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 Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. 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.
11/13/2026
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 Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. 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. Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. The DRIVE Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation agentic search pipelines. We specialize in building robust retrieval systems, scalable embedding infrastructure, and tightly integrated LLM pipelines that leverage unstructured data sources. Our mission is to make complex unstructured data easily discoverable and actionable by building intelligent, retrieval-driven systems that enhance enterprise search, question answering, deep research, report generation, and knowledge discovery experiences across S&P Global platforms. We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models, LLM orchestration, and system-level thinking. Kensho states that the anticipated base salary range for the position is 140k - 180k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. What You'll Do: Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation Who You'll Need: Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, LLamaIndex, etc. Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation. Experience working with vector databases (e.g., PostgreSQL/PGVector, OpenSearch, Pinecone) and understanding of similarity search techniques and vector indexing algorithms Demonstrated effective coding, documentation, collaboration, and communication habits Strong problem-solving skills and a proactive approach to addressing challenges Ability to adapt to a fast-paced and dynamic work environment Technologies We Love: ML: PyTorch, Transformers, HuggingFace, LangChain Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM Techniques : Agentic Search, Prompt Engineering, Information Retrieval, Data Embedding, AI agent evaluation Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS, Github Action At Kensho, we pride ourselves on providing top-of-market benefits, including: Medical, Dental, and Vision insurance 100% company paid premiums Unlimited Paid Time Off 26 weeks of 100% paid Parental Leave (paternity and maternity) 401(k) plan with 6% employer matching Generous company matching on donations to non-profit charities Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences Plentiful snacks, drinks, and regularly catered lunches Dog-friendly office (CAM office) Bike sharing program memberships Compassion leave and elder care leave Mentoring and additional learning opportunities Opportunity to expand professional network and participate in conferences and events 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 . We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
11/13/2026
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. Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. The DRIVE Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation agentic search pipelines. We specialize in building robust retrieval systems, scalable embedding infrastructure, and tightly integrated LLM pipelines that leverage unstructured data sources. Our mission is to make complex unstructured data easily discoverable and actionable by building intelligent, retrieval-driven systems that enhance enterprise search, question answering, deep research, report generation, and knowledge discovery experiences across S&P Global platforms. We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models, LLM orchestration, and system-level thinking. Kensho states that the anticipated base salary range for the position is 140k - 180k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. What You'll Do: Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation Who You'll Need: Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, LLamaIndex, etc. Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation. Experience working with vector databases (e.g., PostgreSQL/PGVector, OpenSearch, Pinecone) and understanding of similarity search techniques and vector indexing algorithms Demonstrated effective coding, documentation, collaboration, and communication habits Strong problem-solving skills and a proactive approach to addressing challenges Ability to adapt to a fast-paced and dynamic work environment Technologies We Love: ML: PyTorch, Transformers, HuggingFace, LangChain Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM Techniques : Agentic Search, Prompt Engineering, Information Retrieval, Data Embedding, AI agent evaluation Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS, Github Action At Kensho, we pride ourselves on providing top-of-market benefits, including: Medical, Dental, and Vision insurance 100% company paid premiums Unlimited Paid Time Off 26 weeks of 100% paid Parental Leave (paternity and maternity) 401(k) plan with 6% employer matching Generous company matching on donations to non-profit charities Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences Plentiful snacks, drinks, and regularly catered lunches Dog-friendly office (CAM office) Bike sharing program memberships Compassion leave and elder care leave Mentoring and additional learning opportunities Opportunity to expand professional network and participate in conferences and events 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 . We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, 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 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: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . 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 - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
11/13/2026
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): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, 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 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: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . 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 - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
Date Posted: 2026-10-13 Country: United States of America Location: US-CO-AURORA-S E Hughes Dr BLDG S77 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors, and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. This position is an onsite role in Aurora, CO What You Will Do Lead AI/ML architecture and implementation Design, develop, test, deliver, and maintain software for cutting-edge satellite ground systems. Work with a team of engineers, architects, and leaders in an Agile environment. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design. Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices for defense projects. Satellite ground system technologies. Qualifications You Must Have A Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of prior relevant experience. Experience with agentic and multi-agent AI/ML systems. Experience developing software using Java, Python, and JavaScript. Experience developing satellite planning & scheduling software. Experience with containerization using Docker, Kubernetes, and Kafka. An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Software development lifecycle experience using the SAFe Agile methodology. Experience with Test Automation, DevSecOps, and CI/CD processes. Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-10-13 Country: United States of America Location: US-CO-AURORA-S E Hughes Dr BLDG S77 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors, and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. This position is an onsite role in Aurora, CO What You Will Do Lead AI/ML architecture and implementation Design, develop, test, deliver, and maintain software for cutting-edge satellite ground systems. Work with a team of engineers, architects, and leaders in an Agile environment. What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design. Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices for defense projects. Satellite ground system technologies. Qualifications You Must Have A Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of prior relevant experience. Experience with agentic and multi-agent AI/ML systems. Experience developing software using Java, Python, and JavaScript. Experience developing satellite planning & scheduling software. Experience with containerization using Docker, Kubernetes, and Kafka. An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Software development lifecycle experience using the SAFe Agile methodology. Experience with Test Automation, DevSecOps, and CI/CD processes. Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Credit Acceptance Corporation
