI) unit, the team drives the delivery of our strategic data platforms by setting architectural standards, provide expert consulting and support project delivery across ERGO, MEAG, Reinsurance and GSI. This role will help the organization to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for Cloud Data Governance based on Informatica to support data solution architecture design for acquisition, organization, integration, transformation and secure storage of mission-critical data. While operating the Informatica Platform within GSI, we ensure consistent, enterprise-wide services and standards for data integration to achieve a unified, reliable, and scalable data foundation for the entire Munich Re group. As a IT Solution Architect, you are responsible for designing, implementing, and managing data governance frameworks using Informatica's Cloud Data Governance & Catalog (CDGC) within the Intelligent Data Management Cloud (IDMC). You will be accountable for driving a high-quality platform design and development which supports system performance at optimal operational cost under the circumstances of flexibility and future change. In this role, you will work with product owners, product architects and development leads to ensure that the platform vision and roadmap is implemented with a, state-of-the-art and easily accessible technology stack. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. You are accountable for achieving successful project outcomes, including the management of diverging interests of various stakeholders. As a Solution Architect, you work closely with the CoE architecture team to drive the journey towards multi-cloud-based data integration capability. Moreover, you will evaluate and adopt new technologies and tooling which can deliver a competitive advantage of our digital platforms. Your job Responsibilities: This position also requires sound technical skills, the ability to collaborate across teams both on- and offshore, and think both from an operational and delivery IT mindset. Work closely in partnership with data management, governance leads, data solution architects, and data engineers to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data standards/guidelines for Informatica usage. Partner with large system integrators and software vendors to support the delivery of the programs that align to our data strategy. Work with multiple delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and engineers across the team can support the delivery of our data capabilities. Partner with technical teams across both the GSI Data Team as well other peer organizations to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Deliver proof-of-concepts, pilot solutions and applications through hands-on guidance, development and expertise Collaborate with Enterprise Architects, solution architects, and technical teams to deliver compliant, cost-effective projects aligned with business needs. Develop and execute strategic roadmaps and cost models for Data Governance aligned with organizational goals. Stay abreast of industry trends and emerging technologies, partner with IT Architecture teams to recommend and implement tools & solutions that enhance Data Governance capabilities. Uphold compliance, security, and regular audit updates. Build strong cross-functional partnerships at multiple levels with Munich Re stakeholders. Your profile University degree preferably in Computer engineering / IT or similar qualification Over 7+ years as Solution Architect for global software products, experience in the following areas: data architecture, data governance or master data management Track record of successful implementations that delivered value to the business Proactive self-starter, skilled at cross-functional collaboration and influencing stakeholders for guidance and achieve results Demonstrated strong understanding of technology with the ability to understand and articulate customer problems, solutions, and possible impacts. Ability to work in a complicated global group environment. Experienced managing expectations when balancing alternatives against business and financial constraints and able to estimate the financial impact of architecture alternatives. Extensive experience with compliance, security, and regular audit requirements Informatica Data Governance product knowledge preferred, with experience in Data Integration capabilities in Informatica Data Management Cloud are beneficial Ideally, knowledge of business processes in the re-/insurance industry Consulting and strong collaborative working style creating a culture of accountability and sharing Excellent communication and relationship-building skills with senior leaders and stakeholders Experienced and motivated to work in a globally distributed team Demonstrated a willingness to travel domestically and internationally as required in execution of duties The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location. The base salary range anticipated for this position is $141,800 - $207,900 plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. At Munich Re, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
09/24/2026
Full time
About HASI HASI is an investor in sustainable infrastructure assets advancing the energy transition. With more than $17 billion in managed assets, our investments are diversified across multiple asset classes, including utility-scale solar, storage, and onshore wind; distributed solar and storage; RNG; and energy efficiency. We combine deep expertise in energy markets and financial structuring with long-standing programmatic client partnerships to deliver superior risk-adjusted returns and measurable environmental benefits. HA Sustainable Infrastructure Capital, Inc. is listed on the New York Stock Exchange (Ticker: HASI). For more information, please visit Position Summary HASI is modernizing the technology foundation that powers data, analytics, AI, and business applications across the enterprise. We are seeking a Platform Engineering Lead to own and evolve that foundation and build the engineering discipline responsible for making it scalable, secure, automated, reliable, and cost effective. This is a hands-on technical leadership role. You will own the architecture and roadmap for HASI's enterprise data platform, establish modern platform engineering and CI/CD practices, automate infrastructure and deployments, improve observability and operational reliability, and create reusable platform capabilities that allow data and product teams to move faster. The role sits at the intersection of cloud infrastructure, data engineering, DevOps, security, and enterprise architecture. You will work across a technology ecosystem that includes Snowflake, Airflow, SQL Server, Power BI Service, SAP, JupyterHub, BusinessObjects and the broader data warehouse, integration, and metadata ecosystem. Our operating model is intentionally clear: Platform Engineering owns the technology foundation. Data Engineering & Architecture owns the enterprise data and pipelines built on that foundation. BI & Data Products owns the business-facing analytical capabilities. Your job is to make the underlying platform exceptional. This is an opportunity to take an existing enterprise technology landscape and transform it into a modern platform engineering capability. You will establish the architecture, engineering standards, automation, operating practices, and team that will support HASI's next generation of data, analytics, and AI capabilities. Key Responsibilities Platform Architecture & Roadmap: Own the architecture and multi-year roadmap for HASI's enterprise data platform, balancing business requirements, engineering needs, security, scalability, reliability, and cost. Platform Engineering & Automation: Establish modern platform engineering practices across the environment, including CI/CD, infrastructure and configuration automation, deployment pipelines, testing, environment management, source control, and engineering standards. Platform Reliability & Operations: Engineer platforms for production reliability. Establish observability, monitoring, incident response, change management, operational runbooks, capacity management, and other practices required to operate critical enterprise platforms at a high standard. Security: Own the technical security of the data platform in partnership with Cybersecurity, including identity and access controls, data protection, secure configuration, auditability, and compliance with internal and regulatory requirements. Performance & Cost Optimization: Continuously evaluate platform utilization, performance, scalability, reliability, and cost. Identify inefficiencies and architectural improvements and ensure HASI is getting appropriate value from its platform investments. Integration Enablement: Design and enable reusable integration patterns and platform capabilities that allow Data Engineering, BI & Data Products, AI Product Engineering, and enterprise applications to connect to data and services efficiently and consistently. Platform Standards & Lifecycle Management: Establish technical standards and best practices across the platform ecosystem and own upgrades, patching, migrations, version management, technical debt reduction, and end-of-life planning. Metadata & Catalog Platforms: Own the technical platforms and capabilities that enable metadata management, data cataloging, lineage, and data discoverability across the enterprise, in partnership with Data Engineering & Architecture and Data Governance. Engineering Leadership: Provide technical direction to platform engineers, establish a high engineering bar, mentor team members, and help build the Platform Engineering function as the organization grows. Cross-Functional Partnership: Work closely with Data Engineering & Architecture, BI & Data Products, AI Product Engineering, Cybersecurity, enterprise applications, and business teams to understand requirements and translate them into durable platform capabilities. Technology Strategy: Stay current with developments across cloud, data infrastructure, platform engineering, and developer tooling. Evaluate emerging technologies and lead build-vs-buy and vendor decisions based on capability, architecture, cost, security, operational complexity, and risk. Platform Outcomes: Define and report on measures of platform health and maturity, including availability, performance, security, adoption, reliability, deployment efficiency, operational maturity, and cost optimization. Required Qualifications 7+ years of experience in platform engineering, data engineering, cloud infrastructure, DevOps, or a closely related technical discipline, with demonstrated ability to deliver and operate complex production technology environments Demonstrated experience owning enterprise platform architecture and translating architectural direction into a pragmatic multi-year technology roadmap Deep hands-on experience with modern data platforms and cloud data architecture, ideally including Snowflake, Airflow, and modern cloud data warehouse or lakehouse technologies Strong coding fundamentals, with proficiency in Python or an equivalent language and the ability to build platform tooling, automation, integrations, and services rather than relying exclusively on manual administration Strong experience with CI/CD, infrastructure automation, deployment automation, source control, environment management, and modern software engineering practices Experience designing and operating reliable production platforms, including monitoring, observability, incident management, performance optimization, capacity planning, and operational automation Strong understanding of cloud and data platform security, including identity and access management, secrets management, data protection, auditability, and secure platform configuration Experience designing integrations and reusable platform capabilities that enable other engineering and product teams to build and deliver effectively Ability to operate across strategy and execution. You can zoom out to define platform architecture and long-term direction and zoom in to troubleshoot a failed deployment, investigate a performance issue, or improve an automation pipeline Proven ability to evaluate technology and vendor decisions across capability, architecture, cost, security, operational complexity, and long-term strategic fit Proven track record of operating cross-functionally, building trust with technical and non-technical stakeholders, and translating requirements into scalable technical solutions Exceptional drive and ownership mentality. You set a high bar, hold yourself accountable for outcomes, and take responsibility for the reliability and quality of the platforms you own Clear, direct communicator who can explain architecture, tradeoffs, platform performance, and investment decisions to both technical and non-technical audiences Strategic thinker with an operator's bias, comfortable establishing long-term direction while remaining close enough to the technology to understand how it actually works Entrepreneurial and improvement-oriented mindset. You are energized by building capabilities, eliminating repetitive work through automation, improving engineering maturity, and making complex technology simpler for the teams that depend on it Preferred Qualifications Experience building or materially modernizing an enterprise data platform or Platform Engineering capability Experience with Snowflake administration and architecture, Apache Airflow, SQL Server, and cloud infrastructure Familiarity with enterprise analytics platforms such as Power BI Service, SAP Datasphere, SAP Analytics Cloud, Sigma, or similar technologies Experience with infrastructure-as-code and configuration management technologies Experience with data catalog, metadata management, lineage, observability, or related platform technologies Experience supporting platforms used by data engineering, analytics, machine learning, or AI engineering teams Experience working in financial services, investment management, or another regulated or data-intensive industry Experience providing technical leadership to a small engineering team while remaining hands-on $170,000 - $215,000 a year $170,000-$215,000 based on experience and location. In addition, HASI offers an annual bonus program; 401(k) with company match; an equity incentive program; comprehensive medical, dental and vision benefits; paid time off for vacation, holidays . click apply for full job details
