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.
11/08/2026
Full time
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.
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come. Job Purpose and Impact The Senior Application Developer designs, builds, tests, deploys, and supports backend services and cloud-hosted application components for the DT&D ERP TRM team. The role owns complex application changes from technical refinement through production support and continuous improvement. The primary emphasis is backend and cloud engineering: developing APIs, business services, event-driven integrations, and secure cloud-native application components; automating build and deployment workflows; and operating services reliably in production. Frontend development, analytics, and data-pipeline engineering are supporting concerns rather than the core focus of the role. This is a hands-on senior individual contributor position. The developer works independently on complex assignments, makes sound code-level and component-level decisions, and collaborates with product managers, business partners, architects, security, cloud platform, and operations teams when broader alignment is required. Key Accountabilities APPLICATION CONFIGURATION MANAGEMENT: Builds complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures. APPLICATION DEVELOPMENT & DEPLOYMENT: Performs advanced programming, configuration, testing and deployment of fixes or updates for application version releases. USER COMMUNICATION & SUPPORT: Plays a key role and keeps an open channel of communication with users to respond to complex application support requests and needs. APPLICATION SUPPORT: Conducts complex technical application support activities to deliver on business outcomes. STAKEHOLDER MANAGEMENT: Partners with multi-functional teams, including developers, product managers and business partners to ensure configurations align with standards and project goals. INCIDENT & REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets and user requests. VENDOR MANAGEMENT: Handles positive relationships with software vendors and negotiates complex contracts. Qualifications Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: Experience with designing, implement, test, document, deploy, and support complex custom applications, integrations, business workflows, reporting solutions, and data products. SAP HANA, SQL and SAP HANA Cloud data modeling. Has experience with writing clean, modular, maintainable code and apply appropriate patterns for reliability, security, and supportability. Investigates and resolves defects, performance issues, and production incidents across application, integration, and data layers. Has applied and applies AI-assisted and agentic engineering tools responsibly for coding, testing, documentation, and review, with human accountability, secure handling of data and code, and established quality controls. Participates in code reviews and incorporate feedback to improve reliability and shared code quality. Delivers changes iteratively using automated testing, CI/CD, and disciplined release practices. Experience in ERP, TRM, commodity trading, risk, logistics, supply chain, or similar business domains. Experience supporting global or multi-region business operations. Equal Opportunity Employer, including Disability/Vet.
11/08/2026
Full time
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come. Job Purpose and Impact The Senior Application Developer designs, builds, tests, deploys, and supports backend services and cloud-hosted application components for the DT&D ERP TRM team. The role owns complex application changes from technical refinement through production support and continuous improvement. The primary emphasis is backend and cloud engineering: developing APIs, business services, event-driven integrations, and secure cloud-native application components; automating build and deployment workflows; and operating services reliably in production. Frontend development, analytics, and data-pipeline engineering are supporting concerns rather than the core focus of the role. This is a hands-on senior individual contributor position. The developer works independently on complex assignments, makes sound code-level and component-level decisions, and collaborates with product managers, business partners, architects, security, cloud platform, and operations teams when broader alignment is required. Key Accountabilities APPLICATION CONFIGURATION MANAGEMENT: Builds complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures. APPLICATION DEVELOPMENT & DEPLOYMENT: Performs advanced programming, configuration, testing and deployment of fixes or updates for application version releases. USER COMMUNICATION & SUPPORT: Plays a key role and keeps an open channel of communication with users to respond to complex application support requests and needs. APPLICATION SUPPORT: Conducts complex technical application support activities to deliver on business outcomes. STAKEHOLDER MANAGEMENT: Partners with multi-functional teams, including developers, product managers and business partners to ensure configurations align with standards and project goals. INCIDENT & REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets and user requests. VENDOR MANAGEMENT: Handles positive relationships with software vendors and negotiates complex contracts. Qualifications Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: Experience with designing, implement, test, document, deploy, and support complex custom applications, integrations, business workflows, reporting solutions, and data products. SAP HANA, SQL and SAP HANA Cloud data modeling. Has experience with writing clean, modular, maintainable code and apply appropriate patterns for reliability, security, and supportability. Investigates and resolves defects, performance issues, and production incidents across application, integration, and data layers. Has applied and applies AI-assisted and agentic engineering tools responsibly for coding, testing, documentation, and review, with human accountability, secure handling of data and code, and established quality controls. Participates in code reviews and incorporate feedback to improve reliability and shared code quality. Delivers changes iteratively using automated testing, CI/CD, and disciplined release practices. Experience in ERP, TRM, commodity trading, risk, logistics, supply chain, or similar business domains. Experience supporting global or multi-region business operations. Equal Opportunity Employer, including Disability/Vet.
AI Solutions Engineer Lead Senior Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The AI Solutions Engineer Lead Senior(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms. This role requires a strong hands-on engineer with deep experience building AI-enabled systems and using AI agents and coding assistants across the SDLC (planning, design, implementation, testing, deployment, and production support). The ideal candidate will drive adoption of AI capabilities across the portfolio, establish best practices, and mentor teams to scale AI-enabled engineering. How You Will Make an Impact Primary duties may include, but are not limited to: Lead development and architecture of agentic AI solutions, including orchestration, tool integration, and reusable enterprise patterns. Daily or weekly use of AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar. Define and implement model evaluation frameworks (quality, accuracy, safety, and performance metrics) and guide teams on continuous improvement. Demonstrates knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information. Improve AI output quality through prompt optimization and model tuning. Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business. Anticipates broad technical change and ensures that company technology stays ahead of the curve. Understands the entire architecture for a major part of our business and is able to articulate the scaling and reliability limits. Owns the change request process and coordinates with other teams as necessary. Develops and owns list of final enhancements. Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written. Performs technical design reviews and code reviews. Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan. Responsible for delivery of application technology solutions and data information planning effort. May participates in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems. Partners with technical and non technical stakeholder to identify the long term technical trajectory of the technology infrastructure. Creates architecture and anticipates future technology needs. Leads the conversations internally about the direction of major areas of the technology, drives wide-team consensus to the adoption of this direction, and uses this direction when engaging engineers. Coordinates and manages on-call support and owns the system monitoring process. Reviews and monitors initiatives for end to end impact and coordination. Participates in review and decision making for enterprise solutions. Minimum Requirements: Requires a BA/BS degree in Information Technology, Computer Science or related field of study, and a minimum of 9 years experience; experience with multi dimensional platforms, and business and technical applications required; or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Capabilities, and Experiences: Experience mentoring others, driving teams to achieve results, leading multiple and/or large projects, and provide troubleshooting support strongly preferred. Multi database and/or multi language strongly preferred. Experience with US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security experience. Project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE). Knowledge of Agile/SAFe delivery and portfolio management tools. Strong communication skills and ability to explain AI concepts to non technical audiences. Experience integrating AI into tools such as JIRA or similar delivery platforms. Strong software engineering fundamentals including, cloud-native development, APIs and microservices, CI/CD, automated testing, and secure SDLC strongly preferred. Experience building or integrating AI agents, tool/function calling, RAG, memory, model routing, evaluations, guardrails, observability, and secure API/tool access strongly preferred. Experience building LLM or SLM applications. Ability to review, test, and harden AI-generated code.
11/08/2026
Full time
AI Solutions Engineer Lead Senior Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The AI Solutions Engineer Lead Senior(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms. This role requires a strong hands-on engineer with deep experience building AI-enabled systems and using AI agents and coding assistants across the SDLC (planning, design, implementation, testing, deployment, and production support). The ideal candidate will drive adoption of AI capabilities across the portfolio, establish best practices, and mentor teams to scale AI-enabled engineering. How You Will Make an Impact Primary duties may include, but are not limited to: Lead development and architecture of agentic AI solutions, including orchestration, tool integration, and reusable enterprise patterns. Daily or weekly use of AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar. Define and implement model evaluation frameworks (quality, accuracy, safety, and performance metrics) and guide teams on continuous improvement. Demonstrates knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information. Improve AI output quality through prompt optimization and model tuning. Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business. Anticipates broad technical change and ensures that company technology stays ahead of the curve. Understands the entire architecture for a major part of our business and is able to articulate the scaling and reliability limits. Owns the change request process and coordinates with other teams as necessary. Develops and owns list of final enhancements. Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written. Performs technical design reviews and code reviews. Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan. Responsible for delivery of application technology solutions and data information planning effort. May participates in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems. Partners with technical and non technical stakeholder to identify the long term technical trajectory of the technology infrastructure. Creates architecture and anticipates future technology needs. Leads the conversations internally about the direction of major areas of the technology, drives wide-team consensus to the adoption of this direction, and uses this direction when engaging engineers. Coordinates and manages on-call support and owns the system monitoring process. Reviews and monitors initiatives for end to end impact and coordination. Participates in review and decision making for enterprise solutions. Minimum Requirements: Requires a BA/BS degree in Information Technology, Computer Science or related field of study, and a minimum of 9 years experience; experience with multi dimensional platforms, and business and technical applications required; or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Capabilities, and Experiences: Experience mentoring others, driving teams to achieve results, leading multiple and/or large projects, and provide troubleshooting support strongly preferred. Multi database and/or multi language strongly preferred. Experience with US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security experience. Project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE). Knowledge of Agile/SAFe delivery and portfolio management tools. Strong communication skills and ability to explain AI concepts to non technical audiences. Experience integrating AI into tools such as JIRA or similar delivery platforms. Strong software engineering fundamentals including, cloud-native development, APIs and microservices, CI/CD, automated testing, and secure SDLC strongly preferred. Experience building or integrating AI agents, tool/function calling, RAG, memory, model routing, evaluations, guardrails, observability, and secure API/tool access strongly preferred. Experience building LLM or SLM applications. Ability to review, test, and harden AI-generated code.