Bellevue, Washington
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Dealers and customers trust Credit Acceptance with their financial data. Regulators expect us to prove that trust is earned. As the Vice President, Engineering - Security, Compliance and Trust (CISO), you will own how Credit Acceptance stays secure and compliant as we move to the cloud and put AI agents to work across the business. You will set the security strategy, lead the team that delivers it, and report on it to executive leadership and the Board. You are the company's designated CISO for regulatory purposes. You report to the CTO and have direct access to the Audit Committee, including a private session at least once a year. You will lead a team across security operations, security engineering (application, cloud, identity and AI security) and governance, risk and compliance. You will work closely with Engineering, Legal, Risk and Fraud so the secure path is also the fast path. Agents are a new kind of actor in our environment. They have their own identities and make their own decisions. You will own the controls and evidence that let us adopt them quickly and keep the trust of our customers and regulators. Hybrid from Southfield, MI; Bellevue, WA; or the San Francisco Bay Area. Outcomes and Activities Own the enterprise information security strategy, tied to business goals, regulatory requirements and Engineering's AI and modernization plans. Own security for the move from on-premises data centers to AWS. Every workload lands in a secure, standard landing zone, and we modernize or retire legacy technology. Lead vulnerability and exposure operations. Critical findings are fixed in hours, with AI-assisted prioritization and a person accountable for every decision. Own identity and privileged access for people, services and agents. Own data protection and privacy: classification, handling standards and controls on where sensitive data can go. Review privacy engineering with product and engineering teams so privacy-by-design holds across the product lifecycle, including how AI systems use and keep data. Manage third-party and vendor cyber risk, from due diligence through ongoing monitoring, including security service providers, auditors and penetration testers. Any partner that builds or runs AI for us meets the same controls as our own teams. Lead threat detection and incident response, including playbooks for compromised or misbehaving agents and executive tabletop exercises. Defend against AI-enabled attacks such as deepfake impersonation and synthetic identity fraud, with our fraud and operations teams. Define how AI agents are secured, with Engineering's architecture and platform leaders. Each agent is a first-class identity with least-privilege access. Govern how agents call tools and data, including Model Context Protocol servers, and set policy for what an agent may decide and what stays with a person. Test AI systems and agents before release and continuously in production for prompt injection, tool misuse and data exfiltration. Every agent has an audit trail and can be suspended. Keep a living inventory of AI systems, agents and the AI features inside the tools we buy, including unsanctioned use. Set acceptable-use, data-handling and third-party AI standards aligned to NIST AI RMF and ISO/IEC 42001. Build security into how software is specified, generated, tested and deployed, including AI-assisted development. Automated gates replace manual reviews. Lead compliance with the obligations of a public consumer lender: GLBA, NYDFS Part 500, SOX IT general controls, PCI DSS, state privacy laws and SEC cybersecurity disclosure. That includes audit and examiner response, and systems that produce evidence automatically, down to a record an examiner can follow of what an agent saw and what it changed. Report to the Board: regular updates, the annual NYDFS Part 500 CISO report to the Board and the annual NYDFS certification, using a small set of metrics that drive decisions. Lead the Company's Information Security Compliance Committee, which meets at least quarterly with the Company's Executive Leadership Team. Build and develop the security team: hiring, developing people, building the skills to secure and use AI, and a security-aware culture across Engineering and the business. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree (computer science or a related field preferred). 10+ years in information security, compliance or a related field. 10+ years leading an information security, compliance or risk team. Regulatory compliance experience in financial services, such as GLBA, NYDFS Part 500, SOX and PCI DSS. Experience leading business continuity and cyber incident response, including executive tabletop exercises and response to a significant incident. Strong familiarity with NIST CSF, ISO 27001/27002 and SOC 2. Strong knowledge of security architecture for cloud-native environments: identity and access management, encryption, network and endpoint controls and vulnerability management. Experience building security into CI/CD and software delivery. Practical experience securing AI-enabled systems or AI-assisted development in production, including identity and access, data protection and testing. Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context Protocol, runtime controls and agent-specific incident response. AI-assisted detection, triage and response in a security operations center, with human oversight. SEC cybersecurity disclosure experience as the security leader of a public company. Risk assessment for AI systems and third-party AI vendors. CISSP, CISM or an equivalent security certification. Knowledge and Skills Architecture: Ability to design security architecture that is built in by default and enforced through automation, not manual review. AI and Agent Security: Working knowledge of how agents are attacked and how they fail (prompt injection, tool misuse, identity and privilege abuse, memory poisoning) and the controls that contain them, drawing on the OWASP Top 10 for Agentic Applications, NIST AI RMF and ISO/IEC 42001. Risk Judgment: Ability to weigh security risk against business value, decide what an agent or a team may do on its own, and explain the tradeoff and the evidence plainly. Holds the higher bar and says so. Executive Communication: Ability to turn technical and AI risk into clear decisions for executives and the Board. Leadership and Influence: Ability to build a strong team, challenge the status quo, and earn trust across Engineering, Legal, Compliance, Risk and the business without relying on authority. Target Compensation: This position offers a competitive base salary, with a range of $300,000 - $400,000. This position is eligible for equity and annual cash bonuses. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at a local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role . click apply for full job details
11/13/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Dealers and customers trust Credit Acceptance with their financial data. Regulators expect us to prove that trust is earned. As the Vice President, Engineering - Security, Compliance and Trust (CISO), you will own how Credit Acceptance stays secure and compliant as we move to the cloud and put AI agents to work across the business. You will set the security strategy, lead the team that delivers it, and report on it to executive leadership and the Board. You are the company's designated CISO for regulatory purposes. You report to the CTO and have direct access to the Audit Committee, including a private session at least once a year. You will lead a team across security operations, security engineering (application, cloud, identity and AI security) and governance, risk and compliance. You will work closely with Engineering, Legal, Risk and Fraud so the secure path is also the fast path. Agents are a new kind of actor in our environment. They have their own identities and make their own decisions. You will own the controls and evidence that let us adopt them quickly and keep the trust of our customers and regulators. Hybrid from Southfield, MI; Bellevue, WA; or the San Francisco Bay Area. Outcomes and Activities Own the enterprise information security strategy, tied to business goals, regulatory requirements and Engineering's AI and modernization plans. Own security for the move from on-premises data centers to AWS. Every workload lands in a secure, standard landing zone, and we modernize or retire legacy technology. Lead vulnerability and exposure operations. Critical findings are