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM We're seeking a systems security engineer to will drive security engineering principles into design and integration with other systems internal and external to Anduril to ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors. The ideal candidate has a background in systems of systems, systems, electrical and/or software engineering with deep expertise in embedded systems security. They will perform in-depth security architecture assessments, identify and mitigate vulnerabilities and exploits, and work cross-functionally to bake security into Anduril products. ABOUT THE JOB WHAT YOU'LL DO This is not an ISSO or ISSM role. Own security end-to-end for assigned products-derive and decompose security requirements from customer needs and threat intelligence, design security architectures, and manage security through the full product lifecycle Implement security features and capabilities, develop and execute comprehensive security test strategies at multiple integration levels, and support major milestone deliveries (SRR, PDR, CDR, TRR, PRR) Brief security architectures and approaches to government customers and program leadership, translating complex security concepts for diverse audiences Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals Collaborate with security assessment teams to assess Anduril's products and integrated components to uncover potential weaknesses Collaborate cross-functionally with engineering teams to translate architectural requirements into implementations, and coordinate with security teams on threat modeling, validation, and testing REQUIRED QUALIFICATIONS Experience in one or more of the following fields: Systems Security Engineering, Cybersecurity, Systems Engineering, Electrical Engineering, Software Engineering, Computer Engineering, Computer Science Familiarity with security-relevant features on embedded hardware / FPGAs (e.g., secure boot, key management, etc.) Previous work on security engineering and architecture for defense / national security systems and/or complex embedded commercial systems Ability to effectively brief and interact regularly with highly technical government customers Strong understanding of the "why" behind the product, systems, and security design A sincere commitment to a positive, inclusive, and collaborative culture Excellent verbal & written communication skills Currently possesses and is able to maintain at least a final active US Secret security clearance with SAP eligibility Must be able to obtain a Top Secret security clearance. PREFERRED QUALIFICATIONS Excels at the above listed Requirements Possesses and able to maintain a U.S. TS Security clearance with SCI and/or SAP eligibility Strong skills in one or more programming languages (e.g., Python, Rust, Go, C/C++). Experience assessing security of firmware, applications, network, IoT, or embedded systems Fluency in modern USG cyber methodologies, including Cyber Survivability guidance and related policy (JSIG, ICD 503, CSEIG, SSECG, NIST SP 800-160, Cyber T&E Guidebook, CMMC, etc.) Experience developing cyber documentation for USG customers Proven track record of excelling across the broader Systems Security Engineering domain, encompassing embedded Systems Engineering, Cybersecurity, Cyber Resiliency, Software Security Experience creating and integrating with system design documentation in MBSE tools Experience integrating with Software Assurance, Supply Chain Risk Management, Configuration Management, and System Test Experience executing the Anti-Tamper process and authoring associated documentation Experience with security testing on DoD systems (e.g. penetration testing, red teaming, vulnerability assessments) Experience working with unmanned aircraft Group 3 class and above Experience working with government or national security space systems US Salary Range $164,000-$194,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
09/24/2026
Full time
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM We're seeking a systems security engineer to will drive security engineering principles into design and integration with other systems internal and external to Anduril to ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors. The ideal candidate has a background in systems of systems, systems, electrical and/or software engineering with deep expertise in embedded systems security. They will perform in-depth security architecture assessments, identify and mitigate vulnerabilities and exploits, and work cross-functionally to bake security into Anduril products. ABOUT THE JOB WHAT YOU'LL DO This is not an ISSO or ISSM role. Own security end-to-end for assigned products-derive and decompose security requirements from customer needs and threat intelligence, design security architectures, and manage security through the full product lifecycle Implement security features and capabilities, develop and execute comprehensive security test strategies at multiple integration levels, and support major milestone deliveries (SRR, PDR, CDR, TRR, PRR) Brief security architectures and approaches to government customers and program leadership, translating complex security concepts for diverse audiences Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals Collaborate with security assessment teams to assess Anduril's products and integrated components to uncover potential weaknesses Collaborate cross-functionally with engineering teams to translate architectural requirements into implementations, and coordinate with security teams on threat modeling, validation, and testing REQUIRED QUALIFICATIONS Experience in one or more of the following fields: Systems Security Engineering, Cybersecurity, Systems Engineering, Electrical Engineering, Software Engineering, Computer Engineering, Computer Science Familiarity with security-relevant features on embedded hardware / FPGAs (e.g., secure boot, key management, etc.) Previous work on security engineering and architecture for defense / national security systems and/or complex embedded commercial systems Ability to effectively brief and interact regularly with highly technical government customers Strong understanding of the "why" behind the product, systems, and security design A sincere commitment to a positive, inclusive, and collaborative culture Excellent verbal & written communication skills Currently possesses and is able to maintain at least a final active US Secret security clearance with SAP eligibility Must be able to obtain a Top Secret security clearance. PREFERRED QUALIFICATIONS Excels at the above listed Requirements Possesses and able to maintain a U.S. TS Security clearance with SCI and/or SAP eligibility Strong skills in one or more programming languages (e.g., Python, Rust, Go, C/C++). Experience assessing security of firmware, applications, network, IoT, or embedded systems Fluency in modern USG cyber methodologies, including Cyber Survivability guidance and related policy (JSIG, ICD 503, CSEIG, SSECG, NIST SP 800-160, Cyber T&E Guidebook, CMMC, etc.) Experience developing cyber documentation for USG customers Proven track record of excelling across the broader Systems Security Engineering domain, encompassing embedded Systems Engineering, Cybersecurity, Cyber Resiliency, Software Security Experience creating and integrating with system design documentation in MBSE tools Experience integrating with Software Assurance, Supply Chain Risk Management, Configuration Management, and System Test Experience executing the Anti-Tamper process and authoring associated documentation Experience with security testing on DoD systems (e.g. penetration testing, red teaming, vulnerability assessments) Experience working with unmanned aircraft Group 3 class and above Experience working with government or national security space systems US Salary Range $164,000-$194,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0 1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. Partner with Product and Research so platform components and research work streams land in time to support deployment goals. Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. Shape how we engage Financial Services customers You'll thrive in this role if you: Bring 7+ years of customer facing technical delivery leadership and have expertise in the Financial Services industry. Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. Excel in high ambiguity environments. Know how to simplify complex and dynamic work. Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. You're a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
09/24/2026
Full time
About the team OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You'll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You'll track progress, manage dependencies, make sequencing decisions, and drive 0 1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. Partner with Product and Research so platform components and research work streams land in time to support deployment goals. Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. Shape how we engage Financial Services customers You'll thrive in this role if you: Bring 7+ years of customer facing technical delivery leadership and have expertise in the Financial Services industry. Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. Excel in high ambiguity environments. Know how to simplify complex and dynamic work. Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. You're a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Job Description Job Description Benefits: Competitive salary 6-Month Contract-to-Hire (CTH) Experience Level Senior Level (5 or more years of experience) Role Overview The Network Security Engineer serves as a technical Subject Matter Expert (SME) responsible for designing, deploying, administering, and optimizing enterprise network security infrastructure. This role focuses on architecting and managing Palo Alto Networks Next-Generation Firewalls (NGFWs), Cisco Firepower/ASA firewalls, Cisco ISE (Identity Services Engine), VPN infrastructure, and SD-WAN security to protect network perimeters and secure multi-site data flows across a regulated financial institution. Key Responsibilities Firewall Engineering & Perimeter Defense • Design, deploy, and manage Palo Alto Networks Next-Generation Firewalls (NGFWs) using Panorama, configuring NAT, App-ID, User-ID, Threat Prevention, URL Filtering, and WildFire. • Administer and maintain Cisco ASA and Firepower (FTD/FMC) firewalls, managing access control policies, IPS tuning, and platform lifecycle upgrades. • Lead investigations and incident responses for network-layer security alerts, policy violations, and anomalies. Network Access Control & Secure Connectivity • Administer Cisco Identity Services Engine (ISE) for Network Access Control (NAC), 802.1X authentication, RADIUS/TACACS+, device profiling, and guest access. • Manage and maintain VPN infrastructure (Cisco AnyConnect / Secure Access and site-to-site IPSec tunnels), supporting certificate-based authentication and split-tunnel configurations. • Configure and secure Cisco Catalyst SD-WAN environments, enforcing application-aware policies, traffic segmentation, and encrypted transport. • Administer Cisco Umbrella / Secure Access DNS-layer security, category-based controls, and web filtering policies. Architecture, Compliance, & Change Management • Collaborate with Cloud, Infrastructure, and Information Security teams to implement network segmentation, zero-trust controls, and security standards aligned with PCI-DSS, SOX, and NIST frameworks. • Author, review, and execute ITIL-aligned change management requests, presenting to Change Advisory Boards (CAB) and conducting post-implementation reviews. • Maintain comprehensive technical documentation, including firewall rulesets, network security architecture diagrams, runbooks, and standard operating procedures (SOPs). Required Qualifications • 5 or more years of hands-on experience in network security engineering, enterprise firewall administration, and perimeter security (CCNP Security-level expertise). • 3 or more years of hands-on experience designing, deploying, and managing Palo Alto Networks NGFWs and Panorama. • Solid hands-on experience administering Cisco ASA and Firepower (FTD/FMC) firewall environments, access control policies, and platform upgrades. • Strong working knowledge of Cisco ISE for NAC, 802.1X, RADIUS/TACACS+, and device profiling. • Experience configuring and troubleshooting enterprise VPN solutions (Cisco AnyConnect, Secure Access, IPSec site-to-site tunnels). • Solid understanding of core networking protocols, routing, and security concepts (TCP/IP, BGP, EIGRP, ACLs, NAT, SSL/TLS inspection, network micro-segmentation). • Experience working within an ITIL-based change management framework. • Must be legally authorized to work in the United States without current or future visa sponsorship. Preferred Qualifications • Industry certifications such as Palo Alto Networks Certified Network Security Engineer (PCNSE), Cisco Certified Network Professional Security (CCNP Security), or CCIE Security. • Familiarity with financial regulatory frameworks and compliance standards (e.g., FFIEC, PCI-DSS, SOX, NIST CSF). • Experience with Microsoft Azure networking and cloud security (Azure Firewall, NSGs, Virtual WAN, ExpressRoute). • Experience utilizing automation scripts (e.g., Python, Ansible) for firewall configuration and policy management. Core Skills & Attributes • Exceptional analytical, problem-solving, and root-cause diagnostic abilities for complex network security issues. • High accountability and attention to detail when executing production changes and maintaining documentation. • Excellent interpersonal and communication skills to collaborate with cross-functional IT teams, security leaders, and external auditors. • Self-driven approach to continuous learning and staying current with evolving cybersecurity threats. Flexible work from home options available.