Job Description Job Description: Technical Leadership & Architecture Define and drive the long-term technology strategy for Financial Crime modernization initiatives. Lead architecture and implementation of AI-powered investigation platforms, decisioning engines, and agentic workflows. Establish engineering standards, design patterns, and reference architectures across Financial Crime platforms. Serve as the highest-level technical reviewer for architecture, security, scalability, resiliency, and performance decisions. Lead technical design reviews and influence enterprise architecture direction. AI & Agentic Engineering Design and implement GenAI and Agentic AI solutions for: o Investigator copilots o Alert triage and disposition o Risk assessment o Entity resolution o SAR narrative generation o Customer screening o Knowledge retrieval and decisioning Evaluate and implement modern AI frameworks including LLM orchestration, agent frameworks, vector databases, RAG architectures, model routing, guardrails, and observability. Partner with Data Science teams to operationalize AI/ML models into scalable production platforms. Engineering Excellence Write and review high-quality production code when necessary. Lead proof-of-concepts, rapid prototyping, and technical spikes. Mentor senior engineers and establish best practices for software engineering. Drive automation, CI/CD, DevSecOps, testing, and operational excellence. Resolve complex technical challenges across multiple platforms and teams. Platform Modernization Lead migration from legacy Financial Crime applications to cloud-native architectures. Architect scalable microservices, event-driven systems, and API-first platforms. Design enterprise capabilities for: o Real-time risk assessment o Customer screening o Case management o Regulatory reporting o AI orchestration o Data ingestion and processing Drive modernization using cloud technologies and enterprise platforms. Stakeholder Partnerships
11/08/2026
Full time
Job Description Job Description: Technical Leadership & Architecture Define and drive the long-term technology strategy for Financial Crime modernization initiatives. Lead architecture and implementation of AI-powered investigation platforms, decisioning engines, and agentic workflows. Establish engineering standards, design patterns, and reference architectures across Financial Crime platforms. Serve as the highest-level technical reviewer for architecture, security, scalability, resiliency, and performance decisions. Lead technical design reviews and influence enterprise architecture direction. AI & Agentic Engineering Design and implement GenAI and Agentic AI solutions for: o Investigator copilots o Alert triage and disposition o Risk assessment o Entity resolution o SAR narrative generation o Customer screening o Knowledge retrieval and decisioning Evaluate and implement modern AI frameworks including LLM orchestration, agent frameworks, vector databases, RAG architectures, model routing, guardrails, and observability. Partner with Data Science teams to operationalize AI/ML models into scalable production platforms. Engineering Excellence Write and review high-quality production code when necessary. Lead proof-of-concepts, rapid prototyping, and technical spikes. Mentor senior engineers and establish best practices for software engineering. Drive automation, CI/CD, DevSecOps, testing, and operational excellence. Resolve complex technical challenges across multiple platforms and teams. Platform Modernization Lead migration from legacy Financial Crime applications to cloud-native architectures. Architect scalable microservices, event-driven systems, and API-first platforms. Design enterprise capabilities for: o Real-time risk assessment o Customer screening o Case management o Regulatory reporting o AI orchestration o Data ingestion and processing Drive modernization using cloud technologies and enterprise platforms. Stakeholder Partnerships
Job Description About the Role The DBS GTM Lead is a strategic growth leader responsible for driving revenue, market expansion, and client transformation opportunities across assigned industries, strategic accounts, and geographies. The role acts as the bridge between customers, industry teams, sales organizations, solution groups, alliance partners, and delivery organizations to create differentiated business value through HCLTech's Digital Business Services portfolio. The DBS GTM Lead is expected to identify, shape, and convert transformational opportunities across Application Services, Data & AI, Intelligent Operations, Enterprise Platforms, and Industry Solutions. The role requires strong executive engagement, consultative selling capabilities, industry knowledge, and the ability to position AI-led and outcome-based transformation programs that address client business priorities. As a trusted advisor, the GTM Lead will build executive relationships, develop account growth strategies, influence large deal pursuits, and orchestrate cross-functional teams to accelerate pipeline, order booking, revenue growth, and customer success. Job Title: DBS Go-To-Market (GTM) Lead Location: NJ/ Chicago/ Dallas Purpose of the Role Drive profitable growth for the DBS business by: Expanding strategic relationships within assigned accounts and industries. Building and executing account-based and industry-led growth strategies. Creating qualified pipeline and winning large transformation programs. Positioning AI-led, digital, cloud, data, and business transformation solutions. Strengthening partnerships and ecosystem-led opportunities. Delivering measurable revenue, margin, and customer satisfaction outcomes. Key Responsibilities Develop and execute account-specific GTM strategies. Identify, qualify, and drive new business opportunities within existing accounts. Build strong relationships with senior client stakeholders. Position AI, automation, and digital transformation solutions to address client challenges. Create account plans focused on growth, upsell, and cross-sell opportunities. Collaborate with sales, delivery, product, and technical teams to align solutions with client needs. Monitor account performance and provide strategic recommendations to drive growth. Preferred Industry Experience Telecom, Media, Technology, Platforms, High Tech, Cloud, Digital Engineering, or IT Services. Success in This Role You'll be expected to quickly build client relationships, develop growth plans, identify AI-led transformation opportunities, and drive revenue expansion within your portfolio. Qualifications & Experience Education Bachelor's degree in Engineering, Technology, Business Administration, or related field. MBA or equivalent business qualification preferred. Experience 12+ years of experience in technology sales, consulting, business development, account management, or digital transformation. Proven track record of achieving revenue and order booking targets. Experience selling digital transformation, cloud, AI, data, applications, engineering, or business services solutions. Demonstrated success working with CxO stakeholders and large enterprises. Experience in large deal pursuits, solution selling, and strategic account growth. Understanding of AI, GenAI, automation, and digital transformation trends. Experience working within global delivery and matrixed organizations. Skills & Competencies Business & Commercial Skills Strong consultative selling and business development capabilities. Ability to develop executive-level value propositions. Experience in large transformation pursuits and deal shaping. Financial acumen and understanding of business case development. Commercial negotiation and contract awareness. Industry Knowledge Strong understanding of digital transformation trends across industries. Knowledge of enterprise technology landscapes and modernization programs. Awareness of evolving AI, GenAI, Agentic AI, automation, cloud, and data trends. Leadership Skills Executive presence and stakeholder management. Ability to influence without authority across matrix organizations. Strong communication and storytelling skills. Strategic thinking and problem-solving capabilities. Ability to lead virtual and cross-functional teams globally. Technical Understanding Working knowledge of: Enterprise Platforms (SAP, Salesforce, ServiceNow, Oracle) Data & AI Platforms Generative AI & Agentic AI Cloud & Application Modernization Intelligent Automation Analytics & Business Intelligence How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best. Equality & Opportunity for All Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Pay Range Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.
11/08/2026
Full time
Job Description About the Role The DBS GTM Lead is a strategic growth leader responsible for driving revenue, market expansion, and client transformation opportunities across assigned industries, strategic accounts, and geographies. The role acts as the bridge between customers, industry teams, sales organizations, solution groups, alliance partners, and delivery organizations to create differentiated business value through HCLTech's Digital Business Services portfolio. The DBS GTM Lead is expected to identify, shape, and convert transformational opportunities across Application Services, Data & AI, Intelligent Operations, Enterprise Platforms, and Industry Solutions. The role requires strong executive engagement, consultative selling capabilities, industry knowledge, and the ability to position AI-led and outcome-based transformation programs that address client business priorities. As a trusted advisor, the GTM Lead will build executive relationships, develop account growth strategies, influence large deal pursuits, and orchestrate cross-functional teams to accelerate pipeline, order booking, revenue growth, and customer success. Job Title: DBS Go-To-Market (GTM) Lead Location: NJ/ Chicago/ Dallas Purpose of the Role Drive profitable growth for the DBS business by: Expanding strategic relationships within assigned accounts and industries. Building and executing account-based and industry-led growth strategies. Creating qualified pipeline and winning large transformation programs. Positioning AI-led, digital, cloud, data, and business transformation solutions. Strengthening partnerships and ecosystem-led opportunities. Delivering measurable revenue, margin, and customer satisfaction outcomes. Key Responsibilities Develop and execute account-specific GTM strategies. Identify, qualify, and drive new business opportunities within existing accounts. Build strong relationships with senior client stakeholders. Position AI, automation, and digital transformation solutions to address client challenges. Create account plans focused on growth, upsell, and cross-sell opportunities. Collaborate with sales, delivery, product, and technical teams to align solutions with client needs. Monitor account performance and provide strategic recommendations to drive growth. Preferred Industry Experience Telecom, Media, Technology, Platforms, High Tech, Cloud, Digital Engineering, or IT Services. Success in This Role You'll be expected to quickly build client relationships, develop growth plans, identify AI-led transformation opportunities, and drive revenue expansion within your portfolio. Qualifications & Experience Education Bachelor's degree in Engineering, Technology, Business Administration, or related field. MBA or equivalent business qualification preferred. Experience 12+ years of experience in technology sales, consulting, business development, account management, or digital transformation. Proven track record of achieving revenue and order booking targets. Experience selling digital transformation, cloud, AI, data, applications, engineering, or business services solutions. Demonstrated success working with CxO stakeholders and large enterprises. Experience in large deal pursuits, solution selling, and strategic account growth. Understanding of AI, GenAI, automation, and digital transformation trends. Experience working within global delivery and matrixed organizations. Skills & Competencies Business & Commercial Skills Strong consultative selling and business development capabilities. Ability to develop executive-level value propositions. Experience in large transformation pursuits and deal shaping. Financial acumen and understanding of business case development. Commercial negotiation and contract awareness. Industry Knowledge Strong understanding of digital transformation trends across industries. Knowledge of enterprise technology landscapes and modernization programs. Awareness of evolving AI, GenAI, Agentic AI, automation, cloud, and data trends. Leadership Skills Executive presence and stakeholder management. Ability to influence without authority across matrix organizations. Strong communication and storytelling skills. Strategic thinking and problem-solving capabilities. Ability to lead virtual and cross-functional teams globally. Technical Understanding Working knowledge of: Enterprise Platforms (SAP, Salesforce, ServiceNow, Oracle) Data & AI Platforms Generative AI & Agentic AI Cloud & Application Modernization Intelligent Automation Analytics & Business Intelligence How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best. Equality & Opportunity for All Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Pay Range Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.
Job Description Role: AI Architect Location: Charlotte, NC, Houston, TX, Raleigh, NC, Richardson, TX, Tempe, AZ Full Time Overview The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges. The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI. Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs. The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys' global delivery ecosystem. Job Description In the assigned Job Role of Senior Technologist, your Area Of Responsibility will be as below: Evaluate project requirements and use cases to deliver high-quality, design, frameworks, and production-ready code work products. Design technology frameworks for complex scenarios, develop design patterns and reference implementations. Design reusable assets and conduct design reviews. Deliver high-quality code across applications, databases, and integrations. Optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components, ensuring defect-free production-ready code. Work closely with other teams to ensure alignment on project goals and technology implementations. Provide technical guidance to peers and help maintain delivery consistency and code quality Identify proof of concepts (PoCs) for emerging programming independently develop PoCs for new technologies and complex modules ensuring timely delivery. Provide inputs for multi-technology and multi-language high risk deployments. Evaluate and implement technical services to meet high-quality service (QoS) requirements, ensuring alignment with business and IT key performance indicators (KPIs). Create reusable assets and deliver defect-free, impactful code to achieve quality benchmarks and Zero-Defect Delivery. Support complex projects by resolving technical challenges and reducing risk exposure. Stay updated on emerging technologies and industry trends to inform decision-making and enhance project outcomes. Support test automation and execute test strategies to drive quality improvements. Your contribution to the team: The ability to apply expertise in designing scalable architectures and frameworks for complex technology challenges. Bring a strategic mindset to building reusable components and ensuring high-quality, defect-free delivery. Share knowledge and passion for mentoring by guiding peers and fostering technical excellence across projects. The ability to assess and adopt emerging technologies, translate them into PoCs and deployment ready solutions. Drive performance improvements through advanced engineering practices, meeting demanding service benchmarks. A knack for anticipating risks and resolving technical challenges, ensuring resilience and long-term project success. Required Skill and Experience Core development & architecture experience Analysis and Design skills with experience in core development, design & architect experience, implement design patterns, architecture patterns Experience in developing and applying generative AI models. Understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Experience in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company). Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals. Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability Experience in Open-Source frameworks and tools Ability to write good quality and highly performant code Evaluate and review performance aspects of new and existing code. Perform code reviews to ensure that quality is being maintained. Perform POCs for any new technologies that we may leverage. Experience in working in a fast-paced and agile environment Effective collaboration and communication skills Preferred Skill and Experience Master's degree in computer science, Artificial Intelligence, or a related field (or equivalent experience). Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure Experience in Fine tuning Open-Source AI Models Strong understanding of one or more Domain expertise and associated Industry standards Industry-acclaimed External Certifications, if applicable Active participation in Technology forums Contribution to Open-Source Community. EEO/About Us Benefits Along with competitive pay, as a full-time employee you are also eligible for the following benefits: Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off
11/08/2026
Full time