fixed in hours, with AI-assisted prioritization and a person accountable for every decision. Own identity and privileged access for people, services and agents. Own data protection and privacy: classification, handling standards and controls on where sensitive data can go. Review privacy engineering with product and engineering teams so privacy-by-design holds across the product lifecycle, including how AI systems use and keep data. Manage third-party and vendor cyber risk, from due diligence through ongoing monitoring, including security service providers, auditors and penetration testers. Any partner that builds or runs AI for us meets the same controls as our own teams. Lead threat detection and incident response, including playbooks for compromised or misbehaving agents and executive tabletop exercises. Defend against AI-enabled attacks such as deepfake impersonation and synthetic identity fraud, with our fraud and operations teams. Define how AI agents are secured, with Engineering's architecture and platform leaders. Each agent is a first-class identity with least-privilege access. Govern how agents call tools and data, including Model Context Protocol servers, and set policy for what an agent may decide and what stays with a person. Test AI systems and agents before release and continuously in production for prompt injection, tool misuse and data exfiltration. Every agent has an audit trail and can be suspended. Keep a living inventory of AI systems, agents and the AI features inside the tools we buy, including unsanctioned use. Set acceptable-use, data-handling and third-party AI standards aligned to NIST AI RMF and ISO/IEC 42001. Build security into how software is specified, generated, tested and deployed, including AI-assisted development. Automated gates replace manual reviews. Lead compliance with the obligations of a public consumer lender: GLBA, NYDFS Part 500, SOX IT general controls, PCI DSS, state privacy laws and SEC cybersecurity disclosure. That includes audit and examiner response, and systems that produce evidence automatically, down to a record an examiner can follow of what an agent saw and what it changed. Report to the Board: regular updates, the annual NYDFS Part 500 CISO report to the Board and the annual NYDFS certification, using a small set of metrics that drive decisions. Lead the Company's Information Security Compliance Committee, which meets at least quarterly with the Company's Executive Leadership Team. Build and develop the security team: hiring, developing people, building the skills to secure and use AI, and a security-aware culture across Engineering and the business. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree (computer science or a related field preferred). 10+ years in information security, compliance or a related field. 10+ years leading an information security, compliance or risk team. Regulatory compliance experience in financial services, such as GLBA, NYDFS Part 500, SOX and PCI DSS. Experience leading business continuity and cyber incident response, including executive tabletop exercises and response to a significant incident. Strong familiarity with NIST CSF, ISO 27001/27002 and SOC 2. Strong knowledge of security architecture for cloud-native environments: identity and access management, encryption, network and endpoint controls and vulnerability management. Experience building security into CI/CD and software delivery. Practical experience securing AI-enabled systems or AI-assisted development in production, including identity and access, data protection and testing. Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context Protocol, runtime controls and agent-specific incident response. AI-assisted detection, triage and response in a security operations center, with human oversight. SEC cybersecurity disclosure experience as the security leader of a public company. Risk assessment for AI systems and third-party AI vendors. CISSP, CISM or an equivalent security certification. Knowledge and Skills Architecture: Ability to design security architecture that is built in by default and enforced through automation, not manual review. AI and Agent Security: Working knowledge of how agents are attacked and how they fail (prompt injection, tool misuse, identity and privilege abuse, memory poisoning) and the controls that contain them, drawing on the OWASP Top 10 for Agentic Applications, NIST AI RMF and ISO/IEC 42001. Risk Judgment: Ability to weigh security risk against business value, decide what an agent or a team may do on its own, and explain the tradeoff and the evidence plainly. Holds the higher bar and says so. Executive Communication: Ability to turn technical and AI risk into clear decisions for executives and the Board. Leadership and Influence: Ability to build a strong team, challenge the status quo, and earn trust across Engineering, Legal, Compliance, Risk and the business without relying on authority. Target Compensation: This position offers a competitive base salary, with a range of $300,000 - $400,000. This position is eligible for equity and annual cash bonuses. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at a local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role . click apply for full job details
Job Title: Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance Location: Plano, TX (Local candidates only. Hybrid, 3 days onsite per week required.) Duration: Contract - 12 months Pay Range: $73.67/hr (W2) Job ID: 412083 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 Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance to serve as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The ideal candidate will demonstrate strong experience in AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance, with a proven ability to translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions while partnering closely with CIO architecture teams, platform engineering, security, and risk. Responsibilities: Define enterprise AI architecture strategy, patterns, and reference architectures. Establish decision frameworks for AI platform selection, solution design, and deployment approaches. Develop governance models, standards, and guardrails for AI and agentic solutions. Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts. Align AI architecture with enterprise security, risk, compliance, and control requirements. Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation. Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight. Drive standards for deterministic, probabilistic, and hybrid automation models. Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows. Guide adoption of emerging AI interoperability standards and architectures, including MCP where applicable. Develop decision guidance for model selection, orchestration approaches, and AI solution architectures. Partner with platform teams to align enterprise AI capabilities with business and technology needs. Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures. Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval. Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities. Embed security through architecture patterns covering identity, access, data protection, and policy enforcement. Translate complex AI concepts into clear, actionable guidance for technical and business audiences. Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices. Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives. Promote responsible AI adoption through practical governance and architectural guardrails. Required Skills & Qualifications: 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design. 8+ years architecting AI/ML, NLP, or advanced analytics solutions. 2+ years designing enterprise GenAI, RAG, and agentic AI solutions. Strong knowledge of LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures. Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, and Azure OpenAI or equivalents. Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns. Understanding of security, governance, privacy, and risk considerations for AI solutions. Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments. Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences. Preferred Skills: Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards. Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot. Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures. Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures. Experience defining AI governance, model lifecycle management, and responsible AI practices. Experience operating in large-scale, highly regulated enterprise environments. 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.