09/24/2026
Full time
Job Description Job Description Benefits: Competitive salary 6-Month Contract-to-Hire (CTH) Experience Level Senior Level (5 or more years of experience) Role Overview The Network Security Engineer serves as a technical Subject Matter Expert (SME) responsible for designing, deploying, administering, and optimizing enterprise network security infrastructure. This role focuses on architecting and managing Palo Alto Networks Next-Generation Firewalls (NGFWs), Cisco Firepower/ASA firewalls, Cisco ISE (Identity Services Engine), VPN infrastructure, and SD-WAN security to protect network perimeters and secure multi-site data flows across a regulated financial institution. Key Responsibilities Firewall Engineering & Perimeter Defense • Design, deploy, and manage Palo Alto Networks Next-Generation Firewalls (NGFWs) using Panorama, configuring NAT, App-ID, User-ID, Threat Prevention, URL Filtering, and WildFire. • Administer and maintain Cisco ASA and Firepower (FTD/FMC) firewalls, managing access control policies, IPS tuning, and platform lifecycle upgrades. • Lead investigations and incident responses for network-layer security alerts, policy violations, and anomalies. Network Access Control & Secure Connectivity • Administer Cisco Identity Services Engine (ISE) for Network Access Control (NAC), 802.1X authentication, RADIUS/TACACS+, device profiling, and guest access. • Manage and maintain VPN infrastructure (Cisco AnyConnect / Secure Access and site-to-site IPSec tunnels), supporting certificate-based authentication and split-tunnel configurations. • Configure and secure Cisco Catalyst SD-WAN environments, enforcing application-aware policies, traffic segmentation, and encrypted transport. • Administer Cisco Umbrella / Secure Access DNS-layer security, category-based controls, and web filtering policies. Architecture, Compliance, & Change Management • Collaborate with Cloud, Infrastructure, and Information Security teams to implement network segmentation, zero-trust controls, and security standards aligned with PCI-DSS, SOX, and NIST frameworks. • Author, review, and execute ITIL-aligned change management requests, presenting to Change Advisory Boards (CAB) and conducting post-implementation reviews. • Maintain comprehensive technical documentation, including firewall rulesets, network security architecture diagrams, runbooks, and standard operating procedures (SOPs). Required Qualifications • 5 or more years of hands-on experience in network security engineering, enterprise firewall administration, and perimeter security (CCNP Security-level expertise). • 3 or more years of hands-on experience designing, deploying, and managing Palo Alto Networks NGFWs and Panorama. • Solid hands-on experience administering Cisco ASA and Firepower (FTD/FMC) firewall environments, access control policies, and platform upgrades. • Strong working knowledge of Cisco ISE for NAC, 802.1X, RADIUS/TACACS+, and device profiling. • Experience configuring and troubleshooting enterprise VPN solutions (Cisco AnyConnect, Secure Access, IPSec site-to-site tunnels). • Solid understanding of core networking protocols, routing, and security concepts (TCP/IP, BGP, EIGRP, ACLs, NAT, SSL/TLS inspection, network micro-segmentation). • Experience working within an ITIL-based change management framework. • Must be legally authorized to work in the United States without current or future visa sponsorship. Preferred Qualifications • Industry certifications such as Palo Alto Networks Certified Network Security Engineer (PCNSE), Cisco Certified Network Professional Security (CCNP Security), or CCIE Security. • Familiarity with financial regulatory frameworks and compliance standards (e.g., FFIEC, PCI-DSS, SOX, NIST CSF). • Experience with Microsoft Azure networking and cloud security (Azure Firewall, NSGs, Virtual WAN, ExpressRoute). • Experience utilizing automation scripts (e.g., Python, Ansible) for firewall configuration and policy management. Core Skills & Attributes • Exceptional analytical, problem-solving, and root-cause diagnostic abilities for complex network security issues. • High accountability and attention to detail when executing production changes and maintaining documentation. • Excellent interpersonal and communication skills to collaborate with cross-functional IT teams, security leaders, and external auditors. • Self-driven approach to continuous learning and staying current with evolving cybersecurity threats. Flexible work from home options available.
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
09/24/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html
Job Description Job Description Job Title: Network Security Engineer Department: Information Technology Location: Rochester, NY Classification: Exempt Reports To: Director of Information Technology Please note: Candidates must be authorized to work in the United States and able to work onsite in the Rochester, NY office. Sponsorship is not available for this position. Company Overview: Woods Oviatt Gilman, LLP is a leading and reputable full-service law firm dedicated to providing exceptional legal services to our clients. With a team of highly skilled and experienced attorneys, we strive to deliver comprehensive and effective solutions to meet the diverse needs of our clients. Our headquarters is in Rochester, NY with additional offices in Albany and Buffalo, NY. We foster a collaborative and inclusive work environment where every team member is valued and respected. We encourage open communication, teamwork, and professional growth. Our firm promotes a healthy work-life balance and supports the well-being of our employees. Position Summary: The Network Security Engineer is a hands-on technical role responsible for implementing, configuring, and maintaining the firm's security controls across a hybrid environment, including FortiGate firewalls, endpoint protection, cloud email and Microsoft 365, Intune-managed devices, and a co-managed monitoring and detection service. The Engineer works under the direction of the Director of Information Technology, who sets security policy and priorities for the department, and provides the technical assessment, recommendations, and documentation that support those decisions. Because the firm safeguards confidential and privileged client information, this position calls for strong technical skill, sound judgment, discretion, and clear communication with both the IT team and firm personnel. Duties and Responsibilities: Network and Perimeter Security Administer, tune, and monitor FortiGate firewalls, including security policies, VPN configuration, intrusion prevention, web and content filtering, and logging Implement and maintain network segmentation, secure remote access, and wireless security across firm locations, in line with the department's standards Maintain secure connectivity for remote and hybrid users, including VPN and conditional access Conduct scheduled reviews of firewall rules and network configurations, recommend changes to the Director of Information Technology, and maintain accurate network security documentation Endpoint, Identity, and Email Security Administer the firm's endpoint protection platforms, including CrowdStrike and Microsoft endpoint protection, covering policy configuration, detection review, containment actions, and agent coverage Configure and maintain device compliance, configuration, and application deployment through Microsoft Intune in a hybrid environment, including full-disk encryption and recovery key handling Configure and maintain identity and access controls across Microsoft Entra ID and on-premises Active Directory, including multifactor authentication, conditional access, and privileged account settings, and perform periodic access reviews Configure and maintain security settings for cloud email and collaboration, including mail flow and filtering rules, phishing and malware defenses, email authentication records, and Microsoft 365 security configuration Perform vulnerability and patch management across servers, endpoints, and network devices, including scanning, prioritizing findings, tracking remediation, and reporting status to the Director of Information Technology Monitoring, Detection, and Incident Response Serve as the day-to-day technical contact for the firm's managed monitoring service, triaging alerts, validating findings, and carrying issues through to resolution Investigate security events and perform containment, eradication, and recovery steps in accordance with the firm's incident response procedures, escalating promptly to the Director of Information Technology Contribute to the development, maintenance, and testing of the firm's incident response plan, including participation in tabletop exercises Verify that backup, recovery, and business continuity controls are functioning and tested, and support the department's disaster recovery planning Security Program Support, Privacy, and Compliance Provide technical evaluation and recommendations to support the department's selection and adoption of a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001 Implement and maintain the technical controls that support the framework, and assist in assessing and reporting the firm's posture against it Assist the Director of Information Technology in drafting and maintaining information security policies, standards, and procedures, and implement the technical measures that carry them out Maintain security documentation, control evidence, and a working risk log, and recommend remediation priorities to the Director of Information Technology Support compliance with applicable privacy and data protection obligations, including the New York SHIELD Act and other state privacy requirements, and requirements applicable to regulated client data such as protected health information Prepare technical responses and supporting documentation for client security requirements, including outside counsel guidelines, security questionnaires, and client and third-party audits, and complete remediation items assigned by the Director of Information Technology Support obligations arising from clients in regulated industries, including financial services requirements such as NYDFS Part 500 as applied to the firm through client agreements Perform technical security reviews of vendors, applications, and services under consideration, and provide findings and recommendations to the Director of Information Technology Assist with independent assessments, including penetration testing and external audits, and complete assigned remediation work Awareness and Collaboration Administer the firm's security awareness program, including training delivery, phishing simulations, and user communication developed with the Director of Information Technology Partner with the IT team on secure configuration, change management, and project work, and provide technical guidance to service desk staff on security escalations Report on control status, vulnerabilities, incidents, and open remediation items to the Director of Information Technology Maintain current knowledge of emerging threats, vulnerabilities, and security technologies relevant to the legal industry, and share findings with the department Technical Skills: Required Hands-on administration of FortiGate firewalls, including policy management, VPN, intrusion prevention, and content filtering Endpoint detection and response administration, ideally CrowdStrike Falcon, and familiarity with Microsoft endpoint protection Microsoft 365 security administration, including cloud email protection, mail flow and filtering, phishing defense, and email authentication using SPF, DKIM, and DMARC Identity and access administration across Microsoft Entra ID and on-premises Active Directory in a hybrid configuration, including multifactor authentication and conditional access Microsoft Intune administration, including device compliance and configuration, application deployment, and device encryption in a hybrid environment Solid networking fundamentals, including TCP/IP, routing and switching, VLANs, DNS, DHCP, segmentation, and wireless security Vulnerability management and patch management practice, including scanning, prioritization, and remediation tracking Security monitoring and log analysis, and experience working with a managed detection and response or co-managed SOC provider Working familiarity with a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001, and experience implementing controls in support of one Familiarity with privacy and data protection requirements, including state breach notification obligations and handling of regulated data Ability to produce clear technical documentation, control evidence, risk write-ups, and status reporting for both technical and non-technical readers Preferred Prior experience in a law firm or other professional services environment, including familiarity with outside counsel guidelines and client security audits Experience preparing responses to client security questionnaires and third-party risk assessments Azure or other cloud security administration PowerShell or comparable scripting for automation and reporting Experience with data loss prevention, email encryption, or information rights management Experience with security awareness platforms and phishing simulation tools Familiarity with SD-WAN, zero trust, or secure access service edge architectures Relevant certifications such as Fortinet NSE, CompTIA Security+, GIAC credentials, Microsoft SC-200 or SC-300, CISSP, or CISM Qualifications and Competencies: Strong analytical and problem-solving skills, with sound technical judgment in assessing and prioritizing risk . click apply for full job details
09/24/2026
Full time