Job Description Role: AI Architect Location: Charlotte, NC, Houston, TX, Raleigh, NC, Richardson, TX, Tempe, AZ Full Time Overview The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges. The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud-native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI. Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands-on leadership, while mentoring teams and influencing best practices across programs. The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys' global delivery ecosystem. Job Description In the assigned Job Role of Senior Technologist, your Area Of Responsibility will be as below: Evaluate project requirements and use cases to deliver high-quality, design, frameworks, and production-ready code work products. Design technology frameworks for complex scenarios, develop design patterns and reference implementations. Design reusable assets and conduct design reviews. Deliver high-quality code across applications, databases, and integrations. Optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components, ensuring defect-free production-ready code. Work closely with other teams to ensure alignment on project goals and technology implementations. Provide technical guidance to peers and help maintain delivery consistency and code quality Identify proof of concepts (PoCs) for emerging programming independently develop PoCs for new technologies and complex modules ensuring timely delivery. Provide inputs for multi-technology and multi-language high risk deployments. Evaluate and implement technical services to meet high-quality service (QoS) requirements, ensuring alignment with business and IT key performance indicators (KPIs). Create reusable assets and deliver defect-free, impactful code to achieve quality benchmarks and Zero-Defect Delivery. Support complex projects by resolving technical challenges and reducing risk exposure. Stay updated on emerging technologies and industry trends to inform decision-making and enhance project outcomes. Support test automation and execute test strategies to drive quality improvements. Your contribution to the team: The ability to apply expertise in designing scalable architectures and frameworks for complex technology challenges. Bring a strategic mindset to building reusable components and ensuring high-quality, defect-free delivery. Share knowledge and passion for mentoring by guiding peers and fostering technical excellence across projects. The ability to assess and adopt emerging technologies, translate them into PoCs and deployment ready solutions. Drive performance improvements through advanced engineering practices, meeting demanding service benchmarks. A knack for anticipating risks and resolving technical challenges, ensuring resilience and long-term project success. Required Skill and Experience Core development & architecture experience Analysis and Design skills with experience in core development, design & architect experience, implement design patterns, architecture patterns Experience in developing and applying generative AI models. Understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Experience in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company). Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals. Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability Experience in Open-Source frameworks and tools Ability to write good quality and highly performant code Evaluate and review performance aspects of new and existing code. Perform code reviews to ensure that quality is being maintained. Perform POCs for any new technologies that we may leverage. Experience in working in a fast-paced and agile environment Effective collaboration and communication skills Preferred Skill and Experience Master's degree in computer science, Artificial Intelligence, or a related field (or equivalent experience). Experience in cloud-based platforms like OpenShift, AWS, GCP, Azure Experience in Fine tuning Open-Source AI Models Strong understanding of one or more Domain expertise and associated Industry standards Industry-acclaimed External Certifications, if applicable Active participation in Technology forums Contribution to Open-Source Community. EEO/About Us Benefits Along with competitive pay, as a full-time employee you are also eligible for the following benefits: Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Core data objects are at the base of Braze's product offering and power our industry-leading customer engagement tool. The Core Objects team owns our customers' most valuable data structures - the foundation that enables them to use Braze most effectively and implement their most innovative strategies. The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. We're looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data objects, optimizing performance and cost, and owning a complex backend system that enables our entire product offering. You'll take on a variety of challenges as we set out to build new exciting projects in extending and building our Core Objects systems and features. WHO YOU ARE 5+ years of full-stack development experience Experienced technical leader Strong understanding of design, data structures, and algorithms A self-starter with great communication and organizational skills and will have worked in a team environment before Bonus points: Professional experience building software at scale Professional experience with one or more of Ruby, Ruby on Rails, React, Go, SQL, and NoSQL databases, distributed systems, API design/monitoring/best practices Experience with agile processes Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $232,200/year, with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. Depending on where you are located, you may have certain rights available to you in relation to Braze's use of AI: To opt out of AI-assisted review of your application, please click the "Learn More" at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a retroactive manual review of any decision made or to contest a decision, please contact us at . Please contact us at with any questions. To find out more about our hiring process, check out this page . Notice Regarding Automated Employment Decision Tool (NYC Local Law 144) Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. To opt out of AI-assisted review of your application, please click the "Learn More" button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at promptly after applying . click apply for full job details
11/08/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Core data objects are at the base of Braze's product offering and power our industry-leading customer engagement tool. The Core Objects team owns our customers' most valuable data structures - the foundation that enables them to use Braze most effectively and implement their most innovative strategies. The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently. We're looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data objects, optimizing performance and cost, and owning a complex backend system that enables our entire product offering. You'll take on a variety of challenges as we set out to build new exciting projects in extending and building our Core Objects systems and features. WHO YOU ARE 5+ years of full-stack development experience Experienced technical leader Strong understanding of design, data structures, and algorithms A self-starter with great communication and organizational skills and will have worked in a team environment before Bonus points: Professional experience building software at scale Professional experience with one or more of Ruby, Ruby on Rails, React, Go, SQL, and NoSQL databases, distributed systems, API design/monitoring/best practices Experience with agile processes Passionate about customer experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $232,200/year, with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. Depending on where you are located, you may have certain rights available to you in relation to Braze's use of AI: To opt out of AI-assisted review of your application, please click the "Learn More" at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a retroactive manual review of any decision made or to contest a decision, please contact us at . Please contact us at with any questions. To find out more about our hiring process, check out this page . Notice Regarding Automated Employment Decision Tool (NYC Local Law 144) Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. To opt out of AI-assisted review of your application, please click the "Learn More" button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at promptly after applying . click apply for full job details
Job Title: Senior Enterprise Architect - AIOps / Agentic AI / Autonomous Operations Location: Charlotte, NC Duration: Contract - 10 months Pay Range: $70.23/hr (W2) Job ID: 411799 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Senior Enterprise Architect - AIOps / Agentic AI / Autonomous Operations to assess and evolve our Cutover platform. The ideal candidate will have strong experience in enterprise and cloud architecture, AI/ML-enabled operations, and automation platforms, and a proven ability to design scalable, reliable architectures that enable automated incident detection, diagnosis, remediation, and orchestration. Responsibilities: Conduct a current state assessment of the Cutover platform and its ecosystem, including application, infrastructure, integrations, and data flows. Document architecture, identify performance constraints, technical debt, and operational bottlenecks, and evaluate resiliency, scalability, and readiness. Perform capacity and performance engineering across API throughput, database performance, queue utilization, worker concurrency, and integration bottlenecks. Assess infrastructure scaling limits and develop growth and capacity forecasts. Define a future state architecture enabling autonomous operations, automated incident resolution, AI-assisted remediation, event-driven automation, and self-healing platforms. Create a multi-year technology roadmap supporting integration scalability, workload isolation, and automation expansion across CTI and APSE. Evaluate and recommend AI and emerging technologies including agentic AI, AIOps, generative operations assistants, event intelligence, knowledge graphs, autonomous remediation, and predictive incident management. Required Skills & Qualifications: 3-5+ years of enterprise architecture experience with highly distributed, mission-critical systems. Strong cloud and hybrid architecture knowledge, including API-first, event-driven, and microservices patterns. Experience in incident management, SRE practices, operational observability, and reliability engineering in large-scale environments. Understanding of LLM architectures, RAG patterns, AI agents, prompt engineering, AI governance, and model evaluation. Proficiency with productivity software, including Microsoft Office. Preferred Skills: Experience training or fine-tuning AI models and building AI-powered operational workflows. Hands-on integration of AI into enterprise production environments for AIOps and autonomous remediation. Background with workflow orchestration platforms and CI/CD pipelines. Prior work in hybrid operating models within regulated or large-scale environments. Additional Details: Glider: Candidate ID Verification. Hybrid schedule requirement of a minimum of 3 days per week onsite. Hours per Day: 8. Labor Type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
11/07/2026
Full time
Job Title: Senior Enterprise Architect - AIOps / Agentic AI / Autonomous Operations Location: Charlotte, NC Duration: Contract - 10 months Pay Range: $70.23/hr (W2) Job ID: 411799 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Senior Enterprise Architect - AIOps / Agentic AI / Autonomous Operations to assess and evolve our Cutover platform. The ideal candidate will have strong experience in enterprise and cloud architecture, AI/ML-enabled operations, and automation platforms, and a proven ability to design scalable, reliable architectures that enable automated incident detection, diagnosis, remediation, and orchestration. Responsibilities: Conduct a current state assessment of the Cutover platform and its ecosystem, including application, infrastructure, integrations, and data flows. Document architecture, identify performance constraints, technical debt, and operational bottlenecks, and evaluate resiliency, scalability, and readiness. Perform capacity and performance engineering across API throughput, database performance, queue utilization, worker concurrency, and integration bottlenecks. Assess infrastructure scaling limits and develop growth and capacity forecasts. Define a future state architecture enabling autonomous operations, automated incident resolution, AI-assisted remediation, event-driven automation, and self-healing platforms. Create a multi-year technology roadmap supporting integration scalability, workload isolation, and automation expansion across CTI and APSE. Evaluate and recommend AI and emerging technologies including agentic AI, AIOps, generative operations assistants, event intelligence, knowledge graphs, autonomous remediation, and predictive incident management. Required Skills & Qualifications: 3-5+ years of enterprise architecture experience with highly distributed, mission-critical systems. Strong cloud and hybrid architecture knowledge, including API-first, event-driven, and microservices patterns. Experience in incident management, SRE practices, operational observability, and reliability engineering in large-scale environments. Understanding of LLM architectures, RAG patterns, AI agents, prompt engineering, AI governance, and model evaluation. Proficiency with productivity software, including Microsoft Office. Preferred Skills: Experience training or fine-tuning AI models and building AI-powered operational workflows. Hands-on integration of AI into enterprise production environments for AIOps and autonomous remediation. Background with workflow orchestration platforms and CI/CD pipelines. Prior work in hybrid operating models within regulated or large-scale environments. Additional Details: Glider: Candidate ID Verification. Hybrid schedule requirement of a minimum of 3 days per week onsite. Hours per Day: 8. Labor Type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Lightning is a suite of services in the CrowdStrike cloud that expose sub-second, near-real-time APIs enabling Falcon Sensors to rapidly obtain threat information. Operating at massive scale, Lightning processes trillions of threat events daily within tight latency constraints - where performance and availability are critical to sensor operation and customer protection. CrowdStrike is seeking a Senior Software Developer in Test (SDET) to enter our team as a bit of a hybrid contributor wearing hats for both the design and creation of custom test tooling, frameworks and systems, as well as for contributing to sub- and main branches of the core product code. In effect, you would ostensibly be the Sr backend developer who is also designated as test SME, validating key features and functionality that spans our processing, data and customer facing application layers to ensure it's able to support low-latency prevention of malware, manage thousands of events per second, query across terabytes of data and deliver accurate information to the endpoint, ensuring it also processes the data properly. To that end, you will guide design discussions and code reviews with a focus on quality, serve as the team's SME for code hygiene, and contribute to service operations - all while continuously expanding test coverage and capabilities. Testing concerns span functional, performance, contract, and chaos/resilience engineering. Cybersecurity experience is a plus, not a prerequisite. This is a team which prizes collaboration over competition and places high-trust in contributors. You'll find you have high ownership and high schedule flexibility, as well as high trust placed in your expertise as the team's dedicated SME, in the design and implementation of custom test architecture. This role is hybrid, requiring 2-3 days per week on-site in one of the posted locations. What You'll Do: Both build stuff and break stuff! Own end-to-end validation of Lightning services across cloud-side and Falcon Sensor interactions, spanning component, integration, and application levels, while continuously improving test and validation processes Build and own Lightning-specific test tooling and frameworks, while leveraging and contributing to shared organization-wide testing tools and infrastructure Define and drive testing strategies across functional, performance, contract, and chaos testing concerns Guide technical design reviews in quality SME capacity, to provide clear guidance on testability, quality, and code hygiene Leverage new open source solutions to build new tools that test things in new ways. Own code reviews with a focus on quality, serving as the team's SME for code hygiene Contribute to service operations, including improving overall service observability and monitoring, root cause analysis of production issues, and implementing quality improvements to prevent future outages What You'll Need: 9+ years of experience (Avg. YoE: 11-16 years) as either/both an SDET or Backend Developer (combined) Experience building testing frameworks and tooling for a Cloud SaaS product or other SOA with similar cloud components Experience contributing to or defining testing strategy at a team or organizational level Strong debugging skills: ability to spot design flaws, race conditions, and performance bottlenecks in complex architectures Expertise in any of: Golang, Python, Java, Kotlin, Rust, or C/C++ - Go is our primary language, but strong engineers in any of these are welcome and we support ramp-up Experience in a cloud distributed systems stack: e.g. Kubernetes, Cassandra, Redis, Kafka, and/or similar technologies - you don't need all of these specifically, but transferable skills in each category are a must Experience with distributed systems and scalability challenges Experience with cloud services, such as AWS or GCP, particularly compute and storage offerings Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Experience with CI/CD pipelines and integrating automated testing into deployment workflows Experience developing and deploying in containerized environments (e.g., Docker, Kubernetes) Experience mentoring engineers and driving quality culture across a team or organization Bonus Points: Experience building, operating, validating, and scaling low-latency cloud services using gRPC and event-driven messaging systems such as Kafka Experience building and shipping cloud-connected endpoint software Experience with at least one cloud environment, such as AWS, GCP, or OCI Experience leveraging AI and agentic tools to enhance testing workflows and automation This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.