11/13/2026
Full time
Job Title: Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance Location: Plano, TX (Local candidates only. Hybrid, 3 days onsite per week required.) Duration: Contract - 12 months Pay Range: $73.67/hr (W2) Job ID: 412083 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 Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance to serve as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The ideal candidate will demonstrate strong experience in AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance, with a proven ability to translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions while partnering closely with CIO architecture teams, platform engineering, security, and risk. Responsibilities: Define enterprise AI architecture strategy, patterns, and reference architectures. Establish decision frameworks for AI platform selection, solution design, and deployment approaches. Develop governance models, standards, and guardrails for AI and agentic solutions. Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts. Align AI architecture with enterprise security, risk, compliance, and control requirements. Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation. Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight. Drive standards for deterministic, probabilistic, and hybrid automation models. Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows. Guide adoption of emerging AI interoperability standards and architectures, including MCP where applicable. Develop decision guidance for model selection, orchestration approaches, and AI solution architectures. Partner with platform teams to align enterprise AI capabilities with business and technology needs. Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures. Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval. Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities. Embed security through architecture patterns covering identity, access, data protection, and policy enforcement. Translate complex AI concepts into clear, actionable guidance for technical and business audiences. Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices. Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives. Promote responsible AI adoption through practical governance and architectural guardrails. Required Skills & Qualifications: 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design. 8+ years architecting AI/ML, NLP, or advanced analytics solutions. 2+ years designing enterprise GenAI, RAG, and agentic AI solutions. Strong knowledge of LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures. Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, and Azure OpenAI or equivalents. Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns. Understanding of security, governance, privacy, and risk considerations for AI solutions. Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments. Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences. Preferred Skills: Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards. Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot. Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures. Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures. Experience defining AI governance, model lifecycle management, and responsible AI practices. Experience operating in large-scale, highly regulated enterprise environments. 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 TITLE: Artificial Intelligence Engineer JOB LOCATION: Boston, MA, WAGE RANGE : $85-$90 JOB NUMBER: Client-27-1044-EPS17-OTIS-135351, FY27_EOPSS_ITS87 JOB DESCRIPTION We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value. Proven experience architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories to deliver accurate, context-aware, and scalable generative AI applications. Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations. Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability. Ability to integrate LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures Implement technical efforts to design, build, and deploy AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance. Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability. Educate cross-functional teams on the implementation of new cloud-based data initiatives, providing associated training and technical documentation when necessary. Demonstrate exceptional problem-solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity. Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently. Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance. Configure and manage virtual compute resources ( AWS EC2 and Snowflake Virtual Warehouses), focusing on optimal configuration, sizing, elasticity, auto-scaling, and cost control. Implement and maintain rigorous security configurations, including AWS IAM, Snowflake Role-Based Access Control (RBAC), network policies, and Row/Column-level security to protect sensitive data. Perform data platform administrative functions across AWS and Snowflake, ensuring smooth operations, query optimization, storage management, and compliance with best practices. Configure and manage load balancing strategies and failover routing ( AWS ELB/Route 53) to ensure high availability and fault tolerance across data applications and BI endpoints. Design and manage AWS VPC networks, security groups, and private endpoints ( AWS PrivateLink) to ensure secure, efficient, and private connectivity between AWS, Snowflake, and Tableau. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
11/13/2026
Full time
JOB TITLE: Artificial Intelligence Engineer JOB LOCATION: Boston, MA, WAGE RANGE : $85-$90 JOB NUMBER: Client-27-1044-EPS17-OTIS-135351, FY27_EOPSS_ITS87 JOB DESCRIPTION We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value. Proven experience architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories to deliver accurate, context-aware, and scalable generative AI applications. Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations. Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability. Ability to integrate LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures Implement technical efforts to design, build, and deploy AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance. Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability. Educate cross-functional teams on the implementation of new cloud-based data initiatives, providing associated training and technical documentation when necessary. Demonstrate exceptional problem-solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity. Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently. Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance. Configure and manage virtual compute resources ( AWS EC2 and Snowflake Virtual Warehouses), focusing on optimal configuration, sizing, elasticity, auto-scaling, and cost control. Implement and maintain rigorous security configurations, including AWS IAM, Snowflake Role-Based Access Control (RBAC), network policies, and Row/Column-level security to protect sensitive data. Perform data platform administrative functions across AWS and Snowflake, ensuring smooth operations, query optimization, storage management, and compliance with best practices. Configure and manage load balancing strategies and failover routing ( AWS ELB/Route 53) to ensure high availability and fault tolerance across data applications and BI endpoints. Design and manage AWS VPC networks, security groups, and private endpoints ( AWS PrivateLink) to ensure secure, efficient, and private connectivity between AWS, Snowflake, and Tableau. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Principal Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 10+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Principal Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Principal Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 10+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
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 We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality 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. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices 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 $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees 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 . click apply for full job details
11/13/2026
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 We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality 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. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices 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 $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees 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 . 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
11/13/2026
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