Job Description Job Description Job Title: Network Security Engineer Department: Information Technology Location: Rochester, NY Classification: Exempt Reports To: Director of Information Technology Please note: Candidates must be authorized to work in the United States and able to work onsite in the Rochester, NY office. Sponsorship is not available for this position. Company Overview: Woods Oviatt Gilman, LLP is a leading and reputable full-service law firm dedicated to providing exceptional legal services to our clients. With a team of highly skilled and experienced attorneys, we strive to deliver comprehensive and effective solutions to meet the diverse needs of our clients. Our headquarters is in Rochester, NY with additional offices in Albany and Buffalo, NY. We foster a collaborative and inclusive work environment where every team member is valued and respected. We encourage open communication, teamwork, and professional growth. Our firm promotes a healthy work-life balance and supports the well-being of our employees. Position Summary: The Network Security Engineer is a hands-on technical role responsible for implementing, configuring, and maintaining the firm's security controls across a hybrid environment, including FortiGate firewalls, endpoint protection, cloud email and Microsoft 365, Intune-managed devices, and a co-managed monitoring and detection service. The Engineer works under the direction of the Director of Information Technology, who sets security policy and priorities for the department, and provides the technical assessment, recommendations, and documentation that support those decisions. Because the firm safeguards confidential and privileged client information, this position calls for strong technical skill, sound judgment, discretion, and clear communication with both the IT team and firm personnel. Duties and Responsibilities: Network and Perimeter Security Administer, tune, and monitor FortiGate firewalls, including security policies, VPN configuration, intrusion prevention, web and content filtering, and logging Implement and maintain network segmentation, secure remote access, and wireless security across firm locations, in line with the department's standards Maintain secure connectivity for remote and hybrid users, including VPN and conditional access Conduct scheduled reviews of firewall rules and network configurations, recommend changes to the Director of Information Technology, and maintain accurate network security documentation Endpoint, Identity, and Email Security Administer the firm's endpoint protection platforms, including CrowdStrike and Microsoft endpoint protection, covering policy configuration, detection review, containment actions, and agent coverage Configure and maintain device compliance, configuration, and application deployment through Microsoft Intune in a hybrid environment, including full-disk encryption and recovery key handling Configure and maintain identity and access controls across Microsoft Entra ID and on-premises Active Directory, including multifactor authentication, conditional access, and privileged account settings, and perform periodic access reviews Configure and maintain security settings for cloud email and collaboration, including mail flow and filtering rules, phishing and malware defenses, email authentication records, and Microsoft 365 security configuration Perform vulnerability and patch management across servers, endpoints, and network devices, including scanning, prioritizing findings, tracking remediation, and reporting status to the Director of Information Technology Monitoring, Detection, and Incident Response Serve as the day-to-day technical contact for the firm's managed monitoring service, triaging alerts, validating findings, and carrying issues through to resolution Investigate security events and perform containment, eradication, and recovery steps in accordance with the firm's incident response procedures, escalating promptly to the Director of Information Technology Contribute to the development, maintenance, and testing of the firm's incident response plan, including participation in tabletop exercises Verify that backup, recovery, and business continuity controls are functioning and tested, and support the department's disaster recovery planning Security Program Support, Privacy, and Compliance Provide technical evaluation and recommendations to support the department's selection and adoption of a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001 Implement and maintain the technical controls that support the framework, and assist in assessing and reporting the firm's posture against it Assist the Director of Information Technology in drafting and maintaining information security policies, standards, and procedures, and implement the technical measures that carry them out Maintain security documentation, control evidence, and a working risk log, and recommend remediation priorities to the Director of Information Technology Support compliance with applicable privacy and data protection obligations, including the New York SHIELD Act and other state privacy requirements, and requirements applicable to regulated client data such as protected health information Prepare technical responses and supporting documentation for client security requirements, including outside counsel guidelines, security questionnaires, and client and third-party audits, and complete remediation items assigned by the Director of Information Technology Support obligations arising from clients in regulated industries, including financial services requirements such as NYDFS Part 500 as applied to the firm through client agreements Perform technical security reviews of vendors, applications, and services under consideration, and provide findings and recommendations to the Director of Information Technology Assist with independent assessments, including penetration testing and external audits, and complete assigned remediation work Awareness and Collaboration Administer the firm's security awareness program, including training delivery, phishing simulations, and user communication developed with the Director of Information Technology Partner with the IT team on secure configuration, change management, and project work, and provide technical guidance to service desk staff on security escalations Report on control status, vulnerabilities, incidents, and open remediation items to the Director of Information Technology Maintain current knowledge of emerging threats, vulnerabilities, and security technologies relevant to the legal industry, and share findings with the department Technical Skills: Required Hands-on administration of FortiGate firewalls, including policy management, VPN, intrusion prevention, and content filtering Endpoint detection and response administration, ideally CrowdStrike Falcon, and familiarity with Microsoft endpoint protection Microsoft 365 security administration, including cloud email protection, mail flow and filtering, phishing defense, and email authentication using SPF, DKIM, and DMARC Identity and access administration across Microsoft Entra ID and on-premises Active Directory in a hybrid configuration, including multifactor authentication and conditional access Microsoft Intune administration, including device compliance and configuration, application deployment, and device encryption in a hybrid environment Solid networking fundamentals, including TCP/IP, routing and switching, VLANs, DNS, DHCP, segmentation, and wireless security Vulnerability management and patch management practice, including scanning, prioritization, and remediation tracking Security monitoring and log analysis, and experience working with a managed detection and response or co-managed SOC provider Working familiarity with a recognized security framework such as the NIST Cybersecurity Framework, CIS Controls, or ISO 27001, and experience implementing controls in support of one Familiarity with privacy and data protection requirements, including state breach notification obligations and handling of regulated data Ability to produce clear technical documentation, control evidence, risk write-ups, and status reporting for both technical and non-technical readers Preferred Prior experience in a law firm or other professional services environment, including familiarity with outside counsel guidelines and client security audits Experience preparing responses to client security questionnaires and third-party risk assessments Azure or other cloud security administration PowerShell or comparable scripting for automation and reporting Experience with data loss prevention, email encryption, or information rights management Experience with security awareness platforms and phishing simulation tools Familiarity with SD-WAN, zero trust, or secure access service edge architectures Relevant certifications such as Fortinet NSE, CompTIA Security+, GIAC credentials, Microsoft SC-200 or SC-300, CISSP, or CISM Qualifications and Competencies: Strong analytical and problem-solving skills, with sound technical judgment in assessing and prioritizing risk . click apply for full job details
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job DescriptionJob Description Trust Automation is a government contractor and has over 35 years of experience in custom motors, linear drives, digital drives, and systems which meet the unique needs of its customers. Its product line includes motors, linear drives, digital drives, custom assemblies, and products to fit unique applications and ground-up system design and manufacturing solutions. We design, build and support control and power management systems for the most demanding defense, semiconductor, industrial automation, and medical applications. Trust Automation is an equal opportunity employer and committed to attracting, hiring, developing, and retaining a skilled, productive, and diverse workforce, personnel with competencies and experience related to the regional and State population. Every employee has an "at-will" relationship with Trust Automation. This means that employment with Trust Automation is at the mutual consent of the employer and the employee and is subject to termination by either party at will, with or without cause or advance notice. Job Summary The Dynamics 365 Finance and Operations Functional Lead will serve as Trust Automation's in-house ERP expert and strategic advisor. This position will lead the optimization and expansion of the D365 F&O platform, working directly with business users to configure solutions, streamline processes, and implement integrations that enhance financial, operational, and manufacturing capabilities. This position will partner with business stakeholders across finance, manufacturing, supply chain, and operations to continuously improve D365 F&O implementation, identify process inefficiencies, implement solutions, and drive system adoption across the organization. As the Functional Lead, this position will be the voice of D365 F&O, acting as a bridge between business needs and technical solutions. The role will guide Trust Automation through system enhancements, integrations such as PLM, MES, Field Service, and CRM, while ensuring the ERP platform supports our precision manufacturing operations and systems engineering approach. Duties and Responsibilities To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified, to perform the essential functions. Functional Leadership & Business Partnership Serve as the primary functional expert and point of contact for D365 F&O across the organization. Partner with business stakeholders to identify opportunities where D365 F&O can improve efficiency and reduce overhead. Provide functional guidance and best practice recommendations to end users and management. Lead cross-functional initiatives to enhance system adoption and optimize business processes. Collaborate with technical resources to ensure solutions align with business requirements. System Configuration, Administration & Oversight Configure and optimize Microsoft Dynamics 365 Finance & Operations modules including: Financials: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank Management, Financial Dimensions. Supply Chain Management: Inventory Management, Procurement and Sourcing, Sales and Marketing. Production Control: Discrete and process manufacturing, production orders, job costing, shop floor execution. Master Planning: Planning Optimization engine, MRP, demand forecasting. Project Management and Accounting: Project tracking, resource scheduling, project costing. Work with technical resources to ensure any enhancements or customizations meet user requirements without jeopardizing application performance. Verify and sign-off on all enhancements, parameter changes, and customizations prior to releasing them to end users for final testing. Review customizations and extensions to validate they meet functional requirements and business process needs. Perform system administration tasks including security role design, user management, and environment maintenance. System Configuration, Administration & Oversight Configure and optimize Microsoft Dynamics 365 Finance & Operations modules including: Financials: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank Management, Financial Dimensions. Supply Chain Management: Inventory Management, Procurement and Sourcing, Sales and Marketing. Production Control: Discrete and process manufacturing, production orders, job costing, shop floor execution. Master Planning: Planning Optimization engine, MRP, demand forecasting. Project Management and Accounting: Project tracking, resource scheduling, project costing. Work with technical resources to ensure any enhancements or customizations meet user requirements without jeopardizing application performance. Verify and sign-off on all enhancements, parameter changes, and customizations prior to releasing them to end users for final testing. Review customizations and extensions to validate they meet functional requirements and business process needs. Perform system administration tasks including security role design, user management, and environment maintenance. Position Requirements Education and Certifications Bachelor's degree or equivalent work experience in Computer Science, Accounting, Management Information Systems, Business Administration, or related field. Microsoft Dynamics 365 certifications in Finance and Operations, Supply Chain Management, or related modules (highly preferred). Technical Experience 8+ years of experience in the implementation, functional support, and auditing of D365 F&O systems as a consultant and end user Proven experience in full-cycle ERP implementations, upgrades, and migrations Preferred experience in Finance, Supply Chain, and/or Project Management modules Strong knowledge of manufacturing processes including production control, MRP planning, BOMs, routing, and shop floor control Experience with financial modules: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project Accounting, Cash & Bank Management Proficiency with Lifecycle Services (LCS), Azure DevOps, and RSAT (Regression Suite Automation Tool) Experience with integrations using REST APIs, OData, dual-write, and Azure services An understanding of the Agile development framework and knowledge of leveraging Azure DevOps within the SDLC process An understanding of the SCRUM methodology for tracking issues and enhancements Knowledge of Power Platform (Power BI, Power Automate, and Power Apps) and F&O integration Knowledge of best practices in D365 F&O development and system configuration Experience with X development, extensions, and customizations Understanding of workflow design and approval hierarchies in D365 F&O Deep understanding of ERP architecture and data flow across modules Ability to troubleshoot complex system issues and identify root causes Analytical mindset with strong problem-solving capabilities Excellent verbal and written communication skills for both technical and non-technical audiences Ability to facilitate meetings with executives, managers, and end-users Strong stakeholder management and relationship-building skills This position may be asked to drive for company purposes during the course of employment. If asked and agreed upon, employees must possess a valid California Driver's License and clean driving record. May participate in the identity verification process to access secure client or government portals by authorizing certified supplier or customer management platforms to obtain information from your personal credit profile or other information, solely to verify your identity. Physical Requirements Hearing and speaking to exchange information in person, on the telephone or virtually. Dexterity of hands, fingers, and wrist to operate a computer keyboard, calculator or assemble/manufacture intricate items. Seeing to read a variety of materials. Sitting or standing for extended period of time Physical agility to lift 20 pounds to shoulder height. Physical agility to lift, carry, push, or pull objects. Pay/Salary Information Pay scale for this position : $150,000-$180,000 By submitting your application, you acknowledge that you have read and understand the information provided within. You certify that the information contained in this application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire, or for discharge should you be hired.