11/07/2026
Full time
Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Lightning is a suite of services in the CrowdStrike cloud that expose sub-second, near-real-time APIs enabling Falcon Sensors to rapidly obtain threat information. Operating at massive scale, Lightning processes trillions of threat events daily within tight latency constraints - where performance and availability are critical to sensor operation and customer protection. CrowdStrike is seeking a Senior Software Developer in Test (SDET) to enter our team as a bit of a hybrid contributor wearing hats for both the design and creation of custom test tooling, frameworks and systems, as well as for contributing to sub- and main branches of the core product code. In effect, you would ostensibly be the Sr backend developer who is also designated as test SME, validating key features and functionality that spans our processing, data and customer facing application layers to ensure it's able to support low-latency prevention of malware, manage thousands of events per second, query across terabytes of data and deliver accurate information to the endpoint, ensuring it also processes the data properly. To that end, you will guide design discussions and code reviews with a focus on quality, serve as the team's SME for code hygiene, and contribute to service operations - all while continuously expanding test coverage and capabilities. Testing concerns span functional, performance, contract, and chaos/resilience engineering. Cybersecurity experience is a plus, not a prerequisite. This is a team which prizes collaboration over competition and places high-trust in contributors. You'll find you have high ownership and high schedule flexibility, as well as high trust placed in your expertise as the team's dedicated SME, in the design and implementation of custom test architecture. This role is hybrid, requiring 2-3 days per week on-site in one of the posted locations. What You'll Do: Both build stuff and break stuff! Own end-to-end validation of Lightning services across cloud-side and Falcon Sensor interactions, spanning component, integration, and application levels, while continuously improving test and validation processes Build and own Lightning-specific test tooling and frameworks, while leveraging and contributing to shared organization-wide testing tools and infrastructure Define and drive testing strategies across functional, performance, contract, and chaos testing concerns Guide technical design reviews in quality SME capacity, to provide clear guidance on testability, quality, and code hygiene Leverage new open source solutions to build new tools that test things in new ways. Own code reviews with a focus on quality, serving as the team's SME for code hygiene Contribute to service operations, including improving overall service observability and monitoring, root cause analysis of production issues, and implementing quality improvements to prevent future outages What You'll Need: 9+ years of experience (Avg. YoE: 11-16 years) as either/both an SDET or Backend Developer (combined) Experience building testing frameworks and tooling for a Cloud SaaS product or other SOA with similar cloud components Experience contributing to or defining testing strategy at a team or organizational level Strong debugging skills: ability to spot design flaws, race conditions, and performance bottlenecks in complex architectures Expertise in any of: Golang, Python, Java, Kotlin, Rust, or C/C++ - Go is our primary language, but strong engineers in any of these are welcome and we support ramp-up Experience in a cloud distributed systems stack: e.g. Kubernetes, Cassandra, Redis, Kafka, and/or similar technologies - you don't need all of these specifically, but transferable skills in each category are a must Experience with distributed systems and scalability challenges Experience with cloud services, such as AWS or GCP, particularly compute and storage offerings Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Experience with CI/CD pipelines and integrating automated testing into deployment workflows Experience developing and deploying in containerized environments (e.g., Docker, Kubernetes) Experience mentoring engineers and driving quality culture across a team or organization Bonus Points: Experience building, operating, validating, and scaling low-latency cloud services using gRPC and event-driven messaging systems such as Kafka Experience building and shipping cloud-connected endpoint software Experience with at least one cloud environment, such as AWS, GCP, or OCI Experience leveraging AI and agentic tools to enhance testing workflows and automation This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.
Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Our Fusion product is seeking a Senior-to-Principal (Level 7) backend software Engineer to build out a platform product which provides core orchestration and workflow capabilities to all users of Crowdstrike's Flagship offering, the Falcon Platform, while also offering plug-and-play access to the building block components of the lion's share of our codebase, as well as key feature components among our partner products. Fusion - a core 'tier one' offering in our Flagship Platform, Falcon - is used by customers to automate 80% of breach remediation actions with the Falcon Platform. It also serves as a runtime engine of Foundry, a sibling product which gives the Falcon Platform users access to our whole suite of components as well as exposed APIs for a plethora of our security partners to instantly create custom-purpose 'Frankenstein' security apps by configuring selections in just a handful of dropdown menus. Fusion is among the most heavily used products in Crowdstrike's Falcon product suite. Presently, we're integrating Fusion with agentic workflow development to push our Next gen SIEM functionality into the agentic AI-integrated future. This role is for an experienced backend microservices developer adept with cloud engineering principles, user-facing feature design and development ('or' Fine Grained Auth Expertise), and experience with plenty of custom API development as well as high-scale events processing on a msg queue like Kafka. Your passion and meticulous attention to performance, reliability and scalability will be key ingredients to your success here at CrowdStrike. Be advised, this role is a hybrid work setup involving 2-3 days in-office at our Sunnyvale, CA location. What You'll Do: Build highly fault tolerant Golang microservices to add features and functionality to our Fusion product and its supporting ecosystem Support ultra-high volume Kafka event pipelines managing our customer workflows Work with industry-leading technologies like Apache Kafka, Cassandra, Elasticsearch, Redis and more Work on cross-team platform-level initiatives and projects Troubleshoot critical production issues and implement solutions What You'll Need: Experienced building streaming platforms at scale (Note: We process over a trillion events per day) At least 7 years (avg. YoE is 10-16 Yrs) of overall applicable experience in a technical role 5+ years of recent experience building an event-driven, microservices-oriented architecture Expert knowledge of any of the following backend languages: Go, Scala, Java, Node.js or Python Proven expertise in building distributed systems, micro services, REST APIs Production experience with commercial clouds (AWS, Azure, GCP) BS/MS degree in Computer Science or related field or equivalent work experience Experience using both SQL and No-SQL databases Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Knowledge of Knative or similar open source serverless infra-building framework(s) Contributed to the open source community (GitHub, Stack Overflow, blogging) Master's degree in computer science or related field Golang experience Prior experience with cybersecurity Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at . Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.
11/07/2026
Full time
Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Our Fusion product is seeking a Senior-to-Principal (Level 7) backend software Engineer to build out a platform product which provides core orchestration and workflow capabilities to all users of Crowdstrike's Flagship offering, the Falcon Platform, while also offering plug-and-play access to the building block components of the lion's share of our codebase, as well as key feature components among our partner products. Fusion - a core 'tier one' offering in our Flagship Platform, Falcon - is used by customers to automate 80% of breach remediation actions with the Falcon Platform. It also serves as a runtime engine of Foundry, a sibling product which gives the Falcon Platform users access to our whole suite of components as well as exposed APIs for a plethora of our security partners to instantly create custom-purpose 'Frankenstein' security apps by configuring selections in just a handful of dropdown menus. Fusion is among the most heavily used products in Crowdstrike's Falcon product suite. Presently, we're integrating Fusion with agentic workflow development to push our Next gen SIEM functionality into the agentic AI-integrated future. This role is for an experienced backend microservices developer adept with cloud engineering principles, user-facing feature design and development ('or' Fine Grained Auth Expertise), and experience with plenty of custom API development as well as high-scale events processing on a msg queue like Kafka. Your passion and meticulous attention to performance, reliability and scalability will be key ingredients to your success here at CrowdStrike. Be advised, this role is a hybrid work setup involving 2-3 days in-office at our Sunnyvale, CA location. What You'll Do: Build highly fault tolerant Golang microservices to add features and functionality to our Fusion product and its supporting ecosystem Support ultra-high volume Kafka event pipelines managing our customer workflows Work with industry-leading technologies like Apache Kafka, Cassandra, Elasticsearch, Redis and more Work on cross-team platform-level initiatives and projects Troubleshoot critical production issues and implement solutions What You'll Need: Experienced building streaming platforms at scale (Note: We process over a trillion events per day) At least 7 years (avg. YoE is 10-16 Yrs) of overall applicable experience in a technical role 5+ years of recent experience building an event-driven, microservices-oriented architecture Expert knowledge of any of the following backend languages: Go, Scala, Java, Node.js or Python Proven expertise in building distributed systems, micro services, REST APIs Production experience with commercial clouds (AWS, Azure, GCP) BS/MS degree in Computer Science or related field or equivalent work experience Experience using both SQL and No-SQL databases Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Knowledge of Knative or similar open source serverless infra-building framework(s) Contributed to the open source community (GitHub, Stack Overflow, blogging) Master's degree in computer science or related field Golang experience Prior experience with cybersecurity Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at . Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $220,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description The Senior Director, Applied AI Solutions, leads the applied AI function within the AI Research Center (ARC), part of Gilead's Clinical Data Science (CDS) organization in Drug Development. As CDS's center of excellence for applied AI, this leader is accountable for the technical and product path from a prioritized AI use case defined by CDS functional organizations to a trusted, reusable capability in production - spanning discovery, experimentation, technical validation, first production release, adoption support, and measured value. The ownership model is deliberate. Business ownership of priorities, requirements, funding, process change, and workflow outcomes remains with the CDS and Development functions, including Clinical Data Engineering & Analytics (CDEA) and Statistical Programming. Enterprise platform services, infrastructure, and scaled production operations and support remain with Enterprise IT and Development Systems. This role supplies the AI expertise, solution engineering, and delivery capacity that make both possible, and is measured on how effectively it accelerates outcomes owned by others. The role combines technical depth, product-minded execution, and people leadership. You will define ARC's applied AI engineering practices - model and prompt lifecycle, evaluation, agent design patterns, solution architecture - and influence the enterprise engineering and architecture standards owned by IT, while remaining close enough to the work to make consequential design decisions and to lead multidisciplinary teams building AI systems for internal CDS and Development users. Priority domains for AI enablement may include clinical data review and insights, study design and operations, biomarker and real-world data workflows, safety and risk detection, regulatory evidence generation, and scientific knowledge access. In each of these domains the owning CDS or Development function leads its own workflow and process transformation agenda; this role provides the AI solutions, methods, and technical expertise that enable it. Applied AI Solutions favors reusable capabilities over isolated proofs of concept. The team builds on Gilead's approved data, cloud, security, privacy, and responsible-AI foundations and on the enterprise platform services provided by IT, and partners closely with ARC's Product Management & Experiences (PMx) and AI Acceleration (AIx) functional (scientific and operational) teams, as well as with Development Systems, Enterprise IT, Information Security, Privacy, Legal, Quality, CDEA, Statistical Programming, and business stakeholders. The mandate: turn high-value Clinical Data Science and Development AI problems - as prioritized by their business owners - into trusted, reusable, production-grade AI capabilities that improve how Gilead designs, conducts, analyzes, and learns from clinical development. Key Responsibilities As the Senior Director of Applied AI Solutions, you will: Applied AI engineering roadmap. In partnership with CDS and Development business owners, Enterprise IT, and ARC leadership, translate prioritized AI demand into a multi-year applied AI engineering and delivery plan tied to CDS and Development outcomes. Business owners decide what to pursue and why; you bring the AI expertise that informs those decisions - feasibility, solution options, effort, data readiness, reuse potential, and technical risk - recommend sequencing, and supply the evidence that allows owners and governance forums to decide whether to scale, redesign, or stop an initiative. Anchor on the core, high-value Development AI priorities while also enabling CDS priorities beyond DevAI and IT-funded use cases; for those outside the enterprise-funded portfolio, CDS functional leaders hold business ownership of the roadmap and requirements, and this role builds agents and solutions directly or guides partners to evaluate, select, and integrate the right third-party capabilities. AI solution design and delivery (0 1). Own the design, build, evaluation, and technical validation of AI services, applications, agents, and shared components through first production release. Co-design with Enterprise IT and Development Systems from the outset so that solutions are built for scale, then hand over to IT-owned platform and operations for enterprise scaling and sustained run, remaining the accountable AI technical partner after transition. Establish reference solutions and workflow designs for model gateways, retrieval-augmented generation (RAG), semantic search, knowledge graphs, multimodal AI, tool use, workflow orchestration, human