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/13/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. AI domain encompasses disciplines and job families dedicated to the creation, implementation, and management of artificial intelligence technologies. This domain includes roles focused on the research, design, engineering, application, and governance of AI systems. Within the AI domain, professionals work on developing intelligent algorithms and data-driven solutions to solve complex problems and improve decision-making processes. The scope of AI covers various subfields, including natural language processing (NLP), reinforcement learning, and generative AI. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development Troubleshoot and debug complex issues; identify and implement solutions Create detailed project specifications, requirements, and estimates Research and implement new AI technologies to enhance current processes, security, and performance Work closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs Work on pioneering projects that harness the power of artificial intelligence to solve complex problems and create significant business value. Responsible for participating in all phases of the development process, following agile processes and test-driven development, and using object-oriented development tools to analyze, model, design, construct and test reusable objects. Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 3+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments 3+ years of professional, design, and open-source experience Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 5 years of full Software Development Life Cycle (SDLC) experience Prior experience designing and building agentic systems Prior experience developing and implementing AI solutions using Large-Language Models (LLMs) Airline or transport industry experience is a plus Skills, Licenses & Certifications Practical understanding of transformer architectures and how modern LLMs work Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool-calling patterns, or equivalent internal frameworks Proficiency in prompt engineering: systematic prompt design, few-shot learning, chain-of-thought, and prompt optimization for foundation models Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG architecture patterns Experience with LLM evaluation methods, including LLM-as-a-judge, automated benchmarking, and regression testing for model outputs Proficiency in post-deployment model maintenance, including observability, monitoring, cost optimization, and drift detection Experience developing and implementing governance frameworks and controls for responsible AI Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics Strong proficiency in Python; working knowledge of Java or another enterprise language Proficiency in object-oriented design techniques and principles Experience with cloud platforms (Azure, AWS, or GCP) and cloud-native development patterns Experience with CI/CD pipelines and DevOps toolchain: Git, GitHub, Jenkins, ADO Pipelines, or equivalent Experience with RESTful API design and integration patterns (JSON, microservices) Experience in Agile methodologies, such as SCRUM What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Member Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer (Generative AI & Agentic Systems) for a contract position with a Global Financial Institution located in Pennington, NJ. This is a 12+ month contract opportunity. We are seeking an Advanced Python Engineer with specialized expertise in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems. In this role, you will design, build, and scale production-grade LLM applications, leveraging modern agentic frameworks to power intelligent enterprise solutions. Key Responsibilities: Architect and scale advanced Retrieval-Augmented Generation (RAG) pipelines, including custom chunking, hybrid search, embedding optimization, and reranking mechanisms Build complex, stateful multi-agent systems and autonomous workflows using frameworks such as LangGraph and Deepagents Orchestrate and monitor using LangChain for robust LLM integration and LangSmith for tracing, evaluation, debugging, and performance monitoring of production LLM pipelines Write clean, modular, highly efficient, and maintainable Python code adhering to modern standards (asynchronous programming, strict typing, and robust error handling) Connect LLM agents and workflows with external data sources, enterprise APIs, vector databases, and developer tooling Optimize token usage, latency, and operational costs across LLM-driven applications without compromising response quality or accuracy Requirements: Advanced, production-level proficiency in Python (asyncio, design patterns, profiling, and testing) Demonstrated hands-on production experience with one or more of the following: LangChain, LangGraph, LangSmith, Deepagents Deep working knowledge of RAG pipelines, prompt engineering strategies, and integration with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, or pgvector) Familiarity with major LLM providers (OpenAI, Anthropic, open-source models via Hugging Face/Ollama) and function-calling / tool-use architectures Experience with Git, CI/CD pipelines, containerization (Docker), and cloud environments (AWS, GCP, or Azure) Pay range: $55.06 - $63.06 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/13/2026
Full time
Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer (Generative AI & Agentic Systems) for a contract position with a Global Financial Institution located in Pennington, NJ. This is a 12+ month contract opportunity. We are seeking an Advanced Python Engineer with specialized expertise in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems. In this role, you will design, build, and scale production-grade LLM applications, leveraging modern agentic frameworks to power intelligent enterprise solutions. Key Responsibilities: Architect and scale advanced Retrieval-Augmented Generation (RAG) pipelines, including custom chunking, hybrid search, embedding optimization, and reranking mechanisms Build complex, stateful multi-agent systems and autonomous workflows using frameworks such as LangGraph and Deepagents Orchestrate and monitor using LangChain for robust LLM integration and LangSmith for tracing, evaluation, debugging, and performance monitoring of production LLM pipelines Write clean, modular, highly efficient, and maintainable Python code adhering to modern standards (asynchronous programming, strict typing, and robust error handling) Connect LLM agents and workflows with external data sources, enterprise APIs, vector databases, and developer tooling Optimize token usage, latency, and operational costs across LLM-driven applications without compromising response quality or accuracy Requirements: Advanced, production-level proficiency in Python (asyncio, design patterns, profiling, and testing) Demonstrated hands-on production experience with one or more of the following: LangChain, LangGraph, LangSmith, Deepagents Deep working knowledge of RAG pipelines, prompt engineering strategies, and integration with vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant, or pgvector) Familiarity with major LLM providers (OpenAI, Anthropic, open-source models via Hugging Face/Ollama) and function-calling / tool-use architectures Experience with Git, CI/CD pipelines, containerization (Docker), and cloud environments (AWS, GCP, or Azure) Pay range: $55.06 - $63.06 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fellow, Integrated Solutions & Ecosystem Architecture Description - Why this role is critical to HP The next generation of personal computing will be defined across company boundaries. Silicon, operating systems, AI platforms, memory, security, cloud services, firmware and device experiences increasingly evolve on independent roadmaps, yet must operate as one integrated system in the products customers use. HP is seeking a Technical Fellow to serve as the senior technical leader for partner architecture and ecosystem engineering across Personal Systems. This leader will work directly with HP's most strategic technology partners and with engineering teams across HP to turn separate technology roadmaps into integrated, multi-generation product architectures. The role will shape joint technical direction, establish the architectural interfaces and commitments required across organizations, identify where HP should build, integrate or co-engineer, and drive the technology workstreams needed to convert capabilities into differentiated products. This is a critical hands-on senior technical leadership role accountable for architecture, roadmap convergence, technical decisions and co-engineering outcomes across company boundaries. Key responsibilities Lead HP's technical architecture engagement with strategic ecosystem partners across silicon, operating systems, AI platforms, memory and storage, cloud, device technologies and system software. Create integrated multi-generation technology roadmaps connecting partner capabilities, HP engineering priorities and future product requirements; identify dependencies, gaps and critical decisions early enough to influence both HP and partner roadmaps. Define HP's technical asks to partners. Translate customer needs, system requirements and architectural direction into specific partner capabilities, interfaces, engineering commitments and product intercepts. Drive common architecture and leverage across the Personal Systems portfolio. Establish where platforms, interfaces, software components, firmware capabilities, validation methods and system technologies should be common and reusable, while preserving meaningful product differentiation. Lead architecture across organizational boundaries inside HP. Connect device engineering with HP-wide AI, software, security, manageability, services and experience teams so independently developed capabilities come together as complete system solutions. Drive joint technology workstreams from concept through engineering commitment. Establish clear technical outcomes, owners, dependencies, milestones and acceptance criteria with internal teams and external partners; ensure promising technologies progress beyond demonstrations into product-ready capabilities. Shape HP's