09/23/2026
Full time
Job DescriptionJob Description Trust Automation is a government contractor and has over 35 years of experience in custom motors, linear drives, digital drives, and systems which meet the unique needs of its customers. Its product line includes motors, linear drives, digital drives, custom assemblies, and products to fit unique applications and ground-up system design and manufacturing solutions. We design, build and support control and power management systems for the most demanding defense, semiconductor, industrial automation, and medical applications. Trust Automation is an equal opportunity employer and committed to attracting, hiring, developing, and retaining a skilled, productive, and diverse workforce, personnel with competencies and experience related to the regional and State population. Every employee has an "at-will" relationship with Trust Automation. This means that employment with Trust Automation is at the mutual consent of the employer and the employee and is subject to termination by either party at will, with or without cause or advance notice. Job Summary The Dynamics 365 Finance and Operations Functional Lead will serve as Trust Automation's in-house ERP expert and strategic advisor. This position will lead the optimization and expansion of the D365 F&O platform, working directly with business users to configure solutions, streamline processes, and implement integrations that enhance financial, operational, and manufacturing capabilities. This position will partner with business stakeholders across finance, manufacturing, supply chain, and operations to continuously improve D365 F&O implementation, identify process inefficiencies, implement solutions, and drive system adoption across the organization. As the Functional Lead, this position will be the voice of D365 F&O, acting as a bridge between business needs and technical solutions. The role will guide Trust Automation through system enhancements, integrations such as PLM, MES, Field Service, and CRM, while ensuring the ERP platform supports our precision manufacturing operations and systems engineering approach. Duties and Responsibilities To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified, to perform the essential functions. Functional Leadership & Business Partnership Serve as the primary functional expert and point of contact for D365 F&O across the organization. Partner with business stakeholders to identify opportunities where D365 F&O can improve efficiency and reduce overhead. Provide functional guidance and best practice recommendations to end users and management. Lead cross-functional initiatives to enhance system adoption and optimize business processes. Collaborate with technical resources to ensure solutions align with business requirements. System Configuration, Administration & Oversight Configure and optimize Microsoft Dynamics 365 Finance & Operations modules including: Financials: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank Management, Financial Dimensions. Supply Chain Management: Inventory Management, Procurement and Sourcing, Sales and Marketing. Production Control: Discrete and process manufacturing, production orders, job costing, shop floor execution. Master Planning: Planning Optimization engine, MRP, demand forecasting. Project Management and Accounting: Project tracking, resource scheduling, project costing. Work with technical resources to ensure any enhancements or customizations meet user requirements without jeopardizing application performance. Verify and sign-off on all enhancements, parameter changes, and customizations prior to releasing them to end users for final testing. Review customizations and extensions to validate they meet functional requirements and business process needs. Perform system administration tasks including security role design, user management, and environment maintenance. System Configuration, Administration & Oversight Configure and optimize Microsoft Dynamics 365 Finance & Operations modules including: Financials: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash & Bank Management, Financial Dimensions. Supply Chain Management: Inventory Management, Procurement and Sourcing, Sales and Marketing. Production Control: Discrete and process manufacturing, production orders, job costing, shop floor execution. Master Planning: Planning Optimization engine, MRP, demand forecasting. Project Management and Accounting: Project tracking, resource scheduling, project costing. Work with technical resources to ensure any enhancements or customizations meet user requirements without jeopardizing application performance. Verify and sign-off on all enhancements, parameter changes, and customizations prior to releasing them to end users for final testing. Review customizations and extensions to validate they meet functional requirements and business process needs. Perform system administration tasks including security role design, user management, and environment maintenance. Position Requirements Education and Certifications Bachelor's degree or equivalent work experience in Computer Science, Accounting, Management Information Systems, Business Administration, or related field. Microsoft Dynamics 365 certifications in Finance and Operations, Supply Chain Management, or related modules (highly preferred). Technical Experience 8+ years of experience in the implementation, functional support, and auditing of D365 F&O systems as a consultant and end user Proven experience in full-cycle ERP implementations, upgrades, and migrations Preferred experience in Finance, Supply Chain, and/or Project Management modules Strong knowledge of manufacturing processes including production control, MRP planning, BOMs, routing, and shop floor control Experience with financial modules: General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project Accounting, Cash & Bank Management Proficiency with Lifecycle Services (LCS), Azure DevOps, and RSAT (Regression Suite Automation Tool) Experience with integrations using REST APIs, OData, dual-write, and Azure services An understanding of the Agile development framework and knowledge of leveraging Azure DevOps within the SDLC process An understanding of the SCRUM methodology for tracking issues and enhancements Knowledge of Power Platform (Power BI, Power Automate, and Power Apps) and F&O integration Knowledge of best practices in D365 F&O development and system configuration Experience with X development, extensions, and customizations Understanding of workflow design and approval hierarchies in D365 F&O Deep understanding of ERP architecture and data flow across modules Ability to troubleshoot complex system issues and identify root causes Analytical mindset with strong problem-solving capabilities Excellent verbal and written communication skills for both technical and non-technical audiences Ability to facilitate meetings with executives, managers, and end-users Strong stakeholder management and relationship-building skills This position may be asked to drive for company purposes during the course of employment. If asked and agreed upon, employees must possess a valid California Driver's License and clean driving record. May participate in the identity verification process to access secure client or government portals by authorizing certified supplier or customer management platforms to obtain information from your personal credit profile or other information, solely to verify your identity. Physical Requirements Hearing and speaking to exchange information in person, on the telephone or virtually. Dexterity of hands, fingers, and wrist to operate a computer keyboard, calculator or assemble/manufacture intricate items. Seeing to read a variety of materials. Sitting or standing for extended period of time Physical agility to lift 20 pounds to shoulder height. Physical agility to lift, carry, push, or pull objects. Pay/Salary Information Pay scale for this position : $150,000-$180,000 By submitting your application, you acknowledge that you have read and understand the information provided within. You certify that the information contained in this application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire, or for discharge should you be hired.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description About us New Co is a new AI-native product organization within Capgemini Financial Services. We build products, not projects: software for insurance claims, payment operations, and health operations, sold to banks, insurers, and health plans. Three product lines run on one shared platform, built by a deliberately small, senior team. Our engineering model is agentic: engineers author the specifications, tooling, evaluation suites, and guardrails, and AI agents do most of the implementation. Humans own every consequential decision, and in our regulated domains some decisions are human-only by design. The role Three product lines, one platform. You will own the platform that Claims, Payments, and Health run on: the agentic AI floor (model gateway, agent runtime, evaluation infrastructure, guardrails) and the shared product services around it (case management and work queues, integration connectors, multi-tenancy, metering). You run the platform as a product whose customers are our product teams, and you are its first and most senior engineer-leader. Every hour of claims handling or payment processing our products automate rests on infrastructure your group builds. What you will own The strategic vision, roadmap, and end-to-end lifecycle of the platform: from the model gateway and agent runtime to shared workflow, tenancy, and metering services A competitive engineering strategy at the frontier: you track research and model releases as they land, decide what the platform adopts versus builds, and keep our capability curve ahead of what clients could assemble themselves The closed improvement loops: production signals and evaluation verdicts feed reinforcement learning and fine-tuning pipelines that produce our own LLMs and SLMs; product loops run automated end to end, with humans holding the gates Build-vs-buy decisions across open-source and commercial AI infrastructure, and the boundary between what the platform provides and what product lines build themselves A disciplined operating model: a published capacity split between product-team requests, platform quality, and strategic initiatives; services graduate to self-service only when they are ready Platform adoption outcomes: your group is measured by the delivery metrics of its consumers, not its own output Compliance posture of the platform in regulated environments: model risk documentation, audit trails, and responsible-AI practices that bank and insurer risk teams can examine; no AI capability ships ungoverned or unevaluated, including the models we train ourselves Hiring and growing the platform group, and the engineering standards it sets for the whole organization What you will need A track record leading platform or infrastructure teams that ran production systems for multiple product teams, with accountability for adoption, not just delivery Hands-on credibility in modern AI infrastructure: LLM inference and serving, model gateways, vector search, guardrails, and evaluation systems Frontier research fluency: you read post-training, reinforcement learning, and agentic-systems work as it lands and can turn it into engineering strategy; an engineer who reads research, not a researcher at engineering distance Cloud platform depth (AWS, Azure, or GCP) with Kubernetes and infrastructure-as-code at production scale Experience delivering in a regulated industry, ideally financial services, or demonstrable fluency in what model-risk and security review requires of a platform A platform-as-product mindset: you can talk about golden paths, voluntary adoption, and developer research as naturally as architecture Daily, hands-on use of AI coding assistants in your own work What sets you apart You have owned both an AI platform floor and shared business services (workflow, tenancy, billing/metering) in one charter You have taken a model through post-training (RLHF, RLAIF, fine-tuning, or distillation to smaller models) into production Published or open-source work in agent infrastructure or evaluation tooling Cost management (FinOps) experience for LLM workloads Financial services domain depth: you have shipped production systems for banks, insurers, or payment providers The reference stack The reference technology stack for this role is our supported paved road: self-hosted Lang Smith and Lang Graph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pg vector plus Click House and S3-compatible object storage as the data platform, Neo4j Enterprise as the semantic knowledge graph, an agent memory plane serving episodic and precedent memory over MCP, MCP-native connectors, Open Telemetry and Grafana for observability, all on CNCF-conformant Kubernetes with Helm and Argo CD, deployable to any hyper scaler or on-prem. A tool-for-tool match is not expected: analogous experience counts fully. If you have built and operated systems of this shape on comparable components (a different orchestration framework, graph engine, evaluation platform, or serving stack), you have what we are looking for. How we work Engineers write specs, harnesses, evals, and guardrails; AI agents execute the implementation loops. Review, not typing, is where engineering judgment goes. Three human gates govern everything we ship: spec approval, merge, and release. Regulated code paths (money movement, authentication, cryptography, secrets) are always human-owned. Small and senior by design. No separate QA function, no scrum masters; quality comes from evaluation gates and whole-team review rituals. Domain experts (claims practitioners, payment scheme experts, clinicians) are full-time members of the product teams you will serve. Success in year one The first product line ships to its first enterprise client on platform services it chose to use, with platform cost attributed per line Platform adoption is voluntary and measured; product teams' deployment frequency and change-failure rates improve after adoption Bank or insurer model-risk teams accept the platform's evidence pack on first review A written engineering strategy exists, is re-argued each quarter against frontier developments, and the first New Co-tuned model (LLM or SLM) serves production traffic behind evaluation gates The base compensation range for this role in the posted location is 141546 - 203155 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment . click apply for full job details