review, and integration with validated enterprise systems. Agentic systems and interoperability. Guide the responsible use of agentic patterns for bounded, auditable CDS workflows. In partnership with Enterprise IT, Information Security, and Privacy, use open interoperability protocols such as MCP and A2A where appropriate to connect AI applications and agents to governed data, tools, and workflows, and ensure authorization, least-privilege access, provenance, action controls, and human escalation are designed in from the start and that agents are registered in the enterprise agent registry. AI engineering excellence. Define and uphold ARC's applied AI engineering practices - data contracts, model and prompt lifecycle management, evaluation harnesses, LLMOps/MLOps, automated testing, and reproducible releases - while adopting and contributing to the enterprise standards owned by IT for software engineering, infrastructure as code, CI/CD, and security. Build for reliability, latency, cost, maintainability, portability, and graceful failure, not demonstrations alone. Evaluation, observability, and responsible AI. Make evaluation a first-class engineering discipline. Establish offline and online evals, gold-standard datasets, task and outcome metrics, trace-based observability, model and data monitoring, adversarial testing, and incident response. Partner with Responsible AI enterprise teams and control functions to implement risk-tiered governance, privacy, security, records, auditability, explainability, and GxP or regulatory controls when applicable. Adoption and value realization. Co-own product discovery and experience design with PMx and support adoption alongside CDS workflow owners. Operate as an expert partner, not a gatekeeper - augmenting their workflows while they retain ownership of priorities, requirements, process change, and outcomes. Working from baselines the business defines, instrument and report the scientific, operational, quality, and user outcomes AI solutions deliver: cycle-time reduction, improved signal detection, decision quality, reuse, reliability, and sustained utilization. Team and technical leadership. Build, lead, and develop a high-performing team spanning applied AI, machine learning, and software and data engineering. Set a high technical bar through technical design reviews, design critiques, coaching, and selective hands-on prototyping. Create clear career paths, succession plans, and an inclusive culture of scientific rigor, learning, accountability, and responsible experimentation. Ecosystem stewardship. Contribute the AI assessment that informs build, buy, and partner decisions taken jointly with business owners and IT; manage strategic AI vendors within that framework; and assess emerging models, frameworks, and protocols through evidence-based benchmarks. Represent Gilead in selected external collaborations while protecting confidential data, intellectual property, and freedom to operate. WHAT SUCCESS LOOKS LIKE A focused CDS and Development AI portfolio with transparent priorities set by business owners, accountable delivery owners, measurable outcomes, and fewer disconnected pilots. Reusable AI capabilities built on the enterprise platform, and integration patterns co-designed with IT that shorten the path from a validated use case to a supported production service. Several high-value CDS and Development workflows operating in production - delivered with ARC and transitioned cleanly to IT-supported operations - with appropriate human oversight, documented controls, reliable performance, and sustained user adoption. . click apply for full job details
11/07/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description The Senior Director, Applied AI Solutions, leads the applied AI function within the AI Research Center (ARC), part of Gilead's Clinical Data Science (CDS) organization in Drug Development. As CDS's center of excellence for applied AI, this leader is accountable for the technical and product path from a prioritized AI use case defined by CDS functional organizations to a trusted, reusable capability in production - spanning discovery, experimentation, technical validation, first production release, adoption support, and measured value. The ownership model is deliberate. Business ownership of priorities, requirements, funding, process change, and workflow outcomes remains with the CDS and Development functions, including Clinical Data Engineering & Analytics (CDEA) and Statistical Programming. Enterprise platform services, infrastructure, and scaled production operations and support remain with Enterprise IT and Development Systems. This role supplies the AI expertise, solution engineering, and delivery capacity that make both possible, and is measured on how effectively it accelerates outcomes owned by others. The role combines technical depth, product-minded execution, and people leadership. You will define ARC's applied AI engineering practices - model and prompt lifecycle, evaluation, agent design patterns, solution architecture - and influence the enterprise engineering and architecture standards owned by IT, while remaining close enough to the work to make consequential design decisions and to lead multidisciplinary teams building AI systems for internal CDS and Development users. Priority domains for AI enablement may include clinical data review and insights, study design and operations, biomarker and real-world data workflows, safety and risk detection, regulatory evidence generation, and scientific knowledge access. In each of these domains the owning CDS or Development function leads its own workflow and process transformation agenda; this role provides the AI solutions, methods, and technical expertise that enable it. Applied AI Solutions favors reusable capabilities over isolated proofs of concept. The team builds on Gilead's approved data, cloud, security, privacy, and responsible-AI foundations and on the enterprise platform services provided by IT, and partners closely with ARC's Product Management & Experiences (PMx) and AI Acceleration (AIx) functional (scientific and operational) teams, as well as with Development Systems, Enterprise IT, Information Security, Privacy, Legal, Quality, CDEA, Statistical Programming, and business stakeholders. The mandate: turn high-value Clinical Data Science and Development AI problems - as prioritized by their business owners - into trusted, reusable, production-grade AI capabilities that improve how Gilead designs, conducts, analyzes, and learns from clinical development. Key Responsibilities As the Senior Director of Applied AI Solutions, you will: Applied AI engineering roadmap. In partnership with CDS and Development business owners, Enterprise IT, and ARC leadership, translate prioritized AI demand into a multi-year applied AI engineering and delivery plan tied to CDS and Development outcomes. Business owners decide what to pursue and why; you bring the AI expertise that informs those decisions - feasibility, solution options, effort, data readiness, reuse potential, and technical risk - recommend sequencing, and supply the evidence that allows owners and governance forums to decide whether to scale, redesign, or stop an initiative. Anchor on the core, high-value Development AI priorities while also enabling CDS priorities beyond DevAI and IT-funded use cases; for those outside the enterprise-funded portfolio, CDS functional leaders hold business ownership of the roadmap and requirements, and this role builds agents and solutions directly or guides partners to evaluate, select, and integrate the right third-party capabilities. AI solution design and delivery (0 1). Own the design, build, evaluation, and technical validation of AI services, applications, agents, and shared components through first production release. Co-design with Enterprise IT and Development Systems from the outset so that solutions are built for scale, then hand over to IT-owned platform and operations for enterprise scaling and sustained run, remaining the accountable AI technical partner after transition. Establish reference solutions and workflow designs for model gateways, retrieval-augmented generation (RAG), semantic search, knowledge graphs, multimodal AI, tool use, workflow orchestration, human review, and integration with validated enterprise systems. Agentic systems and interoperability. Guide the responsible use of agentic patterns for bounded, auditable CDS workflows. In partnership with Enterprise IT, Information Security, and Privacy, use open interoperability protocols such as MCP and A2A where appropriate to connect AI applications and agents to governed data, tools, and workflows, and ensure authorization, least-privilege access, provenance, action controls, and human escalation are designed in from the start and that agents are registered in the enterprise agent registry. AI engineering excellence. Define and uphold ARC's applied AI engineering practices - data contracts, model and prompt lifecycle management, evaluation harnesses, LLMOps/MLOps, automated testing, and reproducible releases - while adopting and contributing to the enterprise standards owned by IT for software engineering, infrastructure as code, CI/CD, and security. Build for reliability, latency, cost, maintainability, portability, and graceful failure, not demonstrations alone. Evaluation, observability, and responsible AI. Make evaluation a first-class engineering discipline. Establish offline and online evals, gold-standard datasets, task and outcome metrics, trace-based observability, model and data monitoring, adversarial testing, and incident response. Partner with Responsible AI enterprise teams and control functions to implement risk-tiered governance, privacy, security, records, auditability, explainability, and GxP or regulatory controls when applicable. Adoption and value realization. Co-own product discovery and experience design with PMx and support adoption alongside CDS workflow owners. Operate as an expert partner, not a gatekeeper - augmenting their workflows while they retain ownership of priorities, requirements, process change, and outcomes. Working from baselines the business defines, instrument and report the scientific, operational, quality, and user outcomes AI solutions deliver: cycle-time reduction, improved signal detection, decision quality, reuse, reliability, and sustained utilization. Team and technical leadership. Build, lead, and develop a high-performing team spanning applied AI, machine learning, and software and data engineering. Set a high technical bar through technical design reviews, design critiques, coaching, and selective hands-on prototyping. Create clear career paths, succession plans, and an inclusive culture of scientific rigor, learning, accountability, and responsible experimentation. Ecosystem stewardship. Contribute the AI assessment that informs build, buy, and partner decisions taken jointly with business owners and IT; manage strategic AI vendors within that framework; and assess emerging models, frameworks, and protocols through evidence-based benchmarks. Represent Gilead in selected external collaborations while protecting confidential data, intellectual property, and freedom to operate. WHAT SUCCESS LOOKS LIKE A focused CDS and Development AI portfolio with transparent priorities set by business owners, accountable delivery owners, measurable outcomes, and fewer disconnected pilots. Reusable AI capabilities built on the enterprise platform, and integration patterns co-designed with IT that shorten the path from a validated use case to a supported production service. Several high-value CDS and Development workflows operating in production - delivered with ARC and transitioned cleanly to IT-supported operations - with appropriate human oversight, documented controls, reliable performance, and sustained user adoption. . click apply for full job details
This job is with S&P Global, 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 the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/07/2026
Full time
This job is with S&P Global, 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 the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
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: The Principal AI Platform Infrastructure Architect owns the enterprise architecture strategy for the firm's agentic infrastructure domain, including agent orchestration, identity, gateway and policy services, and model-hosting and agent-runtime environments. This individual-contributor role sets the technical direction for architects and engineers while remaining hands-on in prototyping and validating patterns before enterprise adoption. Responsibilities of the Role: Define and maintain the enterprise architecture roadmap, and publish reference architectures and blueprints for agent orchestration, identity, gateway and policy services, and model-hosting and agent-runtime environments. Lead agentic infrastructure decisions across programs, products, and platforms, advising senior technology and business leaders and resolving escalations involving enterprise risk, cost, or cross-domain tradeoffs. Establish architecture standards and review criteria for the security, resilience, observability, performance, and cost management of agentic infrastructure, aligned with enterprise technology, risk, and financial objectives. Lead the architecture of complex, multi-domain agentic initiatives, documenting technical decisions, dependencies, tradeoffs, and their effects on business, risk, and cost outcomes. Build working prototypes and reference implementations to validate emerging agentic infrastructure patterns, document their constraints, and establish the criteria delivery teams must meet for production use. Define operational readiness and lifecycle requirements for shared agentic infrastructure patterns, including support ownership, resilience, observability, versioning, compatibility, and deprecation. Guide platform, security, and infrastructure engineering teams in adopting shared agentic infrastructure patterns and modules that reduce duplicated engineering and accelerate delivery. Mentor architects and infrastructure engineers through architecture reviews, technical guidance, and reusable examples appropriate to their delivery context. Evaluate emerging agentic AI and generative AI infrastructure technologies, and publish recommendations based on technical validation, security and operational risk, cost, integration complexity, and long-term maintainability. Requirements of the Role: Experience owning architecture decisions for complex infrastructure initiatives spanning multiple technical domains, delivery teams, or business areas at enterprise or portfolio scale. Hands-on experience designing or validating infrastructure for agentic artificial intelligence platforms, with depth in several of the following areas: agent orchestration, workload identity, gateways, policy enforcement, model hosting, or agent-runtime environments. Broad infrastructure architecture experience with technical depth in one or more domains such as cloud platforms, security and identity, networking, compute, or platform engineering. Experience building prototypes or reference implementations and translating validated findings into reference architectures, reusable patterns, and production-readiness criteria. Ability to apply continuous integration and continuous delivery, infrastructure as code, configuration management, automated testing, and observability practices to infrastructure architecture and reference implementations. Ability to explain architecture decisions, alternatives, dependencies, and tradeoffs to engineering teams, architects, senior leaders, and executives; align stakeholders across organizational boundaries; and mentor senior technical practitioners. Bachelor's degree in a relevant discipline 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.
