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This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Dealer Applications Unit manages mission-critical systems providing essential connectivity and operational support for all Honda dealers, Independent Service Repair facilities, and field associates across all business lines. As a key member, the Team Manager leads the team responsible for the design, development, and maintenance of dealer and field application platforms, ensuring alignment with organizational objectives, compliance, operational excellence, and platform innovation. Strategic Leadership: Present IT strategy and updates to executives and senior leadership. Collaborate with business, IT teams, and partners to identify, recommend, develop, implement, and support fast, modern, and cost-effective technology solutions and services. Team Management: Provide leadership, direction, mentoring, and supervision for team members. Ensure the success of projects, enhancements, and support, including budget and QCD (Quality, Cost, and Delivery). Project and Support Oversight: Ensure all projects, enhancements, and portfolio support follow IT methodologies. Serve as the initial point of escalation for issues, reporting to the Unit Manager as needed. Technical Leadership: Act as Solutions Architect on multiple projects, leading technical workstreams and partnering with architects and review boards to obtain approvals. Build vision, technology roadmaps, and planning artifacts. Governance and Compliance: Provide governance and oversight for all team activities. Define and implement IT policies, procedures, and best practices. Ensure compliance with enterprise and industry standards, security, data privacy, SOX, and PII regulations. Support audits. Innovation and Improvement: Work with management, vendors, and partners to identify opportunities for business innovation and technology improvements. Develop relationships to ensure business requirements are met. Budget Management: Assist and contribute to budgetary processes. Ensure budgets are adhered to and allocated correctly. Talent Acquisition: Conduct interviews for candidates and assist with vendor/third-party agreements. The ideal candidate is a proactive leader who drives innovation, fosters teamwork, demonstrates strong service orientation, and delivers results in a dynamic IT environment Key Accountabilities Vision & Strategy: Lead the applications team and partner with the Unit Manager to set priorities, communicate business and IT strategy, and maintain technology roadmaps aligned with department, division, and enterprise objectives. Team Leadership: Build an inclusive, high-performing team through workforce planning, coaching, mentoring, engagement, performance management, clear goals, and thoughtful allocation of employees and contingent resources. Delivery & Operations: Deliver projects, enhancements, production support, system and security upgrades, operational KPIs, health reporting, and audit commitments. Manage scope, schedule, quality, budget, risk, escalations, asset compliance, and continuous improvement using established IT and PDCA practices. Technical & Solution Leadership: Direct solution design, architecture oversight, code and design reviews, methodologies, tooling, support models, gap analysis, and technical artifacts. Lead critical workstreams and secure Architecture Review Board approvals. Partnerships & Influence: Build trusted relationships with business, IT, finance, procurement, and vendor partners. Resolve escalations, influence product roadmaps, enforce governance expectations, and promote solutions that improve operations and customer service. Qualifications, Experience, and Skills Minimum educational qualifications: A Bachelor's degree in information technology (IT), computer science / data science, a related field, or equivalent relevant IT industry experience. Minimum work experience: At least 8 years of IT experience, including 5 or more years leading teams, managing resources and vendors, supporting technology delivery, and delivering multiple large-scale projects, platforms, or products. Must have in-depth knowledge of security, privacy, PII, SOX, governance, risk management, and audit practices. Demonstrated experience with application modernization, solution design, architecture governance, code and design reviews, estimation, planning, budgeting, contract negotiation, and Agile and Waterfall delivery. Strong project management, written and verbal communication, executive presentation, stakeholder management, coaching, negotiation, conflict resolution, problem-solving, and root-cause analysis skills. Ability to manage competing priorities and deadlines, develop team members, build executive-level networks, and partner effectively across business, IT, and vendor organizations. Experience with enterprise B2B web environments, architecture artifacts such as context and data-flow diagrams, capability and technology roadmaps, and Architecture Review Boards is preferred. Should have prior demonstrable industry experience in both cloud environment, e.g. - AWS, Azure etc and on premise. Proficiency with common productivity and diagramming tools, including PowerPoint, Excel, Word, and Visio. Highly desirable: Prior automotive industry experience. Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Visa sponsorship issues This position is not eligible for work visa sponsorship. Relocation Assistance This position is not eligible for any relocation assistance What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401(K) Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Lead Honda's global Firewall Management team responsible for securing enterprise IT, manufacturing OT, connected products, and partner ecosystems. Coordinate the design, implementation, operation, and continuous improvement of firewall services, ensuring alignment with cybersecurity standards, regulatory requirements, and business objectives. Collaborate with global technology teams to develop secure network architectures, manage firewall policies, monitor security threats, and maintain service availability. Provide technical leadership, coaching, and operational oversight while driving best practices, risk reduction, and continuous improvement across Honda's global firewall environment. Key Accountabilities Lead and develop the global firewall management team through coaching, performance management, training, and workload prioritization. Define, implement, and enforce firewall standards, policies, and governance aligned with Honda cybersecurity requirements. Partner with infrastructure, cloud, application, and security teams to design and deploy secure network architectures. Oversee firewall operations, performance monitoring, maintenance, and optimization to ensure security, reliability, and availability. Lead incident response, root cause analysis, and resolution of firewall and network security issues. Manage escalations, vendor relationships, compliance activities, and continuous improvement initiatives while meeting established service levels. Qualifications, Experience, and Skills Education: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related field, or equivalent relevant work experience. Minimum experience: At least 8 or more years in network security or infrastructure operations, including 2+ years leading technical teams. Other job specific skills: Expertise in firewall technologies (Cisco, Palo Alto, Fortinet, Check Point). Strong knowledge of TCP/IP, VPN, SSL, IPSec, IDS/IPS, and network security principles. Experience in incident response, risk management, and security operations. Familiarity with NIST, ISO 27001, PCI-DSS, and cloud security (e.g. - Azure / AWS). Strong leadership, communication, stakeholder management, and problem-solving capabilities. Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Visa sponsorship issues This position is not eligible for work visa sponsorship What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details

Job Description Job Description Role Overview The Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business. Key Responsibilities Define and evolve the long-term data architecture and technical vision Design highly scalable, resilient data platforms and pipelines Set standards for data modeling, reliability, observability, and governance Lead complex, high-risk technical initiatives and migrations Serve as the escalation point for critical data incidents and root cause analysis Influence tool selection and technology adoption across the data stack Mentor Staff and Senior Data Engineers and elevate engineering excellence Partner with leadership to align data strategy with business goals Ensure data platforms support analytics, ML, and product use cases at scale Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 10+ years of experience in data engineering or related disciplines Expert-level SQL and strong proficiency in Python or similar languages Deep experience with data warehousing, data lakes, and distributed systems Proven track record of designing and operating large-scale data platforms Strong systems thinking and architectural decision-making skills Preferred Experience Cloud platforms (AWS, Azure, or GCP) Streaming and real-time systems (Kafka, Spark, Flink, etc.) Advanced data governance, security, and compliance practices Supporting ML, AI, or product-led data platforms Influencing technical direction without direct managerial authority

Job Description Job Description Job Role - Adobe Experience Manager Location - New Haven, CT (2-3 Days Onsite per month) Client Assa Abloy (Kindly do not post it or let the candidate know in initial stage the client name) Bill Rate - $100-/hr Expr. range - 10-15 yrs. Interview Process - 1-2 internal and 2 client rounds Must have skills : Adobe Experience Manager, Elastic Search Good to have skills: Magento ,APIM/AWS will be plus Job Description : Act as a senior individual contributor delivering high-quality, scalable, and maintainable code. Design and implement enterprise-grade solutions using Adobe Experience Manager (AEM). Design, implement, and optimize search and indexing solutions using Elastic / Elastic Cloud. Create and review low-level and high-level architecture designs. Work closely with customers and stakeholders to gather requirements, clarify expectations, and provide technical guidance. Participate in technical discussions, design reviews, and solution walkthroughs with clients. Integrate AEM with third-party systems, APIs, and enterprise platforms. Ensure application performance, scalability, security, and best practices. Mentor junior developers and contribute to code reviews and technical standards. Troubleshoot production issues and provide long-term solutions and optimizations.

Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior Information Security Analyst to strengthen our cloud security posture and reduce enterprise cyber risk. You will lead the triage, prioritization, remediation, and validation of cloud security findings identified through Wiz. In this role, you will partner with application, cloud platform, engineering, and infrastructure teams to resolve Critical and High-risk vulnerabilities, establish ownership for unknown cloud assets, and manage security exceptions. You will translate technical findings into clear remediation plans, operational metrics, and leadership reporting. This position is ideal for a cybersecurity professional experienced in cloud vulnerability management, exposure management, risk-based prioritization, and cross-functional remediation. The underlying P4 career-model description calls for advanced cybersecurity expertise, cross-functional collaboration, remediation leadership, technical documentation, and influence across enterprise security activities. What You'll Do Monitor and manage vulnerabilities, misconfigurations, attack paths, and other cloud security findings identified through Wiz. Triage and prioritize findings using severity, exploitability, exposure, business impact, asset criticality, and enterprise remediation standards. Drive remediation of Critical, High-risk, and overdue findings by establishing action plans with application, platform, engineering, and infrastructure owners. Investigate cloud assets without identified ownership, including virtual machines, containers, workloads, and serverless resources, and coordinate handoff to accountable teams. Review suppression, exemption, dismissal, and risk-acceptance requests; validate supporting evidence and maintain audit-ready disposition records. Validate vulnerability closure, facilitate root-cause investigations, identify recurring issues, and recommend strategic risk-reduction initiatives. Improve remediation workflows, ownership assignment, governance, reporting, and automation, including integrations involving Wiz, ServiceNow, Rapid7, and Panorama. Report on Mean Time to Remediate, Critical and High findings, overdue vulnerabilities, exception volumes, unknown assets, remediation trends, and risk-reduction outcomes. Basic Requirements 7+ years of progressive experience in cybersecurity engineering, cloud security, vulnerability management, exposure management, infrastructure security, or a closely related field. Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related discipline, or an equivalent combination of education and relevant experience. Demonstrated experience triaging, prioritizing, and driving remediation of cloud vulnerabilities or security findings. Hands-on experience using Wiz or a comparable cloud security, CNAPP, CSPM, or vulnerability-management platform. Experience applying risk-based prioritization using technical severity, exploitability, exposure, asset context, and business risk. Experience partnering with cloud, application, engineering, or infrastructure teams to coordinate security remediation within GCP, AWS, or Azure cloud architectures. Experience evaluating security findings in the context of cloud architecture, including vulnerability exceptions, risk acceptances, suppressions, and other dispositions, within GCP, AWS, or Azure. Experience developing security metrics, remediation reporting, and written documentation for technical and leadership audiences. Preferred Skills/Experience Experience with Wiz Vulnerability Management, Wiz Security Graph, cloud exposure analysis, or attack-path investigation. Familiarity with ServiceNow, Rapid7, or integrations supporting vulnerability tracking and remediation workflows. Knowledge of cloud workloads, virtual machines, containers, serverless technologies, and cloud asset inventories. Experience automating reporting, remediation tracking, asset ownership assignment, or security workflow processes. Understanding of vulnerability-management governance, remediation service-level expectations, exception management, and audit documentation. Experience facilitating remediation reviews, resolving ownership gaps, and escalating overdue security findings. Ability to translate technical risk into concise, actionable communication for engineering teams and leadership. Relevant certifications such as CISSP, CCSP, Security+, AWS Certified Security, Azure Security Engineer, or comparable credentials. Travel, Work Environment and Physical Requirements Work arrangement and in-office expectations will be based on the position's approved location and team requirements. Travel requirements, if any, will be specified in the final posting. Work primarily involves using standard computer and collaboration technology. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $122,300 - $203,900 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The McKesson Pentest Team is seeking a Penetration Testing Engineer to help support and scale McKesson's Continuous Adversarial Testing (CART) program and strengthen the security posture of our enterprise application ecosystem. This role provides technical support for offensive security programs, focusing on AI-enabled security testing, web application penetration testing, cloud security assessments, vulnerability validation, and adversarial testing across large-scale application portfolios. The individual in this role will partner with a pentest lead, engineering, product, cloud, and security teams to identify complex attack paths, validate threats, and drive remediation efforts that reduce business risk. The position will play a key role in executing autonomous security testing capabilities, integrating CART outputs into security operations, and advancing McKesson's offensive security assessments. This role will also help shape the future direction of AI-assisted security testing, automation, and modern offensive security methodologies across the enterprise. This is a hands-on technical role for someone who can support the development of a new security program while also performing advanced technical testing, validating AI-generated findings, solving operational challenges, and supporting the long-term direction of McKesson's offensive security capabilities. What You'll Do Work closely with a Lead Pentest Engineer to Implement McKesson's Continuous Adversarial Testing program across large application portfolios. Support and help shape the first iteration of the CART operating model. Execute and refine repeatable onboarding processes covering application context, test accounts, authentication, authorization roles, test data, rate limits, WAF coordination, exclusions, maintenance windows, and emergency stop procedures. Perform human-in-the-loop reviewing, reproducing, validating, prioritizing, and communicating findings generated by autonomous testing platforms. Support the execution of continuous AI assisted penetration tests across high-priority enterprise web applications, including application onboarding, test orchestration, execution oversight, findings validation, and remediation coordination. Implement integrations between CART platforms and vulnerability management, engineering, reporting, and remediation workflows. Conduct AI-enabled web application, API, and cloud security assessments across enterprise environments. Perform penetration testing, adversarial assessments, and vulnerability validation activities against internally developed and third-party applications. Evaluate emerging autonomous security testing capabilities and recommend changes to CART strategy, tooling, and service delivery. Contribute to program documentation including; playbooks, runbooks, technical standards, training materials. Leverage automation and AI-assisted security tooling to scale testing coverage and improve assessment efficiency. Identify and validate complex attack paths involving authentication weaknesses, authorization flaws, business logic vulnerabilities, and multi-stage exploitation scenarios. Evaluate REST APIs, GraphQL APIs, cloud-native architectures, and modern authentication technologies. Partner with engineering teams to explain findings, prioritize remediation efforts, and validate fixes through retesting. Develop and maintain testing methodologies, automation workflows, and security assessment procedures. Contribute to incident investigations, threat modeling activities, and continuous security improvement initiatives. Basic Requirements 4+ years of cybersecurity, application security, penetration testing, offensive security, or related experience. Bachelor's degree or equivalent combination of education and experience. Experience performing web application and API penetration testing. Experience validating security vulnerabilities, assessing exploitability, and distinguishing actionable findings from false positives. Experience assessing enterprise applications utilizing REST APIs, GraphQL APIs, authentication systems, and cloud-native technologies. Working knowledge of AWS, Azure, or Google Cloud Platform (GCP) security concepts. Experience documenting technical findings and communicating remediation guidance to engineering teams. Hands-on experience with Burp Suite Professional, Nuclei, Nmap, Metasploit, Postman, and Kali Linux tools. Preferred Skills/Experience Experience leveraging AI-assisted security tools and security automation platforms. Experience implementing, operating, or scaling continuous security testing, attack simulation, breach and attack simulation, or automated offensive security capabilities. Experience evaluating, validating, and triaging findings from automated or AI-assisted security testing platforms. Experience assessing AI-enabled applications, agent-based systems, LLM integrations, or AI security risks. Familiarity with DevSecOps, CI/CD security controls, and secure software development practices. Knowledge of OWASP Top 10, API Security Top 10, threat modeling, and secure design principles. Experience conducting red team, adversarial simulation, or attack path validation exercises. Knowledge of cloud security architecture and containerized environments. Experience performing cloud security assessments in AWS, Azure, and GCP environments. Experience creating custom security testing scripts and automation workflows. Experience developing proof-of-concept exploits and adversary emulation scenarios. Familiarity with security control validation and compliance frameworks. Experience mentoring engineers and contributing to security program maturity. Experience supporting regulated industries such as healthcare, finance, or other highly regulated environments. Relevant certifications such as OSCP, OSWE, OSWA, OSAI, HTB CWES, HTB CWEE, OSEP, GPEN, GWAPT or equivalent. Travel / Work Environment / Physical Requirements Limited travel may be required based on business needs. Hyrbid, two days a week in the office. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $103,900 - $173,100 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description Job Summary: Client is seeking an Application Architect to design scalable, secure application and integration architectures across our enterprise technology landscape, with strong emphasis on our Snowflake, Kafka, and AWS data ecosystem, and the ability to architect AI-enabled solutions including RAG pipelines and agentic workflows. Key Responsibilities Own end-to-end application architecture - design, integration patterns, deployment topology, scalability, resiliency, and security. Define architecture blueprints, reference patterns, and Architecture Decision Records (ADRs) for enterprise applications. Design integration architecture across core banking systems, data platforms, and downstream applications (APIs, event streams, batch). Architect data movement using Snowflake native components (Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables) and dbt for transformations. Design Kafka-based real-time and event-driven integration patterns. Architect application and integration solutions on AWS (S3, Lambda, Glue, MSK, IAM, API Gateway). Architect RAG-based pipelines (retrieval strategy, vector store integration, LLM API integration) and design patterns for agentic workflows (tool-calling, orchestration, human-in-the-loop). Lead architecture reviews, enforce standards, and mentor engineering teams on design best practices. Maintain architecture documentation (system diagrams, data flows, sequence diagrams) and present designs to technical and business stakeholders. Ensure solutions align with banking regulatory and security requirements. Required Skills & Experience 10 years in application/solution architecture, preferably in financial services. Strong experience with Snowflake (Snowpark, Snowpipe, Streams/Tasks) and dbt. Hands-on experience with Kafka integration architecture. Strong working knowledge of AWS (S3, Lambda, Glue, MSK, IAM). Experience architecting end-to-end data movement (batch and streaming). Practical knowledge of RAG architecture (vector stores, embeddings, LLM integration) and agentic workflow design. Strong grasp of enterprise integration patterns, microservices, and API design. Ability to produce architecture artifacts (ADRs, diagrams) and communicate effectively with technical and executive stakeholders. Preferred Qualifications Banking/financial services experience, familiarity with SOX, PCI-DSS, GLBA. TOGAF, Snowflake (SnowPro Architect), or AWS Solutions Architect certification. Experience with Infrastructure-as-Code (Terraform/CloudFormation). Education Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent experience.

Job Description Job Description We are seeking a highly skilled and experienced Application Security Engineer to join our Application Security team to take charge and advance our application security initiatives, while ensuring the security and integrity of our applications. You will drive security best practices, identify vulnerabilities, and implement solutions to protect our systems and data from evolving threats. This role will require collaboration with development teams, security architects, leadership, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Opportunity Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Embed security best practices into the software development lifecycle (SDLC). Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Develop, configure, and maintain tools for static and dynamic application security testing (SAST/DAST). Evaluate third-party software and APIs for security compliance Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects of cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Educate developers and stakeholders on secure coding practices. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications : Bachelor's or master's degree in computer science, Information Security, or a related field. 8+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications: Relevant security certifications such as CEH, OSCP, CISSP, or GWAPT from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Strong knowledge of application security vulnerabilities and best practices (e.g., OWASP Top 10, etc.) Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), containerized environments (Docker, Kubernetes), and API security. Hands-on experience with security tools such as SAST, DAST, SCA, IAST, and fuzzing tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advance understanding and experience with writing source code in at least one programming language (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of encryption, authentication, and access control. Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science

Job Description Job Description Duties: We are seeking an experienced Application Security Engineer to join our Software Security team and take charge of ensuring the security and integrity of our software applications. The ideal candidate will have advanced knowledge of secure software development, extensive experience with identifying vulnerabilities, and the ability to implement robust security solutions. This role will require collaboration with development teams, security architects, and other stakeholders to integrate security best practices into all stages of the software development lifecycle. The Impact Your key responsibilities will consist of the following to ensure applications are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Conduct in-depth security assessments, including vulnerability scanning, and code reviews. Leverage