architecture for next-generation AI and agentic computing. Drive system-level decisions spanning CPU/GPU/NPU execution, memory, power, thermals, firmware, operating systems, AI runtimes, security, manageability and device-edge-cloud integration. Resolve complex cross-company architecture tradeoffs. Provide senior technical judgment where performance, cost, power, memory, security, roadmap timing, product requirements and independently managed partner priorities conflict. Represent HP as a senior technical counterpart with industry leaders. Engage partner CTOs, Fellows, architects and engineering executives to influence technology direction, establish joint priorities and secure engineering commitments. Build HP's partner-architecture capability and technical bench. Lead and mentor a small team of senior architects and technical leaders, develop future technical talent and strengthen HP's ability to operate credibly at the highest levels of the industry. What success looks like HP influences partner roadmaps earlier. Important HP requirements appear in partner architectures, engineering plans and future technology releases rather than being addressed after roadmaps are fixed. Partner engagement produces engineering outcomes. Joint work results in committed resources, interfaces, technology deliverables, reference implementations and capabilities that reach HP products. Architecture converges earlier across HP and its partners. Dependencies and technical tradeoffs are resolved before they become late product issues, reducing duplicated work, redesign and schedule risk. HP gains greater leverage from common architecture. Reusable system capabilities, interfaces and validation approaches are adopted across multiple product lines and generations. Emerging technology translates into product differentiation. New silicon, software, AI and ecosystem capabilities move systematically from evaluation to co-engineering to product adoption. HP becomes a stronger technical voice in the ecosystem. Strategic partners increasingly engage HP as a technology co-designer whose requirements and architecture help shape future platforms. HP builds deeper technical leadership. Senior architecture expertise grows inside the company, with a stronger bench and succession pipeline for critical technical roles. Required experience and capabilities Exceptional record of technical leadership across complex, large-scale computing platforms or product ecosystems. Deep systems architecture expertise spanning several of the following: silicon, operating systems, firmware, system software, AI/ML systems, memory, security, manageability, cloud/edge computing and hardware platforms. Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners. Proven ability to turn emerging technologies and architectural concepts into shipping platforms, products or broadly deployed capabilities. Experience negotiating consequential technical tradeoffs across companies and organizations with different priorities, roadmaps and business models. Strong understanding of system-level performance and the interactions among compute, memory, power, thermals, firmware, software and workload behavior. Executive presence and technical credibility to work effectively with CTOs, Fellows, senior engineering executives and business leaders. Ability to operate effectively with incomplete information, rapidly changing technology and complex organizational dependencies while still driving decisions and execution. Demonstrated ability to lead through influence across organizations where direct reporting authority does not exist. Track record of attracting, mentoring and developing exceptional senior technical talent. Preferred experience Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge or large-scale device organizations. Experience working directly with major silicon, operating-system, AI, memory, cloud and device-ecosystem companies. Experience spanning both technology creation and productization-not solely research, standards or product execution. Experience with multi-platform architectures involving multiple silicon vendors, operating environments and product categories. Experience developing joint reference architectures, co-engineering programs, industry standards or major partner-dependent technology initiatives. Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience. The pay range for this role is $350,000 to $450,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status . click apply for full job details
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fellow, Integrated Solutions & Ecosystem Architecture Description - Why this role is critical to HP The next generation of personal computing will be defined across company boundaries. Silicon, operating systems, AI platforms, memory, security, cloud services, firmware and device experiences increasingly evolve on independent roadmaps, yet must operate as one integrated system in the products customers use. HP is seeking a Technical Fellow to serve as the senior technical leader for partner architecture and ecosystem engineering across Personal Systems. This leader will work directly with HP's most strategic technology partners and with engineering teams across HP to turn separate technology roadmaps into integrated, multi-generation product architectures. The role will shape joint technical direction, establish the architectural interfaces and commitments required across organizations, identify where HP should build, integrate or co-engineer, and drive the technology workstreams needed to convert capabilities into differentiated products. This is a critical hands-on senior technical leadership role accountable for architecture, roadmap convergence, technical decisions and co-engineering outcomes across company boundaries. Key responsibilities Lead HP's technical architecture engagement with strategic ecosystem partners across silicon, operating systems, AI platforms, memory and storage, cloud, device technologies and system software. Create integrated multi-generation technology roadmaps connecting partner capabilities, HP engineering priorities and future product requirements; identify dependencies, gaps and critical decisions early enough to influence both HP and partner roadmaps. Define HP's technical asks to partners. Translate customer needs, system requirements and architectural direction into specific partner capabilities, interfaces, engineering commitments and product intercepts. Drive common architecture and leverage across the Personal Systems portfolio. Establish where platforms, interfaces, software components, firmware capabilities, validation methods and system technologies should be common and reusable, while preserving meaningful product differentiation. Lead architecture across organizational boundaries inside HP. Connect device engineering with HP-wide AI, software, security, manageability, services and experience teams so independently developed capabilities come together as complete system solutions. Drive joint technology workstreams from concept through engineering commitment. Establish clear technical outcomes, owners, dependencies, milestones and acceptance criteria with internal teams and external partners; ensure promising technologies progress beyond demonstrations into product-ready capabilities. Shape HP's architecture for next-generation AI and agentic computing. Drive system-level decisions spanning CPU/GPU/NPU execution, memory, power, thermals, firmware, operating systems, AI runtimes, security, manageability and device-edge-cloud integration. Resolve complex cross-company architecture tradeoffs. Provide senior technical judgment where performance, cost, power, memory, security, roadmap timing, product requirements and independently managed partner priorities conflict. Represent HP as a senior technical counterpart with industry leaders. Engage partner CTOs, Fellows, architects and engineering executives to influence technology direction, establish joint priorities and secure engineering commitments. Build HP's partner-architecture capability and technical bench. Lead and mentor a small team of senior architects and technical leaders, develop future technical talent and strengthen HP's ability to operate credibly at the highest levels of the industry. What success looks like HP influences partner roadmaps earlier. Important HP requirements appear in partner architectures, engineering plans and future technology releases rather than being addressed after roadmaps are fixed. Partner engagement produces engineering outcomes. Joint work results in committed resources, interfaces, technology deliverables, reference implementations and capabilities that reach HP products. Architecture converges earlier across HP and its partners. Dependencies and technical tradeoffs are resolved before they become late product issues, reducing duplicated work, redesign and schedule risk. HP gains greater leverage from common architecture. Reusable system capabilities, interfaces and validation approaches are adopted across multiple product lines and generations. Emerging technology translates into product differentiation. New silicon, software, AI and ecosystem capabilities move systematically from evaluation to co-engineering to product adoption. HP becomes a stronger technical voice in the ecosystem. Strategic partners increasingly engage HP as a technology co-designer whose requirements and architecture help shape future platforms. HP builds deeper technical leadership. Senior architecture expertise grows inside the company, with a stronger bench and succession pipeline for critical