11/07/2026
Full time
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: The Principal AI Platform Infrastructure Architect owns the enterprise architecture strategy for the firm's agentic infrastructure domain, including agent orchestration, identity, gateway and policy services, and model-hosting and agent-runtime environments. This individual-contributor role sets the technical direction for architects and engineers while remaining hands-on in prototyping and validating patterns before enterprise adoption. Responsibilities of the Role: Define and maintain the enterprise architecture roadmap, and publish reference architectures and blueprints for agent orchestration, identity, gateway and policy services, and model-hosting and agent-runtime environments. Lead agentic infrastructure decisions across programs, products, and platforms, advising senior technology and business leaders and resolving escalations involving enterprise risk, cost, or cross-domain tradeoffs. Establish architecture standards and review criteria for the security, resilience, observability, performance, and cost management of agentic infrastructure, aligned with enterprise technology, risk, and financial objectives. Lead the architecture of complex, multi-domain agentic initiatives, documenting technical decisions, dependencies, tradeoffs, and their effects on business, risk, and cost outcomes. Build working prototypes and reference implementations to validate emerging agentic infrastructure patterns, document their constraints, and establish the criteria delivery teams must meet for production use. Define operational readiness and lifecycle requirements for shared agentic infrastructure patterns, including support ownership, resilience, observability, versioning, compatibility, and deprecation. Guide platform, security, and infrastructure engineering teams in adopting shared agentic infrastructure patterns and modules that reduce duplicated engineering and accelerate delivery. Mentor architects and infrastructure engineers through architecture reviews, technical guidance, and reusable examples appropriate to their delivery context. Evaluate emerging agentic AI and generative AI infrastructure technologies, and publish recommendations based on technical validation, security and operational risk, cost, integration complexity, and long-term maintainability. Requirements of the Role: Experience owning architecture decisions for complex infrastructure initiatives spanning multiple technical domains, delivery teams, or business areas at enterprise or portfolio scale. Hands-on experience designing or validating infrastructure for agentic artificial intelligence platforms, with depth in several of the following areas: agent orchestration, workload identity, gateways, policy enforcement, model hosting, or agent-runtime environments. Broad infrastructure architecture experience with technical depth in one or more domains such as cloud platforms, security and identity, networking, compute, or platform engineering. Experience building prototypes or reference implementations and translating validated findings into reference architectures, reusable patterns, and production-readiness criteria. Ability to apply continuous integration and continuous delivery, infrastructure as code, configuration management, automated testing, and observability practices to infrastructure architecture and reference implementations. Ability to explain architecture decisions, alternatives, dependencies, and tradeoffs to engineering teams, architects, senior leaders, and executives; align stakeholders across organizational boundaries; and mentor senior technical practitioners. Bachelor's degree in a relevant discipline 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.
This job is with S&P Global, 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 the Role: Grade Level (for internal use): 16 The Role: Global Head of Cloud & Infrastructure Responsibilities and Impact: Lead S&P Global's Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across all global business divisions Architect and operate S&P Global's hybrid, multi-cloud estate across Google Cloud, AWS, and Azure with 24 7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics Engineer resilient global networks spanning cloud interconnect, data centers, campus and branch locations, modernizing WAN edge to SASE/SSE while embedding zero trust architecture for market-data and trading workloads Industrialize foundational GenAI capabilities enterprise-wide, building scalable AI-ready data platform foundations while strengthening trust, safety, and observability for agentic AI at scale Drive enterprise modernization through risk-based vulnerability management, secure software supply chain practices, and cyber-resilience partnerships with the CISO organization Deliver enterprise-wide commitments for cost, quality, performance, and availability through disciplined portfolio management while aligning architecture with M&A execution to accelerate integration and business value S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Include for roles that are bonus plan eligible, including sales commission plans. What We're Looking For: Basic Required Qualifications: 15+ years of technology leadership experience with minimum 5 years leading global cloud and infrastructure organizations of comparable scale and complexity Proven track record delivering enterprise cloud transformation and platform modernization at scale across hybrid, multi-cloud environments including orchestration platforms (such as Kubernetes, Docker Swarm, or OpenShift) and infrastructure as code tools (such as Terraform, Pulumi, or CloudFormation) Demonstrated experience leading global enterprise network organizations across cloud, data center, campus, and edge environments, including SASE/SSE modernization and zero-trust network access implementation Deep operating experience in highly regulated industries such as financial services, capital markets, ratings, or data analytics with regulatory compliance expertise Executive-level fluency working with regulators, external auditors, and enterprise risk functions with accountability for large-scale technology budgets and vendor portfolio management Bachelor's degree from accredited institution; advanced degree (MS, MBA, or equivalent) strongly preferred Additional Preferred Qualifications: Experience integrating technology capabilities post-M&A to accelerate value realization and optimize technology investments across diverse organizational structures Hands-on familiarity with platform engineering, CI/CD platforms (such as Jenkins, GitLab CI, or Azure DevOps), and observability solutions (like Prometheus, Grafana, or DataDog) at enterprise scale Exposure to regulated data infrastructure requirements including SEC, ESMA, FCA, and DORA compliance frameworks with demonstrated ability to navigate complex regulatory environments Public speaking experience, board-level presentation skills, and established industry thought-leadership presence with prior collaboration experience working with hyperscaler executive teams (Google, AWS, Microsoft) on strategic partnerships What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - IFTECH102 - Senior Management (EEO Job Group)
11/07/2026
Full time
This job is with S&P Global, 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 the Role: Grade Level (for internal use): 16 The Role: Global Head of Cloud & Infrastructure Responsibilities and Impact: Lead S&P Global's Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across all global business divisions Architect and operate S&P Global's hybrid, multi-cloud estate across Google Cloud, AWS, and Azure with 24 7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics Engineer resilient global networks spanning cloud interconnect, data centers, campus and branch locations, modernizing WAN edge to SASE/SSE while embedding zero trust architecture for market-data and trading workloads Industrialize foundational GenAI capabilities enterprise-wide, building scalable AI-ready data platform foundations while strengthening trust, safety, and observability for agentic AI at scale Drive enterprise modernization through risk-based vulnerability management, secure software supply chain practices, and cyber-resilience partnerships with the CISO organization Deliver enterprise-wide commitments for cost, quality, performance, and availability through disciplined portfolio management while aligning architecture with M&A execution to accelerate integration and business value S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Include for roles that are bonus plan eligible, including sales commission plans. What We're Looking For: Basic Required Qualifications: 15+ years of technology leadership experience with minimum 5 years leading global cloud and infrastructure organizations of comparable scale and complexity Proven track record delivering enterprise cloud transformation and platform modernization at scale across hybrid, multi-cloud environments including orchestration platforms (such as Kubernetes, Docker Swarm, or OpenShift) and infrastructure as code tools (such as Terraform, Pulumi, or CloudFormation) Demonstrated experience leading global enterprise network organizations across cloud, data center, campus, and edge environments, including SASE/SSE modernization and zero-trust network access implementation Deep operating experience in highly regulated industries such as financial services, capital markets, ratings, or data analytics with regulatory compliance expertise Executive-level fluency working with regulators, external auditors, and enterprise risk functions with accountability for large-scale technology budgets and vendor portfolio management Bachelor's degree from accredited institution; advanced degree (MS, MBA, or equivalent) strongly preferred Additional Preferred Qualifications: Experience integrating technology capabilities post-M&A to accelerate value realization and optimize technology investments across diverse organizational structures Hands-on familiarity with platform engineering, CI/CD platforms (such as Jenkins, GitLab CI, or Azure DevOps), and observability solutions (like Prometheus, Grafana, or DataDog) at enterprise scale Exposure to regulated data infrastructure requirements including SEC, ESMA, FCA, and DORA compliance frameworks with demonstrated ability to navigate complex regulatory environments Public speaking experience, board-level presentation skills, and established industry thought-leadership presence with prior collaboration experience working with hyperscaler executive teams (Google, AWS, Microsoft) on strategic partnerships What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - IFTECH102 - Senior Management (EEO Job Group)
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/07/2026
Full time
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/07/2026
Full time
Job Description Job Description Lead our most strategic enterprise agentic AI engagements, and set the standard for how Intelligence Center X is brought to customers. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward-deployed with the customer - on relevant data, against their problem - and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward. Our lighthouse customers for ICX also help guide our development priorities across industry verticals and use cases. Key Responsibilities The role ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements - modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens. This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You: Lead the most complex engagements - first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio. Set the standard - for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from. Help shape the ICX roadmap - align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases. Engage executives and strategic partners - build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers. You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D. An example engagement A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements. Requirements Who you are You are an experienced architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build. You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot. You build for reuse. Your patterns outlive your engagements, and others build on them. You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined - with some of the largest companies in the world. Skills and experience We look for experience in the following areas. Technical leadership on strategic enterprise accounts - leading complex, first-of-a-kind solutions with executive buyers. Senior technical consulting - leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator. Solution architecture - end-to-end design across enterprise ontology, agentic applications and machine learning. Ecosystem positioning - showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture. Data engineering and analytics - making sense of how a company's data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms - experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI - designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP. Agentic development tools - Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well. Enterprise ontology - modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise. Machine learning and data science - building models that solve real business problems, such as forecasting, anomaly detection or classification. Industrial software - product lifecycle management, manufacturing operations or industrial IoT. Industry depth - manufacturing, engineering, supply chain, pharma, aerospace or financial services. Travel Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it. Why Join Us Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform. Shape the global practice. The standards you set become how ICX is built and positioned in every zone. The problem every enterprise is working on. Agentic AI grounded in a company's own data and context. Direct influence on the product. You lead the engagements that help shape the ICX roadmap. Compensation and Benefits The pay range for this position is $197,300-$394,600 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description The Senior Manager, Enterprise AI and Analytics Leader is responsible for defining and executing the enterprise strategy for artificial intelligence, data, analytics and governance. This leader will transform data into a strategic enterprise asset, enabling business growth, operational excellence, innovation, and competitive advantage. The role serves as the leader of the Enterprise AI Center of Excellence (CoE) and is accountable for establishing enterprise-wide capabilities, governance, platforms, standards, and adoption strategies that enable responsible, scalable, and value-driven use of AI, Analytics and data. Working closely with business leaders, technology teams, and executive leadership, this position drives the organization's data and AI agenda by aligning investments to business priorities, accelerating digital transformation, and delivering measurable business outcomes. Key Responsibilities Enterprise Data & AI Strategy Define and Execute the enterprise AI & analytics, data strategy aligned with corporate objectives. Develop a multi-year roadmap that advances business intelligence, predictive analytics, machine learning, generative AI, and data-driven decision making. Identify opportunities to leverage data and AI to improve customer experience, operational efficiency, revenue growth, and innovation. Advise executive leadership on emerging trends, risks, and opportunities related to data and artificial intelligence. Establish success metrics and value realization frameworks for all major initiatives. Artificial Intelligence & AI Center of Excellence Lead the Enterprise AI Center of Excellence. Develop and execute the enterprise AI roadmap and use-case portfolio. Establish AI governance, operating models, and responsible AI principles. Identify and prioritize high-value AI opportunities across all business functions. Oversee deployment and scaling of generative AI, machine learning, intelligent automation, and advanced analytics solutions. Establish standards for AI development, model management, prompt engineering, and AI lifecycle management. Ensure AI initiatives deliver measurable business value and align with strategic priorities. Partner with Data Governance & Management to Establish enterprise data governance policies, standards, and accountability models. Lead master data management, data quality, metadata management, and data stewardship programs. Ensure data is managed as a strategic enterprise asset. Develop enterprise data architecture and information management standards. Partner with business leaders to improve data ownership, accountability, and trust. Analytics & Business Intelligence Lead enterprise reporting, analytics, and business intelligence capabilities. Drive adoption of self-service analytics and data-driven decision making. Establish standards for reporting, dashboards, KPIs, and performance management. Ensure business leaders have timely access to trusted and actionable information. Advance predictive and prescriptive analytics capabilities across the enterprise. AI Governance, Risk & Responsible AI Establish enterprise AI governance frameworks and oversight processes. Ensure compliance with legal, regulatory, privacy, cybersecurity, and ethical requirements. Chair the AI Governance Council and provide executive-level reporting on AI risks and performance. Develop policies for responsible AI usage, model monitoring, explainability, and risk management. Partner with Legal, HR, Risk, Compliance, and Security teams to ensure effective governance. Business Partnership & Value Realization Act as a strategic advisor to business leaders on data and AI opportunities. Facilitate business prioritization of data and AI investments. Build strong partnerships across Manufacturing, Supply Chain, Commercial, Service, Finance, HR, and Corporate Functions. Lead value realization reviews and ensure business outcomes are achieved. Promote a culture of data literacy and AI-enabled innovation. Data & AI Platform Leadership Define standards supporting data, analytics, and AI. Partner with Enterprise Architecture and Infrastructure teams to establish scalable and secure platforms. Drive cloud-based data and AI platform modernization. Ensure integration of AI capabilities into core business applications and business processes. Manage vendor relationships and strategic technology partnerships. Organizational Leadership Build and lead a high-performing team of data, analytics, and AI professionals. Develop enterprise data literacy and AI literacy programs. Foster a culture of innovation, collaboration, accountability, and continuous improvement. Success Measures Business Impact Revenue growth enabled through data and AI Productivity and efficiency improvements Cost reduction initiatives Business process optimization AI Adoption Number of AI solutions deployed AI utilization and adoption rates Realized business value from AI investments Employee AI literacy and engagement Governance & Risk Compliance with data and AI policies Reduction of data and AI-related risk Audit and regulatory outcomes Organizational Effectiveness Team capability development Stakeholder satisfaction Delivery performance Strategic initiative execution Experience 15+ years of experience in IT, software engineering, data platforms, or enterprise architecture. 5+ years leading enterprise AI, Machine Learning, or Data Science initiatives. Experience dealing with Analytics platforms like SAP and Non SAP solutions Experience delivering large-scale cloud and AI transformation programs. Proven success influencing executive stakeholders and driving cross-functional initiatives. Technical Expertise Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG) AI frameworks such as Semantic Kernel, LangChain, CrewAI, AutoGen Azure AI Foundry, Azure OpenAI, Azure Machine Learning Cloud platforms (Azure preferred; AWS/GCP a plus) MLOps, LLMOps, CI/CD, DevSecOps Data platforms including Databricks, Fabric and modern data architectures API, microservices, containerization, and Kubernetes Experience in SAP Joule Experience with Analytic platforms like SAP Business Data Cloud, BW, Databricks, Fabric Preferred Qualifications Experience in Manufacturing Industries. Experience implementing Responsible AI frameworks. Demonstrated thought leadership in AI strategy and enterprise transformation. Demonstrated experience in leading and dealing with analytics strategy and execution Total Compensation = Pay range + Benefits Posted salary ranges are made in good faith. Tennant Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity. The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits. Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, 8 paid company holidays and 3 personal holidays dental and vision coverage, wellness rewards, robust family support programs, company paid disability and life insurance, and a full Employee Assistance Program. Defining Our Employee Value Proposition At Tennant Company, we Discover fulfilling work with opportunities for growth and meaningful recognition. Drive the quality and innovation our customers rely on in our products and services. Connect with people who care about each other, our brands and our communities. These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future. Together, they serve as guideposts for working with our customers, our partners and one another. Begin your journey with us. Let's reinvent how the world cleans. Equal Opportunity Employer Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.