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description About us New Co is a new AI-native product organization within Capgemini Financial Services. We build products, not projects: software for insurance claims, payment operations, and health operations, sold to banks, insurers, and health plans. Three product lines run on one shared platform, built by a deliberately small, senior team. Our engineering model is agentic: engineers author the specifications, tooling, evaluation suites, and guardrails, and AI agents do most of the implementation. Humans own every consequential decision, and in our regulated domains some decisions are human-only by design. The role Three product lines, one platform. You will own the platform that Claims, Payments, and Health run on: the agentic AI floor (model gateway, agent runtime, evaluation infrastructure, guardrails) and the shared product services around it (case management and work queues, integration connectors, multi-tenancy, metering). You run the platform as a product whose customers are our product teams, and you are its first and most senior engineer-leader. Every hour of claims handling or payment processing our products automate rests on infrastructure your group builds. What you will own The strategic vision, roadmap, and end-to-end lifecycle of the platform: from the model gateway and agent runtime to shared workflow, tenancy, and metering services A competitive engineering strategy at the frontier: you track research and model releases as they land, decide what the platform adopts versus builds, and keep our capability curve ahead of what clients could assemble themselves The closed improvement loops: production signals and evaluation verdicts feed reinforcement learning and fine-tuning pipelines that produce our own LLMs and SLMs; product loops run automated end to end, with humans holding the gates Build-vs-buy decisions across open-source and commercial AI infrastructure, and the boundary between what the platform provides and what product lines build themselves A disciplined operating model: a published capacity split between product-team requests, platform quality, and strategic initiatives; services graduate to self-service only when they are ready Platform adoption outcomes: your group is measured by the delivery metrics of its consumers, not its own output Compliance posture of the platform in regulated environments: model risk documentation, audit trails, and responsible-AI practices that bank and insurer risk teams can examine; no AI capability ships ungoverned or unevaluated, including the models we train ourselves Hiring and growing the platform group, and the engineering standards it sets for the whole organization What you will need A track record leading platform or infrastructure teams that ran production systems for multiple product teams, with accountability for adoption, not just delivery Hands-on credibility in modern AI infrastructure: LLM inference and serving, model gateways, vector search, guardrails, and evaluation systems Frontier research fluency: you read post-training, reinforcement learning, and agentic-systems work as it lands and can turn it into engineering strategy; an engineer who reads research, not a researcher at engineering distance Cloud platform depth (AWS, Azure, or GCP) with Kubernetes and infrastructure-as-code at production scale Experience delivering in a regulated industry, ideally financial services, or demonstrable fluency in what model-risk and security review requires of a platform A platform-as-product mindset: you can talk about golden paths, voluntary adoption, and developer research as naturally as architecture Daily, hands-on use of AI coding assistants in your own work What sets you apart You have owned both an AI platform floor and shared business services (workflow, tenancy, billing/metering) in one charter You have taken a model through post-training (RLHF, RLAIF, fine-tuning, or distillation to smaller models) into production Published or open-source work in agent infrastructure or evaluation tooling Cost management (FinOps) experience for LLM workloads Financial services domain depth: you have shipped production systems for banks, insurers, or payment providers The reference stack The reference technology stack for this role is our supported paved road: self-hosted Lang Smith and Lang Graph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pg vector plus Click House and S3-compatible object storage as the data platform, Neo4j Enterprise as the semantic knowledge graph, an agent memory plane serving episodic and precedent memory over MCP, MCP-native connectors, Open Telemetry and Grafana for observability, all on CNCF-conformant Kubernetes with Helm and Argo CD, deployable to any hyper scaler or on-prem. A tool-for-tool match is not expected: analogous experience counts fully. If you have built and operated systems of this shape on comparable components (a different orchestration framework, graph engine, evaluation platform, or serving stack), you have what we are looking for. How we work Engineers write specs, harnesses, evals, and guardrails; AI agents execute the implementation loops. Review, not typing, is where engineering judgment goes. Three human gates govern everything we ship: spec approval, merge, and release. Regulated code paths (money movement, authentication, cryptography, secrets) are always human-owned. Small and senior by design. No separate QA function, no scrum masters; quality comes from evaluation gates and whole-team review rituals. Domain experts (claims practitioners, payment scheme experts, clinicians) are full-time members of the product teams you will serve. Success in year one The first product line ships to its first enterprise client on platform services it chose to use, with platform cost attributed per line Platform adoption is voluntary and measured; product teams' deployment frequency and change-failure rates improve after adoption Bank or insurer model-risk teams accept the platform's evidence pack on first review A written engineering strategy exists, is re-argued each quarter against frontier developments, and the first New Co-tuned model (LLM or SLM) serves production traffic behind evaluation gates The base compensation range for this role in the posted location is 141546 - 203155 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment . click apply for full job details
Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. This role requires a minimum of 10 years of Life and Annuity information technology experience. KEY RESPONSIBILITIES National Life Group is in the midst of significant growth and enterprise transformation, requiring technology to evolve to the next gen of maturity to enable greater scale, better customer experiences, and foster top-line growth. The role of the Chief Technology Officer is to lead the modernization of the company's core insurance platforms and technology ecosystem so the organization can grow efficiently, innovate faster, and compete effectively in a rapidly changing life insurance and annuity market. The CTO will play a lead role in transforming and managing core technology platforms while driving innovation through technology and thought leadership. The CTO will be responsible for assessing the talent to ensure they are fit for purpose and provide the skills, capabilities, behaviors, and processes required to deliver a modern, agile, and integrated environment. The CTO will lead transformations across cloud computing, contemporary software architectures, continuous delivery and DevOps, Advanced Analytics, Machine Learning, and Artificial Intelligence. Additionally, the CTO will be a key partner in promoting new ways of working, including advanced concepts in Agile, Lean Product Development, Lean Operations, and Design Thinking. Collectively, the CTO is expected to lead these transformations to facilitate National Life's transformation as it competes in the AI era. Through disciplined execution, strong partnerships, and clear executive communication, this leader will ensure that technology investments are aligned with business priorities, deliver meaningful returns on investment, and support sustained growth. Ultimately, the CTO will help position National Life's technology capabilities as a strategic advantage. Success in this role will often require careful coordination of activities with the larger (approx. 850 people) IT organization. Candidates must demonstrate the ability to organize complex work streams and collaborate effectively with colleagues and business leaders to influence transformation in a highly outsourced, multi-vendor environment, including onshore and offshore teams. Top candidates will have demonstrated success and feel comfortable working in this heavily outsourced, globally distributed environment. This is a senior and critical role within the technology leadership team and will report directly to the Chief Information Officer and will have consideration for the CIO role in succession planning. Other specific responsibilities include: Responsible for all aspects of establishing quality technology platforms and services. Influence business outcomes collaboratively to define the "art of the possible" for the future state of National Life Develop and instill a core innovation and incubation strategy that fosters emerging technology solutions that capture economic value across the National Life organization. Develop a fit-for-purpose operating model, based on the right sourcing decisions, location, talent and capability strategy as well as a high-performing team. Responsible for ensuring the operating model is optimized in terms of cost and quality of service, and that internal resources and supplier partner relationships meet the agreed model and service framework. Create a culture of continuous improvement that proactively manages the resolution of complex problems, identifies their underlying causes and improves processes accordingly. The courage to challenge the status quo, fail forward, learn, and influence change through self-awareness, clear communication, humility, and vulnerability YEAR ONE CRITICAL SUCCESS FACTORS The key objectives of the role are to: Operate in a fast-paced environment while building trust with IT and the business Partner closely with the CIO and be able to run workloads independently Clearly understand and adopt the National Life culture and ways of working Establish credibility through relationships with business leaders and the IT organization as a whole Continue to bring process and rigor to the architecture and development organization Infuse AI into IT practices consistently to make it a fabric of IT development operations Build relationships with key stakeholders across the business; work diligently to understand business needs and tie those needs back into the IT organization, creating transparency as well as a customer-centric IT environment. Bring process and rigor to the IT organization, with particular emphasis on shoring up the architecture and software development lifecycle methodology. Assess the IT leadership team and develop or fortify as needed. Being able to present and story tell the IT Vision, Technical direction, and various transformation "pitches" to a wide variety of audiences spanning from Board, executive team, business leaders, business operations and IT teammates Bringing thought leadership by being asked to participate in various thought leadership areas, strategies, meetings, committees as more than just an IT representative The ability to give feedback and receive feedback. Demonstrably changing and learning through received feedback with vulnerability PROFESSIONAL EXPERIENCE/QUALIFICATIONS 20+ years of information technology experience and 10+ years of IT leadership and business transformation work in the life and annuities business is required. Deep understanding of the business landscape of a Life & Annuity organization, including but not limited to New Business, Underwriting, Claims, InForce management, Product development, Actuarial analysis, and Investment management. Recognized achievement in delivering a successful major technology transformation program, and in the delivery of a modern heavily cloud-based environment. Proven track record in identifying opportunities and delivering innovative and pragmatic digital solutions that challenge the status quo. Willingness to roll-up his/her sleeves and go both deep and wide into technology issues. Ability to effectively present technical or complex information to senior management with simplicity. Significant experience working with technology vendors through strategic partnership and managing a diverse workforce of internals and externals. Examples include eApplication, Policy Administration, eDelivery, Automated Underwriting, Digital Experiences, Hierarchy based compensation, Licensing and Contracting, Broker/Dealer automation, Fraud and Risk Management, CRM and Workflow Strong financial management experience and demonstrable track-record in driving continual improvements in the cost base. Experience developing and deploying IT change programs with detailed business case development and delivery at the board or business unit level. Track record of successfully working on complicated initiatives encased in ambiguity and uncertainty. Strong communication skills and persuasion and influencing skills. Broad experience in architecture and application software delivery. Adept at defining IT vision and strategy and identifying initiatives that lead to target state architectures and outcomes. Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation. Strong and concise communication ability with persuasion and influencing skills in a matrixed organization Ability to coach, mentor, and develop a trusted learning organization that creates teams of future leaders Broad experience in application software delivery, infrastructure, security, data, and vendor management Adept at defining the IT technical direction and identification of initiatives that lead to target state architectures and outcomes. Then bringing people along towards the target state through leadership and influence Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation Ability to create a culture of engagement, empowerment, execution, and trust amongst teams through self-awareness, influence, humility, and vulnerability EDUCATION Bachelor's degree in computer science, information systems, engineering, or a related engineering of science field is required. MBA or master's degree is required. Other certifications are preferred but not required AI PROFICIENCY EXPECTATIONS At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises . click apply for full job details
09/23/2026
Full time
Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. This role requires a minimum of 10 years of Life and Annuity information technology experience. KEY RESPONSIBILITIES National Life Group is in the midst of significant growth and enterprise transformation, requiring technology to evolve to the next gen of maturity to enable greater scale, better customer experiences, and foster top-line growth. The role of the Chief Technology Officer is to lead the modernization of the company's core insurance platforms and technology ecosystem so the organization can grow efficiently, innovate faster, and compete effectively in a rapidly changing life insurance and annuity market. The CTO will play a lead role in transforming and managing core technology platforms while driving innovation through technology and thought leadership. The CTO will be responsible for assessing the talent to ensure they are fit for purpose and provide the skills, capabilities, behaviors, and processes required to deliver a modern, agile, and integrated environment. The CTO will lead transformations across cloud computing, contemporary software architectures, continuous delivery and DevOps, Advanced Analytics, Machine Learning, and Artificial Intelligence. Additionally, the CTO will be a key partner in promoting new ways of working, including advanced concepts in Agile, Lean Product Development, Lean Operations, and Design Thinking. Collectively, the CTO is expected to lead these transformations to facilitate National Life's transformation as it competes in the AI era. Through disciplined execution, strong partnerships, and clear executive communication, this leader will ensure that technology investments are aligned with business priorities, deliver meaningful returns on investment, and support sustained growth. Ultimately, the CTO will help position National Life's technology capabilities as a strategic advantage. Success in this role will often require careful coordination of activities with the larger (approx. 850 people) IT organization. Candidates must demonstrate the ability to organize complex work streams and collaborate effectively with colleagues and business leaders to influence transformation in a highly outsourced, multi-vendor environment, including onshore and offshore teams. Top candidates will have demonstrated success and feel comfortable working in this heavily outsourced, globally distributed environment. This is a senior and critical role within the technology leadership team and will report directly to the Chief Information Officer and will have consideration for the CIO role in succession planning. Other specific responsibilities include: Responsible for all aspects of establishing quality technology platforms and services. Influence business outcomes collaboratively to define the "art of the possible" for the future state of National Life Develop and instill a core innovation and incubation strategy that fosters emerging technology solutions that capture economic value across the National Life organization. Develop a fit-for-purpose operating model, based on the right sourcing decisions, location, talent and capability strategy as well as a high-performing team. Responsible for ensuring the operating model is optimized in terms of cost and quality of service, and that internal resources and supplier partner relationships meet the agreed model and service framework. Create a culture of continuous improvement that proactively manages the resolution of complex problems, identifies their underlying causes and improves processes accordingly. The courage to challenge the status quo, fail forward, learn, and influence change through self-awareness, clear communication, humility, and vulnerability YEAR ONE CRITICAL SUCCESS FACTORS The key objectives of the role are to: Operate in a fast-paced environment while building trust with IT and the business Partner closely with the CIO and be able to run workloads independently Clearly understand and adopt the National Life culture and ways of working Establish credibility through relationships with business leaders and the IT organization as a whole Continue to bring process and rigor to the architecture and development organization Infuse AI into IT practices consistently to make it a fabric of IT development operations Build relationships with key stakeholders across the business; work diligently to understand business needs and tie those needs back into the IT organization, creating transparency as well as a customer-centric IT environment. Bring process and rigor to the IT organization, with particular emphasis on shoring up the architecture and software development lifecycle methodology. Assess the IT leadership team and develop or fortify as needed. Being able to present and story tell the IT Vision, Technical direction, and various transformation "pitches" to a wide variety of audiences spanning from Board, executive team, business leaders, business operations and IT teammates Bringing thought leadership by being asked to participate in various thought leadership areas, strategies, meetings, committees as more than just an IT representative The ability to give feedback and receive feedback. Demonstrably changing and learning through received feedback with vulnerability PROFESSIONAL EXPERIENCE/QUALIFICATIONS 20+ years of information technology experience and 10+ years of IT leadership and business transformation work in the life and annuities business is required. Deep understanding of the business landscape of a Life & Annuity organization, including but not limited to New Business, Underwriting, Claims, InForce management, Product development, Actuarial analysis, and Investment management. Recognized achievement in delivering a successful major technology transformation program, and in the delivery of a modern heavily cloud-based environment. Proven track record in identifying opportunities and delivering innovative and pragmatic digital solutions that challenge the status quo. Willingness to roll-up his/her sleeves and go both deep and wide into technology issues. Ability to effectively present technical or complex information to senior management with simplicity. Significant experience working with technology vendors through strategic partnership and managing a diverse workforce of internals and externals. Examples include eApplication, Policy Administration, eDelivery, Automated Underwriting, Digital Experiences, Hierarchy based compensation, Licensing and Contracting, Broker/Dealer automation, Fraud and Risk Management, CRM and Workflow Strong financial management experience and demonstrable track-record in driving continual improvements in the cost base. Experience developing and deploying IT change programs with detailed business case development and delivery at the board or business unit level. Track record of successfully working on complicated initiatives encased in ambiguity and uncertainty. Strong communication skills and persuasion and influencing skills. Broad experience in architecture and application software delivery. Adept at defining IT vision and strategy and identifying initiatives that lead to target state architectures and outcomes. Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation. Strong and concise communication ability with persuasion and influencing skills in a matrixed organization Ability to coach, mentor, and develop a trusted learning organization that creates teams of future leaders Broad experience in application software delivery, infrastructure, security, data, and vendor management Adept at defining the IT technical direction and identification of initiatives that lead to target state architectures and outcomes. Then bringing people along towards the target state through leadership and influence Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation Ability to create a culture of engagement, empowerment, execution, and trust amongst teams through self-awareness, influence, humility, and vulnerability EDUCATION Bachelor's degree in computer science, information systems, engineering, or a related engineering of science field is required. MBA or master's degree is required. Other certifications are preferred but not required AI PROFICIENCY EXPECTATIONS At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises . click apply for full job details
National Life Insurance Company
Montpelier, Vermont
Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. This role requires a minimum of 10 years of Life and Annuity information technology experience. KEY RESPONSIBILITIES National Life Group is in the midst of significant growth and enterprise transformation, requiring technology to evolve to the next gen of maturity to enable greater scale, better customer experiences, and foster top-line growth. The role of the Chief Technology Officer is to lead the modernization of the company's core insurance platforms and technology ecosystem so the organization can grow efficiently, innovate faster, and compete effectively in a rapidly changing life insurance and annuity market. The CTO will play a lead role in transforming and managing core technology platforms while driving innovation through technology and thought leadership. The CTO will be responsible for assessing the talent to ensure they are fit for purpose and provide the skills, capabilities, behaviors, and processes required to deliver a modern, agile, and integrated environment. The CTO will lead transformations across cloud computing, contemporary software architectures, continuous delivery and DevOps, Advanced Analytics, Machine Learning, and Artificial Intelligence. Additionally, the CTO will be a key partner in promoting new ways of working, including advanced concepts in Agile, Lean Product Development, Lean Operations, and Design Thinking. Collectively, the CTO is expected to lead these transformations to facilitate National Life's transformation as it competes in the AI era. Through disciplined execution, strong partnerships, and clear executive communication, this leader will ensure that technology investments are aligned with business priorities, deliver meaningful returns on investment, and support sustained growth. Ultimately, the CTO will help position National Life's technology capabilities as a strategic advantage. Success in this role will often require careful coordination of activities with the larger (approx. 850 people) IT organization. Candidates must demonstrate the ability to organize complex work streams and collaborate effectively with colleagues and business leaders to influence transformation in a highly outsourced, multi-vendor environment, including onshore and offshore teams. Top candidates will have demonstrated success and feel comfortable working in this heavily outsourced, globally distributed environment. This is a senior and critical role within the technology leadership team and will report directly to the Chief Information Officer and will have consideration for the CIO role in succession planning. Other specific responsibilities include: Responsible for all aspects of establishing quality technology platforms and services. Influence business outcomes collaboratively to define the "art of the possible" for the future state of National Life Develop and instill a core innovation and incubation strategy that fosters emerging technology solutions that capture economic value across the National Life organization. Develop a fit-for-purpose operating model, based on the right sourcing decisions, location, talent and capability strategy as well as a high-performing team. Responsible for ensuring the operating model is optimized in terms of cost and quality of service, and that internal resources and supplier partner relationships meet the agreed model and service framework. Create a culture of continuous improvement that proactively manages the resolution of complex problems, identifies their underlying causes and improves processes accordingly. The courage to challenge the status quo, fail forward, learn, and influence change through self-awareness, clear communication, humility, and vulnerability YEAR ONE CRITICAL SUCCESS FACTORS The key objectives of the role are to: Operate in a fast-paced environment while building trust with IT and the business Partner closely with the CIO and be able to run workloads independently Clearly understand and adopt the National Life culture and ways of working Establish credibility through relationships with business leaders and the IT organization as a whole Continue to bring process and rigor to the architecture and development organization Infuse AI into IT practices consistently to make it a fabric of IT development operations Build relationships with key stakeholders across the business; work diligently to understand business needs and tie those needs back into the IT organization, creating transparency as well as a customer-centric IT environment. Bring process and rigor to the IT organization, with particular emphasis on shoring up the architecture and software development lifecycle methodology. Assess the IT leadership team and develop or fortify as needed. Being able to present and story tell the IT Vision, Technical direction, and various transformation "pitches" to a wide variety of audiences spanning from Board, executive team, business leaders, business operations and IT teammates Bringing thought leadership by being asked to participate in various thought leadership areas, strategies, meetings, committees as more than just an IT representative The ability to give feedback and receive feedback. Demonstrably changing and learning through received feedback with vulnerability PROFESSIONAL EXPERIENCE/QUALIFICATIONS 20+ years of information technology experience and 10+ years of IT leadership and business transformation work in the life and annuities business is required. Deep understanding of the business landscape of a Life & Annuity organization, including but not limited to New Business, Underwriting, Claims, InForce management, Product development, Actuarial analysis, and Investment management. Recognized achievement in delivering a successful major technology transformation program, and in the delivery of a modern heavily cloud-based environment. Proven track record in identifying opportunities and delivering innovative and pragmatic digital solutions that challenge the status quo. Willingness to roll-up his/her sleeves and go both deep and wide into technology issues. Ability to effectively present technical or complex information to senior management with simplicity. Significant experience working with technology vendors through strategic partnership and managing a diverse workforce of internals and externals. Examples include eApplication, Policy Administration, eDelivery, Automated Underwriting, Digital Experiences, Hierarchy based compensation, Licensing and Contracting, Broker/Dealer automation, Fraud and Risk Management, CRM and Workflow Strong financial management experience and demonstrable track-record in driving continual improvements in the cost base. Experience developing and deploying IT change programs with detailed business case development and delivery at the board or business unit level. Track record of successfully working on complicated initiatives encased in ambiguity and uncertainty. Strong communication skills and persuasion and influencing skills. Broad experience in architecture and application software delivery. Adept at defining IT vision and strategy and identifying initiatives that lead to target state architectures and outcomes. Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation. Strong and concise communication ability with persuasion and influencing skills in a matrixed organization Ability to coach, mentor, and develop a trusted learning organization that creates teams of future leaders Broad experience in application software delivery, infrastructure, security, data, and vendor management Adept at defining the IT technical direction and identification of initiatives that lead to target state architectures and outcomes. Then bringing people along towards the target state through leadership and influence Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation Ability to create a culture of engagement, empowerment, execution, and trust amongst teams through self-awareness, influence, humility, and vulnerability EDUCATION Bachelor's degree in computer science, information systems, engineering, or a related engineering of science field is required. MBA or master's degree is required. Other certifications are preferred but not required AI PROFICIENCY EXPECTATIONS At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises . click apply for full job details
09/23/2026
Full time
Come join one of America's fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures. Our mission extends beyond the insurance and annuities policies that we offer. We strive to make the world a better place through our grants from our charitable foundation, paid volunteer time for our employees, environmentally sustainable and healthy workplaces, and events that promote the work of nonprofits in our own backyard. We foster a collaborative environment with opportunities for growth and encourage our associates to live our values: Do good. Be good. Make good. Please note that we do not offer visa sponsorship for this position. This role requires a minimum of 10 years of Life and Annuity information technology experience. KEY RESPONSIBILITIES National Life Group is in the midst of significant growth and enterprise transformation, requiring technology to evolve to the next gen of maturity to enable greater scale, better customer experiences, and foster top-line growth. The role of the Chief Technology Officer is to lead the modernization of the company's core insurance platforms and technology ecosystem so the organization can grow efficiently, innovate faster, and compete effectively in a rapidly changing life insurance and annuity market. The CTO will play a lead role in transforming and managing core technology platforms while driving innovation through technology and thought leadership. The CTO will be responsible for assessing the talent to ensure they are fit for purpose and provide the skills, capabilities, behaviors, and processes required to deliver a modern, agile, and integrated environment. The CTO will lead transformations across cloud computing, contemporary software architectures, continuous delivery and DevOps, Advanced Analytics, Machine Learning, and Artificial Intelligence. Additionally, the CTO will be a key partner in promoting new ways of working, including advanced concepts in Agile, Lean Product Development, Lean Operations, and Design Thinking. Collectively, the CTO is expected to lead these transformations to facilitate National Life's transformation as it competes in the AI era. Through disciplined execution, strong partnerships, and clear executive communication, this leader will ensure that technology investments are aligned with business priorities, deliver meaningful returns on investment, and support sustained growth. Ultimately, the CTO will help position National Life's technology capabilities as a strategic advantage. Success in this role will often require careful coordination of activities with the larger (approx. 850 people) IT organization. Candidates must demonstrate the ability to organize complex work streams and collaborate effectively with colleagues and business leaders to influence transformation in a highly outsourced, multi-vendor environment, including onshore and offshore teams. Top candidates will have demonstrated success and feel comfortable working in this heavily outsourced, globally distributed environment. This is a senior and critical role within the technology leadership team and will report directly to the Chief Information Officer and will have consideration for the CIO role in succession planning. Other specific responsibilities include: Responsible for all aspects of establishing quality technology platforms and services. Influence business outcomes collaboratively to define the "art of the possible" for the future state of National Life Develop and instill a core innovation and incubation strategy that fosters emerging technology solutions that capture economic value across the National Life organization. Develop a fit-for-purpose operating model, based on the right sourcing decisions, location, talent and capability strategy as well as a high-performing team. Responsible for ensuring the operating model is optimized in terms of cost and quality of service, and that internal resources and supplier partner relationships meet the agreed model and service framework. Create a culture of continuous improvement that proactively manages the resolution of complex problems, identifies their underlying causes and improves processes accordingly. The courage to challenge the status quo, fail forward, learn, and influence change through self-awareness, clear communication, humility, and vulnerability YEAR ONE CRITICAL SUCCESS FACTORS The key objectives of the role are to: Operate in a fast-paced environment while building trust with IT and the business Partner closely with the CIO and be able to run workloads independently Clearly understand and adopt the National Life culture and ways of working Establish credibility through relationships with business leaders and the IT organization as a whole Continue to bring process and rigor to the architecture and development organization Infuse AI into IT practices consistently to make it a fabric of IT development operations Build relationships with key stakeholders across the business; work diligently to understand business needs and tie those needs back into the IT organization, creating transparency as well as a customer-centric IT environment. Bring process and rigor to the IT organization, with particular emphasis on shoring up the architecture and software development lifecycle methodology. Assess the IT leadership team and develop or fortify as needed. Being able to present and story tell the IT Vision, Technical direction, and various transformation "pitches" to a wide variety of audiences spanning from Board, executive team, business leaders, business operations and IT teammates Bringing thought leadership by being asked to participate in various thought leadership areas, strategies, meetings, committees as more than just an IT representative The ability to give feedback and receive feedback. Demonstrably changing and learning through received feedback with vulnerability PROFESSIONAL EXPERIENCE/QUALIFICATIONS 20+ years of information technology experience and 10+ years of IT leadership and business transformation work in the life and annuities business is required. Deep understanding of the business landscape of a Life & Annuity organization, including but not limited to New Business, Underwriting, Claims, InForce management, Product development, Actuarial analysis, and Investment management. Recognized achievement in delivering a successful major technology transformation program, and in the delivery of a modern heavily cloud-based environment. Proven track record in identifying opportunities and delivering innovative and pragmatic digital solutions that challenge the status quo. Willingness to roll-up his/her sleeves and go both deep and wide into technology issues. Ability to effectively present technical or complex information to senior management with simplicity. Significant experience working with technology vendors through strategic partnership and managing a diverse workforce of internals and externals. Examples include eApplication, Policy Administration, eDelivery, Automated Underwriting, Digital Experiences, Hierarchy based compensation, Licensing and Contracting, Broker/Dealer automation, Fraud and Risk Management, CRM and Workflow Strong financial management experience and demonstrable track-record in driving continual improvements in the cost base. Experience developing and deploying IT change programs with detailed business case development and delivery at the board or business unit level. Track record of successfully working on complicated initiatives encased in ambiguity and uncertainty. Strong communication skills and persuasion and influencing skills. Broad experience in architecture and application software delivery. Adept at defining IT vision and strategy and identifying initiatives that lead to target state architectures and outcomes. Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation. Strong and concise communication ability with persuasion and influencing skills in a matrixed organization Ability to coach, mentor, and develop a trusted learning organization that creates teams of future leaders Broad experience in application software delivery, infrastructure, security, data, and vendor management Adept at defining the IT technical direction and identification of initiatives that lead to target state architectures and outcomes. Then bringing people along towards the target state through leadership and influence Adept at continuous learning, especially in emerging areas of technology, modern work practices, and digital transformation Ability to create a culture of engagement, empowerment, execution, and trust amongst teams through self-awareness, influence, humility, and vulnerability EDUCATION Bachelor's degree in computer science, information systems, engineering, or a related engineering of science field is required. MBA or master's degree is required. Other certifications are preferred but not required AI PROFICIENCY EXPECTATIONS At National Life Group, we view AI as an enabler of human potential. We use AI to help us work smarter, serve more clients, and keep our promises . click apply for full job details
Who We Are Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance. What We're Looking For Cross River Bank is seeking a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent. Responsibilities: Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks. Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions. Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design. Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale. Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps. Design and ensure the platform meets enterprise-grade security and financial regulatory standards. Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence. Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling. Qualifications: Hands-on production experience with Large Language Models, prompt engineering, RAG workflows, agent frameworks, and LLM evaluation strategies. Experience building and consuming MCP servers. 5+ years of professional software development with a proven record on complex full-stack systems. Experience with modern JavaScript (ES6+), React, state management (Redux, Zustand, or similar) at scale. Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform) is a plus. Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership. Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows. Great communicator with the ability to influence technical direction and manage stakeholder expectations. Salary Range: $160,000.00 - $200,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
09/23/2026
Full time
Who We Are Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively - trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance. What We're Looking For Cross River Bank is seeking a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent. Responsibilities: Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks. Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions. Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design. Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale. Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps. Design and ensure the platform meets enterprise-grade security and financial regulatory standards. Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence. Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling. Qualifications: Hands-on production experience with Large Language Models, prompt engineering, RAG workflows, agent frameworks, and LLM evaluation strategies. Experience building and consuming MCP servers. 5+ years of professional software development with a proven record on complex full-stack systems. Experience with modern JavaScript (ES6+), React, state management (Redux, Zustand, or similar) at scale. Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform) is a plus. Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership. Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows. Great communicator with the ability to influence technical direction and manage stakeholder expectations. Salary Range: $160,000.00 - $200,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