technical roles. Required experience and capabilities Exceptional record of technical leadership across complex, large-scale computing platforms or product ecosystems. Deep systems architecture expertise spanning several of the following: silicon, operating systems, firmware, system software, AI/ML systems, memory, security, manageability, cloud/edge computing and hardware platforms. Demonstrated experience shaping multi-generation technology roadmaps with major external technology partners. Proven ability to turn emerging technologies and architectural concepts into shipping platforms, products or broadly deployed capabilities. Experience negotiating consequential technical tradeoffs across companies and organizations with different priorities, roadmaps and business models. Strong understanding of system-level performance and the interactions among compute, memory, power, thermals, firmware, software and workload behavior. Executive presence and technical credibility to work effectively with CTOs, Fellows, senior engineering executives and business leaders. Ability to operate effectively with incomplete information, rapidly changing technology and complex organizational dependencies while still driving decisions and execution. Demonstrated ability to lead through influence across organizations where direct reporting authority does not exist. Track record of attracting, mentoring and developing exceptional senior technical talent. Preferred experience Senior architecture leadership in personal computing, semiconductor, operating-system, AI-platform, cloud/edge or large-scale device organizations. Experience working directly with major silicon, operating-system, AI, memory, cloud and device-ecosystem companies. Experience spanning both technology creation and productization-not solely research, standards or product execution. Experience with multi-platform architectures involving multiple silicon vendors, operating environments and product categories. Experience developing joint reference architectures, co-engineering programs, industry standards or major partner-dependent technology initiatives. Advanced degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline, or equivalent depth of industry experience. The pay range for this role is $350,000 to $450,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Engineering Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status . click apply for full job details
This job is with Capco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) Practice Area: Technology & Engineering Type: Permanent Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies. The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences. This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies. What You'll Do Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks. Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems. Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products. Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions. What We're Looking For 2-3 years of professional software; AI engineering experience. Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models. Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications. Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools. Experience deploying containerized applications using Docker and Kubernetes. Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects. Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions. Work in a collaborative, flat, and entrepreneurial consulting culture. Access continuous learning, training, and industry certifications. Be part of a team shaping the future of digital financial services. Help shape the future of digital transformation across FS & Energy. Benefits Medical, Dental, and Vision coverage. 401(k) with company match. Maternity and paternity leave, plus dependent care support. Tuition reimbursement, wellness reimbursement, HSA and FSA options. Commuter benefits and access to the Working Advantage employee discount marketplace. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
11/13/2026
Full time
This job is with Capco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) Practice Area: Technology & Engineering Type: Permanent Build the next generation of AI-powered solutions using Large Language Models, agentic systems, and cutting-edge Generative AI technologies. The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences. This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies. What You'll Do Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks. Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems. Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products. Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions. What We're Looking For 2-3 years of professional software; AI engineering experience. Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models. Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications. Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools. Experience deploying containerized applications using Docker and Kubernetes. Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects. Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions. Work in a collaborative, flat, and entrepreneurial consulting culture. Access continuous learning, training, and industry certifications. Be part of a team shaping the future of digital financial services. Help shape the future of digital transformation across FS & Energy. Benefits Medical, Dental, and Vision coverage. 401(k) with company match. Maternity and paternity leave, plus dependent care support. Tuition reimbursement, wellness reimbursement, HSA and FSA options. Commuter benefits and access to the Working Advantage employee discount marketplace. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime & Performance Lead Description - As the Principal AI Runtime & Performance Lead, this role is responsible for leading AI runtime architecture, performance optimization, and xPU execution strategy. This role is responsible for the design of end-to-end technology solutions necessary to support the business strategy and objectives. The role develops innovative technology solutions that enable strategic initiatives to scale the business efficiently. The role has strong focus on software development and operational excellence using Agile and lean practices to create market differentiated solutions. Houston office in-office requirement: 4 days Responsibilities • Define runtime architecture. • Lead performance optimization efforts. • Drive benchmark methodology. • Develop model execution strategies. • Plays a critical role in building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Leads the building of standards, designs, and automates the deployment of software. • Drives technology strategy and engineering roadmaps around software engineering. • Assists supervisors with project development, including documentation of features, recording of progress, and creation of the testing plan. • Converts business concepts into the next generation of applications and tools, utilizing adaptive agile methodologies to deliver a minimal viable product to the business. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Contributes innovative ideas and may lead large cross-functional teams, exercising independent judgment to solve unique and complex problems impacting the business. • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. • Provides mentorship and guidance to lower-level employees. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong Linux and Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime & Performance Lead Description - As the Principal AI Runtime & Performance Lead, this role is responsible for leading AI runtime architecture, performance optimization, and xPU execution strategy. This role is responsible for the design of end-to-end technology solutions necessary to support the business strategy and objectives. The role develops innovative technology solutions that enable strategic initiatives to scale the business efficiently. The role has strong focus on software development and operational excellence using Agile and lean practices to create market differentiated solutions. Houston office in-office requirement: 4 days Responsibilities • Define runtime architecture. • Lead performance optimization efforts. • Drive benchmark methodology. • Develop model execution strategies. • Plays a critical role in building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Leads the building of standards, designs, and automates the deployment of software. • Drives technology strategy and engineering roadmaps around software engineering. • Assists supervisors with project development, including documentation of features, recording of progress, and creation of the testing plan. • Converts business concepts into the next generation of applications and tools, utilizing adaptive agile methodologies to deliver a minimal viable product to the business. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Contributes innovative ideas and may lead large cross-functional teams, exercising independent judgment to solve unique and complex problems impacting the business. • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. • Provides mentorship and guidance to lower-level employees. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong Linux and Windows expertise. • Experience leading cross-functional engineering teams. Preferred Qualifications • Edge AI platforms. • Device telemetry systems. • Firmware integration experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI Systems Evaluation Engineer Description - This role is responsible for defining measurement methodology and benchmarks to quantify customer outcomes, platform performance, and AI workload effectiveness ensuring the technical design, development, installation, and maintenance of state-of-the-art software applications and services for our products. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. The role builds & maintains relationships with stakeholders across different departments and provide guidance & coaching to reportees in executing their tasks/responsibilities. Houston in-office requirement: 4-days Responsibilities • Define success metrics. • Create benchmarking frameworks. • Analyze customer outcomes. • Produce executive performance reports. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Interacts with user management regarding project status and user requirements to promote an environment with improved productivity and satisfaction. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. • Identifies, recommends and implements changes to enhance effectiveness of engineering, implementation and service strategies Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Statistics, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong analytical skills • Experience with benchmarking methodologies Preferred Qualifications AI systems evaluation. Telemetry analytics Performance benchmarking. Linux and Windows validation experience Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI Systems Evaluation Engineer Description - This role is responsible for defining measurement methodology and benchmarks to quantify customer outcomes, platform performance, and AI workload effectiveness ensuring the technical design, development, installation, and maintenance of state-of-the-art software applications and services for our products. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. The role builds & maintains relationships with stakeholders across different departments and provide guidance & coaching to reportees in executing their tasks/responsibilities. Houston in-office requirement: 4-days Responsibilities • Define success metrics. • Create benchmarking frameworks. • Analyze customer outcomes. • Produce executive performance reports. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Interacts with user management regarding project status and user requirements to promote an environment with improved productivity and satisfaction. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. • Identifies, recommends and implements changes to enhance effectiveness of engineering, implementation and service strategies Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Statistics, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong analytical skills • Experience with benchmarking methodologies Preferred Qualifications AI systems evaluation. Telemetry analytics Performance benchmarking. Linux and Windows validation experience Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.
11/13/2026
Full time
This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime / ML Model Systems Engineer Description - This role is responsible for developing runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources In this role, you will ensure the technical design, development, installation, and maintenance of state-of-the-art software applications and services for the company. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. Houston in-office requirement: 4 days Responsibilities • Build runtime abstraction frameworks. • Implement model placement policies. • Develop xPU routing logic. • Optimize inference execution. • Leads the building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Builds standards, designs, and automates the deployment of software. • Designs and develops solutions that protect and manage software products and data. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong AI runtime expertise. • Optimize inference execution. Required Qualifications • ONNX, TensorRT, OpenVINO. • NPU/GPU scheduling. • Edge AI deployment. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API ) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime / ML Model Systems Engineer Description - This role is responsible for developing runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources In this role, you will ensure the technical design, development, installation, and maintenance of state-of-the-art software applications and services for the company. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. Houston in-office requirement: 4 days Responsibilities • Build runtime abstraction frameworks. • Implement model placement policies. • Develop xPU routing logic. • Optimize inference execution. • Leads the building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Builds standards, designs, and automates the deployment of software. • Designs and develops solutions that protect and manage software products and data. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong AI runtime expertise. • Optimize inference execution. Required Qualifications • ONNX, TensorRT, OpenVINO. • NPU/GPU scheduling. • Edge AI deployment. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API ) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
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 We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality 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. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices 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 $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees 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 . click apply for full job details
11/13/2026
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 We're looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users. Every message Braze sends goes through our pipelines, which process billions of users per day. We are a fast-paced team working close to customers in a core and high-impact area of our product. You will create and own complex systems end to end, from the segmentation engine and data pipelines through the APIs and the dashboard experience customers use every day, at the scale demanded by some of the biggest brands in the world. You will have a say in what the team builds as well as how it gets built. Architecture, performance, and cost are constant considerations, but your success will be measured by the value you unlock for customers. Your responsibilities will include: Architect & Build: conceive, design, and implement large-scale systems and services that handle massive data volumes and complex workloads in real time. This includes extending our ClickHouse pipeline to support new filters and attributes Own the Product: partner with product to define what gets built and why, then keep improving it after launch as you learn how customers actually use it Own Core Systems: take ownership of the complex backend systems behind Braze segmentation, continuously improving their performance, reliability, and cost-effectiveness Mentor & Influence: lead by example and mentor engineers on best practices in software design, coding, and operations Collaborate Cross-Functionally: work closely with other engineering teams, product managers, and stakeholders to ensure segmentation systems are effectively integrated and aligned with business objectives Innovate & Optimize: continuously identify opportunities to improve our systems, research new technologies, and advocate for their adoption where appropriate Maintain & Evolve: support and refine operational procedures (alerts, on-call rotation, troubleshooting playbooks) to maximize system stability and quality 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. WHO YOU ARE Extensive Software Engineering experience: 7+ years of professional experience, including hands-on work in full-stack development or back-end services, particularly with high-scale, high-throughput systems Product Ownership at Scale: proven track record of delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption. You can point to what customers or the business gained, not only what the system did Systems at Scale: proven track record of building foundational data-driven systems at scale: whether streaming, real-time pipelines, or large-scale data platforms Technical Leadership: skilled at driving architectural direction, scoping large efforts, and effectively managing technical debt. Known for precise communication of complex technical concepts and a willingness to drive major technical initiatives Strong Fundamentals: deep understanding of software design, data structures, and algorithms Self-Starter: great communication and organizational skills, with a history of thriving in team environments Bonus points: Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions Cloud Technologies: experience with container orchestration (Kubernetes), and cloud services (AWS, GCP, Azure) Architecture: experience with distributed systems, API design, monitoring, and best practices 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 $184,000 and $314,079 annually with an expected On Target Earnings (OTE) between $204,000 - $348,000/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, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees 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 . 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): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
11/13/2026
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): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