11/07/2026
Full time
Job Description Job Description The Senior Manager, Enterprise AI and Analytics Leader is responsible for defining and executing the enterprise strategy for artificial intelligence, data, analytics and governance. This leader will transform data into a strategic enterprise asset, enabling business growth, operational excellence, innovation, and competitive advantage. The role serves as the leader of the Enterprise AI Center of Excellence (CoE) and is accountable for establishing enterprise-wide capabilities, governance, platforms, standards, and adoption strategies that enable responsible, scalable, and value-driven use of AI, Analytics and data. Working closely with business leaders, technology teams, and executive leadership, this position drives the organization's data and AI agenda by aligning investments to business priorities, accelerating digital transformation, and delivering measurable business outcomes. Key Responsibilities Enterprise Data & AI Strategy Define and Execute the enterprise AI & analytics, data strategy aligned with corporate objectives. Develop a multi-year roadmap that advances business intelligence, predictive analytics, machine learning, generative AI, and data-driven decision making. Identify opportunities to leverage data and AI to improve customer experience, operational efficiency, revenue growth, and innovation. Advise executive leadership on emerging trends, risks, and opportunities related to data and artificial intelligence. Establish success metrics and value realization frameworks for all major initiatives. Artificial Intelligence & AI Center of Excellence Lead the Enterprise AI Center of Excellence. Develop and execute the enterprise AI roadmap and use-case portfolio. Establish AI governance, operating models, and responsible AI principles. Identify and prioritize high-value AI opportunities across all business functions. Oversee deployment and scaling of generative AI, machine learning, intelligent automation, and advanced analytics solutions. Establish standards for AI development, model management, prompt engineering, and AI lifecycle management. Ensure AI initiatives deliver measurable business value and align with strategic priorities. Partner with Data Governance & Management to Establish enterprise data governance policies, standards, and accountability models. Lead master data management, data quality, metadata management, and data stewardship programs. Ensure data is managed as a strategic enterprise asset. Develop enterprise data architecture and information management standards. Partner with business leaders to improve data ownership, accountability, and trust. Analytics & Business Intelligence Lead enterprise reporting, analytics, and business intelligence capabilities. Drive adoption of self-service analytics and data-driven decision making. Establish standards for reporting, dashboards, KPIs, and performance management. Ensure business leaders have timely access to trusted and actionable information. Advance predictive and prescriptive analytics capabilities across the enterprise. AI Governance, Risk & Responsible AI Establish enterprise AI governance frameworks and oversight processes. Ensure compliance with legal, regulatory, privacy, cybersecurity, and ethical requirements. Chair the AI Governance Council and provide executive-level reporting on AI risks and performance. Develop policies for responsible AI usage, model monitoring, explainability, and risk management. Partner with Legal, HR, Risk, Compliance, and Security teams to ensure effective governance. Business Partnership & Value Realization Act as a strategic advisor to business leaders on data and AI opportunities. Facilitate business prioritization of data and AI investments. Build strong partnerships across Manufacturing, Supply Chain, Commercial, Service, Finance, HR, and Corporate Functions. Lead value realization reviews and ensure business outcomes are achieved. Promote a culture of data literacy and AI-enabled innovation. Data & AI Platform Leadership Define standards supporting data, analytics, and AI. Partner with Enterprise Architecture and Infrastructure teams to establish scalable and secure platforms. Drive cloud-based data and AI platform modernization. Ensure integration of AI capabilities into core business applications and business processes. Manage vendor relationships and strategic technology partnerships. Organizational Leadership Build and lead a high-performing team of data, analytics, and AI professionals. Develop enterprise data literacy and AI literacy programs. Foster a culture of innovation, collaboration, accountability, and continuous improvement. Success Measures Business Impact Revenue growth enabled through data and AI Productivity and efficiency improvements Cost reduction initiatives Business process optimization AI Adoption Number of AI solutions deployed AI utilization and adoption rates Realized business value from AI investments Employee AI literacy and engagement Governance & Risk Compliance with data and AI policies Reduction of data and AI-related risk Audit and regulatory outcomes Organizational Effectiveness Team capability development Stakeholder satisfaction Delivery performance Strategic initiative execution Experience 15+ years of experience in IT, software engineering, data platforms, or enterprise architecture. 5+ years leading enterprise AI, Machine Learning, or Data Science initiatives. Experience dealing with Analytics platforms like SAP and Non SAP solutions Experience delivering large-scale cloud and AI transformation programs. Proven success influencing executive stakeholders and driving cross-functional initiatives. Technical Expertise Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG) AI frameworks such as Semantic Kernel, LangChain, CrewAI, AutoGen Azure AI Foundry, Azure OpenAI, Azure Machine Learning Cloud platforms (Azure preferred; AWS/GCP a plus) MLOps, LLMOps, CI/CD, DevSecOps Data platforms including Databricks, Fabric and modern data architectures API, microservices, containerization, and Kubernetes Experience in SAP Joule Experience with Analytic platforms like SAP Business Data Cloud, BW, Databricks, Fabric Preferred Qualifications Experience in Manufacturing Industries. Experience implementing Responsible AI frameworks. Demonstrated thought leadership in AI strategy and enterprise transformation. Demonstrated experience in leading and dealing with analytics strategy and execution Total Compensation = Pay range + Benefits Posted salary ranges are made in good faith. Tennant Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity. The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits. Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, 8 paid company holidays and 3 personal holidays dental and vision coverage, wellness rewards, robust family support programs, company paid disability and life insurance, and a full Employee Assistance Program. Defining Our Employee Value Proposition At Tennant Company, we Discover fulfilling work with opportunities for growth and meaningful recognition. Drive the quality and innovation our customers rely on in our products and services. Connect with people who care about each other, our brands and our communities. These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future. Together, they serve as guideposts for working with our customers, our partners and one another. Begin your journey with us. Let's reinvent how the world cleans. Equal Opportunity Employer Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.
Job Description Job Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE At LVT, application security isn't an internal formality or a late-stage gate. We run a multi-tenant cloud platform, AI-driven video analytics, and license plate recognition pipelines, and we deploy thousands of solar-powered units everywhere from remote utility sites to busy retail parking lots, where anyone can walk up and touch the hardware. A tenant isolation bug, an unsigned firmware update, or a flaw in our analytics isn't just a ticket. It's a customer incident, a potential public headline, and a threat to public trust. We don't block innovation; we make high-speed execution safe. We are seeking a Senior Manager, Application Security to own product security end-to-end across LVT's physical and digital architecture. This is a player-coach role: you will manage and mentor our existing application security engineers, hire 1-2 additional security engineers, and launch a Security Champions program across product teams. Reporting to our Director, Security Engineering, you will earn a standing seat in product and engineering planning, frame risk so clearly that engineering leaders take ownership of it, and design guardrails that make the secure path the easiest path. If you'd rather build the program than police it, this role offers direct organizational impact. This role is based full-time in-office out of our Headquarters in American Fork, Utah. ROLE RESPONSIBILITIES Team Leadership: Directly manage and mentor current AppSec engineers, hire and onboard 1-2 security engineers, and launch a cross-functional Security Champions program that scales your impact across every engineering squad. Product Security Ownership: Set the architecture and standards for LVT's full attack surface, from our multi-tenant cloud platform and partner APIs to mobile clients, computer vision pipelines, and solar-powered edge firmware. Engineering Partnership: Hold a standing seat in product design and planning, turning security risks into prioritized backlog items that engineering teams own and ship. Threat Modeling at Scale: Make threat modeling a core muscle that engineering squads run independently. Train teams on the fundamentals while staying hands-on for high-stakes system designs and edge/hardware boundaries. Tenant Isolation: Define, enforce, and test tenant boundaries across all platform services, deploying automated checks so cross-tenant data leaks never reach production. Secure SDLC Automation: Build security into CI/CD pipelines as code (SAST, SCA, secrets detection, IaC policy), delivering developer feedback in minutes, not sprints, with low noise and clear build-break rules. Edge & Firmware Security: Partner with hardware and embedded teams on device boot security, signed OTA update pipelines, edge credential management, and threat models that assume physical access. AI/ML & Analytics Security: Safeguard our AI vision models, prompt boundaries, and data pipelines against abuse, keeping privacy-by-design at the forefront in a regulated and publicly scrutinized space. AI-Assisted Development Standards: Define guardrails for how LVT engineers use AI coding agents, ensuring AI-generated code meets our standards for safety, testing, and architecture. Compliance as Engineering Artifacts: Turn real product security controls into audit evidence for SOC 2, GovRAMP, FedRAMP, and CJIS through native engineering workflows instead of manual compliance exercises. Incident Response & Disclosure: Oversee external vulnerability intake, triage, and coordinated disclosure (VDP/bug bounty), and lead engineering response to product security incidents. Observability & Systemic Defenses: Partner with SecOps to instrument telemetry for authorization failures and edge abuse, turning incident learnings into root-cause controls. OUR IDEAL CANDIDATE The Player-Coach Mindset: 10+ years in AppSec or product security, including significant time as a hands-on engineer and 4+ years as a people manager or formal technical lead. You still read code, build automation, and hold your own in architecture reviews with principal engineers. Engineering Empathy: You know what it takes to ship software. You've carried a pager, hit deadlines, or maintained a release pipeline. You understand why shortcuts happen and spend your political capital wisely. Cross-Functional Influencer: You can point to releases or system architectures that changed because of an argument you made, and explain how you earned buy-in without pulling rank. Cloud & SaaS Depth: Deep technical grounding in multi-tenant authorization, zero-trust architectures, and API security at scale. Tooling & Code Fluency: Fluent in at least one language in our stack (e.g., Python, Go, TypeScript/Node, C/C++), with the ability to write custom automation, tooling, and CI integrations. Hardware & Firmware Exposure: Familiarity with IoT, embedded platforms, hardware security modules, or OTA update validation, or a proven ability to master physical attack surfaces quickly. AI/ML Security Literate: Understanding of model supply chain risks, data handling during inference, and security reviews for AI-augmented features. Metrics-Driven: You know the difference between a tool and a program. You measure success by coverage, adoption, defect recurrence, and remediation velocity. Location: Based onsite out of our headquarters in American Fork, Utah. Bonus Points: Experience in video streaming, computer vision, or physical safety products; hands-on work in regulated spaces (FedRAMP, GovRAMP, StateRAMP, CJIS); a track record scaling a formal Security Champions program or running a VDP/bug bounty. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
11/06/2026
Full time
Job Description Job Description ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it. We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it. A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and on the Inc. 5000 Rocky Mountain Regional list for 2025. Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025 , and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024. Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025. ABOUT THIS ROLE At LVT, application security isn't an internal formality or a late-stage gate. We run a multi-tenant cloud platform, AI-driven video analytics, and license plate recognition pipelines, and we deploy thousands of solar-powered units everywhere from remote utility sites to busy retail parking lots, where anyone can walk up and touch the hardware. A tenant isolation bug, an unsigned firmware update, or a flaw in our analytics isn't just a ticket. It's a customer incident, a potential public headline, and a threat to public trust. We don't block innovation; we make high-speed execution safe. We are seeking a Senior Manager, Application Security to own product security end-to-end across LVT's physical and digital architecture. This is a player-coach role: you will manage and mentor our existing application security engineers, hire 1-2 additional security engineers, and launch a Security Champions program across product teams. Reporting to our Director, Security Engineering, you will earn a standing seat in product and engineering planning, frame risk so clearly that engineering leaders take ownership of it, and design guardrails that make the secure path the easiest path. If you'd rather build the program than police it, this role offers direct organizational impact. This role is based full-time in-office out of our Headquarters in American Fork, Utah. ROLE RESPONSIBILITIES Team Leadership: Directly manage and mentor current AppSec engineers, hire and onboard 1-2 security engineers, and launch a cross-functional Security Champions program that scales your impact across every engineering squad. Product Security Ownership: Set the architecture and standards for LVT's full attack surface, from our multi-tenant cloud platform and partner APIs to mobile clients, computer vision pipelines, and solar-powered edge firmware. Engineering Partnership: Hold a standing seat in product design and planning, turning security risks into prioritized backlog items that engineering teams own and ship. Threat Modeling at Scale: Make threat modeling a core muscle that engineering squads run independently. Train teams on the fundamentals while staying hands-on for high-stakes system designs and edge/hardware boundaries. Tenant Isolation: Define, enforce, and test tenant boundaries across all platform services, deploying automated checks so cross-tenant data leaks never reach production. Secure SDLC Automation: Build security into CI/CD pipelines as code (SAST, SCA, secrets detection, IaC policy), delivering developer feedback in minutes, not sprints, with low noise and clear build-break rules. Edge & Firmware Security: Partner with hardware and embedded teams on device boot security, signed OTA update pipelines, edge credential management, and threat models that assume physical access. AI/ML & Analytics Security: Safeguard our AI vision models, prompt boundaries, and data pipelines against abuse, keeping privacy-by-design at the forefront in a regulated and publicly scrutinized space. AI-Assisted Development Standards: Define guardrails for how LVT engineers use AI coding agents, ensuring AI-generated code meets our standards for safety, testing, and architecture. Compliance as Engineering Artifacts: Turn real product security controls into audit evidence for SOC 2, GovRAMP, FedRAMP, and CJIS through native engineering workflows instead of manual compliance exercises. Incident Response & Disclosure: Oversee external vulnerability intake, triage, and coordinated disclosure (VDP/bug bounty), and lead engineering response to product security incidents. Observability & Systemic Defenses: Partner with SecOps to instrument telemetry for authorization failures and edge abuse, turning incident learnings into root-cause controls. OUR IDEAL CANDIDATE The Player-Coach Mindset: 10+ years in AppSec or product security, including significant time as a hands-on engineer and 4+ years as a people manager or formal technical lead. You still read code, build automation, and hold your own in architecture reviews with principal engineers. Engineering Empathy: You know what it takes to ship software. You've carried a pager, hit deadlines, or maintained a release pipeline. You understand why shortcuts happen and spend your political capital wisely. Cross-Functional Influencer: You can point to releases or system architectures that changed because of an argument you made, and explain how you earned buy-in without pulling rank. Cloud & SaaS Depth: Deep technical grounding in multi-tenant authorization, zero-trust architectures, and API security at scale. Tooling & Code Fluency: Fluent in at least one language in our stack (e.g., Python, Go, TypeScript/Node, C/C++), with the ability to write custom automation, tooling, and CI integrations. Hardware & Firmware Exposure: Familiarity with IoT, embedded platforms, hardware security modules, or OTA update validation, or a proven ability to master physical attack surfaces quickly. AI/ML Security Literate: Understanding of model supply chain risks, data handling during inference, and security reviews for AI-augmented features. Metrics-Driven: You know the difference between a tool and a program. You measure success by coverage, adoption, defect recurrence, and remediation velocity. Location: Based onsite out of our headquarters in American Fork, Utah. Bonus Points: Experience in video streaming, computer vision, or physical safety products; hands-on work in regulated spaces (FedRAMP, GovRAMP, StateRAMP, CJIS); a track record scaling a formal Security Champions program or running a VDP/bug bounty. BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO. LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
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.
11/06/2026
Full time
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.
Job Description Job Description Senior Dynamics 365 Architect Hybrid - Greater Boston, MA About the Opportunity Join a privately held enterprise data platform company - whose technology is trusted by the world's largest enterprises across finance, healthcare, telecom, and beyond. With 30 years of engineering excellence and a recent high-profile partnership with Google Cloud to power agentic AI workflows, this company is at the forefront of the data revolution. Now, they're making a strategic investment to bring their internal Dynamics 365 capabilities in-house - and they need a technical architect to own it. This is not a staff-aug engagement or a consulting rotation. You'll be the D365 authority for the entire enterprise, reporting into leadership and shaping how a company that builds world-class data infrastructure runs its own business systems. Why This Company? This organization builds an agentic data platform that spans the full data engineering lifecycle - transformation, quality, lineage, governance, and orchestration - serving multi-cloud enterprises operating across hundreds of data sources, from modern cloud services to legacy mainframes. Their engineering bar is exceptionally high and employee tenure is long. They understand complex systems, legacy modernization, and enterprise-grade architecture - and they expect the same caliber of thinking applied to their internal business platforms. The Environment You'll Own You'll architect and lead a modern Microsoft ecosystem supporting a sophisticated engineering organization: Core Platform: Microsoft Dynamics 365 (CRM/Sales, Finance, HR, Expenses) Analytics: Power BI consuming Dynamics data Integrations: ServiceNow (customer support), shipping systems, product delivery workflows Legacy Modernization: Lotus Notes data and workflows (Keys, Expenses, HR history) - a migration opportunity, not just maintenance Planned Builds: mobile time tracking, contract/SOW management What You'll Do Own the architecture - all technical decisions for D365 customizations, plugins, and integrations across the enterprise Write and review production code (C#, .NET, Azure, SQL Server) as a hands-on technical leader, not just a diagram-drawer Lead and mentor a growing team of application developers (building from a small core team) Design upgrade-resilient patterns that protect the business from breaking changes during platform updates - this company builds systems meant to last decades, and they expect the same durability internally Drive legacy modernization - migrate Lotus Notes workflows into D365, applying the same rigor this company brings to migrating enterprise clients off COBOL and legacy ETL tools Collaborate with Program Managers, Systems teams, and executive stakeholders to align D365 strategy with business priorities What You Bring Must-Have: Deep, proven experience with Dynamics 365 - customizations, plugins, integrations, and navigating major upgrades Hands-on expertise in C#/.NET and the broader Microsoft stack (Azure, SQL Server) Strong integration experience with enterprise tools (ServiceNow, Power BI, or similar) Track record of leading or mentoring development teams You're the Right Fit If: You think in systems, not just features - you understand data lineage, governance, and why metadata matters as much as the data itself You're energized by building a capability from the ground up, not inheriting someone else's playbook You can communicate architecture decisions to both developers and executives You've worked in environments where engineering rigor and long-term durability are non-negotiable Legacy modernization excites you - you see Lotus Notes migration as a design challenge, not a chore
11/06/2026
Full time
Job Description Job Description Senior Dynamics 365 Architect Hybrid - Greater Boston, MA About the Opportunity Join a privately held enterprise data platform company - whose technology is trusted by the world's largest enterprises across finance, healthcare, telecom, and beyond. With 30 years of engineering excellence and a recent high-profile partnership with Google Cloud to power agentic AI workflows, this company is at the forefront of the data revolution. Now, they're making a strategic investment to bring their internal Dynamics 365 capabilities in-house - and they need a technical architect to own it. This is not a staff-aug engagement or a consulting rotation. You'll be the D365 authority for the entire enterprise, reporting into leadership and shaping how a company that builds world-class data infrastructure runs its own business systems. Why This Company? This organization builds an agentic data platform that spans the full data engineering lifecycle - transformation, quality, lineage, governance, and orchestration - serving multi-cloud enterprises operating across hundreds of data sources, from modern cloud services to legacy mainframes. Their engineering bar is exceptionally high and employee tenure is long. They understand complex systems, legacy modernization, and enterprise-grade architecture - and they expect the same caliber of thinking applied to their internal business platforms. The Environment You'll Own You'll architect and lead a modern Microsoft ecosystem supporting a sophisticated engineering organization: Core Platform: Microsoft Dynamics 365 (CRM/Sales, Finance, HR, Expenses) Analytics: Power BI consuming Dynamics data Integrations: ServiceNow (customer support), shipping systems, product delivery workflows Legacy Modernization: Lotus Notes data and workflows (Keys, Expenses, HR history) - a migration opportunity, not just maintenance Planned Builds: mobile time tracking, contract/SOW management What You'll Do Own the architecture - all technical decisions for D365 customizations, plugins, and integrations across the enterprise Write and review production code (C#, .NET, Azure, SQL Server) as a hands-on technical leader, not just a diagram-drawer Lead and mentor a growing team of application developers (building from a small core team) Design upgrade-resilient patterns that protect the business from breaking changes during platform updates - this company builds systems meant to last decades, and they expect the same durability internally Drive legacy modernization - migrate Lotus Notes workflows into D365, applying the same rigor this company brings to migrating enterprise clients off COBOL and legacy ETL tools Collaborate with Program Managers, Systems teams, and executive stakeholders to align D365 strategy with business priorities What You Bring Must-Have: Deep, proven experience with Dynamics 365 - customizations, plugins, integrations, and navigating major upgrades Hands-on expertise in C#/.NET and the broader Microsoft stack (Azure, SQL Server) Strong integration experience with enterprise tools (ServiceNow, Power BI, or similar) Track record of leading or mentoring development teams You're the Right Fit If: You think in systems, not just features - you understand data lineage, governance, and why metadata matters as much as the data itself You're energized by building a capability from the ground up, not inheriting someone else's playbook You can communicate architecture decisions to both developers and executives You've worked in environments where engineering rigor and long-term durability are non-negotiable Legacy modernization excites you - you see Lotus Notes migration as a design challenge, not a chore