automated tools and manual testing techniques to identify, risk assess and prioritize and propose mitigation strategies for identified threats and application-level vulnerabilities (e.g., OWASP Top 10, etc.) ensuring our applications meet security standards and reducing exposure to data breaches. Collaborate with security architects to design secure application architectures that align with industry best practices. Ensure secure coding practices are followed, and security controls are incorporated into software designs. Conduct detailed threat modeling to identify attack vectors and potential weaknesses. Collaborate with our SDLC Council to develop and maintain secure coding standards, empowering developers to integrate security into the development process. Partner with DevOps teams to implement security within CI/CD (continuous integration & delivery) pipelines for automated and seamless deployment of secure code. Assist in incident response activities related to application security breaches, providing rapid identification and mitigation guidance. Ensure compliance with security regulations, frameworks, and industry standards such as OWASP. Leverage reporting tools to demonstrate the overall risk through metrics (KPIs, KRIs, OKRs) of vulnerabilities and code defects to cyber assets for various team leaders and executive leadership for risk prioritization and enablement of risk-based decision-making. Stay up to date with the latest security threats, vulnerabilities, and industry trends to inform and improve security strategies. Strong problem-solving abilities and analytical thinking. Excellent communication skills to explain security issues to both technical and non-technical stakeholders. A team player with the ability to work in a collaborative, fast-paced environment. The Minimum Qualifications Bachelor's or master's degree in computer science, Information Security, or a related field. Minimum of 5+ years of experience in application security, penetration testing, or secure software development. The Ideal Qualifications Relevant security certifications such as CEH, OSCP, or GWAPT) from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) Strong knowledge of secure software development methodologies, including threat modeling, code reviews, and static/dynamic analysis. Experience in integrating security into DevOps (DevSecOps) and CI/CD environments. Strong technical knowledge of web application security, cloud security (AWS, Azure, GCP), mobile security, infrastructure as code (IaC), container security, and API security. Familiarity with SAST, DAST, and IAST tools. Deep understanding of common vulnerabilities (e.g., OWASP Top 10) and their mitigations. Advanced understanding and experience with writing source code (e.g., JavaScript, Java, C/C++/C#, Python, etc.) and familiarity with software security frameworks (e.g., Maven, Node, Gradle, etc.). Experience with identifying security vulnerabilities/defects in dockers, containers, and Kubernetes. Experience with cloud deployment and automation tools (Terraform, GitHub Actions, Jenkins, AWS Cloud Formation Templates, Secrets Managers). Knowledge of compliance and regulatory frameworks (SOC 2, etc.). Education: Bachelor's or master's degree in computer science. Skills and Experience: Required Skills: MITIGATION CLOUD SECURITY METRICS SCANNING GCP Additional Skills: SOC INFORMATION SECURITY API DYNAMIC ANALYSIS C JAVA MAVEN AMAZON WEB SERVICES PROBLEM-SOLVING GITHUB DEPLOYMENT REPORTING TOOLS INCIDENT RESPONSE C/C++ CONTINUOUS INTEGRATION/DELIVERY TERRAFORM CODING DEV OPS EXCELLENT COMMUNICATION SKILLS JAVASCRIPT SOFTWARE SECURITY COMPTIA PYTHON STRUCTURED SOFTWARE GIAC SDLC JENKINS CODING STANDARDS TEAM PLAYER GRADLE KUBERNETES

Job Description Job Description Job Title: Senior Application Architect - AI Agentic, Integration & Architecture COE Location: New York, NY (Hybrid - 3 days onsite and 2 days remote per week) Duration: 12 Months / CONTRACT NO BENEFITS Working Hours: 37.5 hours per week Position Level: Senior Level Certifications: Cloud certification and other relevant certifications preferred. Position Summary We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE). The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise. Key Responsibilities 1. AI Agentic Architecture Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture Design and govern API-led, event-driven, and messaging-based integration architectures. Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. Ensure integration architectures support interoperability, scalability, security, and maintainability. Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) Develop, publish, and maintain application, integration, API, and AI architecture standards. Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. Provide technical leadership throughout solution design, architecture reviews, and implementation activities. Required Qualifications 10+ years of experience in application architecture or enterprise architecture. Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. Strong knowledge of security architecture, risk management, and enterprise governance frameworks. Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience Complex Data Architecture: 6+ years of experience. Information Architecture: 6+ years of experience. IT Architecture: 6+ years of experience. Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications Microsoft Azure or AWS cloud certification. Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture.