Senior Principal Software Engineer AI Foundation Services
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Job Summary
If you are looking for a game-changing career working for one of the worlds leading financial institutions youve come to the right place.
As a Senior Principal Software Engineer at JPMorganChase within AMDP/CDAO you will serve as a hands-on thought leader and builder for AI Foundation Servicesthe scaled secure performance-optimized infrastructure that enables large-scale GenAI and traditional AI/ML across Lines of Business. You will partner directly with Lines of Business application teams to synthesize requirements into implementable designs co-develop solutions through launch and early operations and de-risk delivery across performance scale reliability and security. You will also drive firmwide reuse through shared reference architectures playbooks test harnesses and GPU training/serving baselines raising the engineering bar and accelerating adoption across the portfolio.
Job responsibilities
- Leads as a hands-on technical thought leader to build integrate and optimize AI Foundation Services infrastructure for GenAI and traditional AI/ML platforms
- Co-develops with Lines of Business (LOB) application teams to deliver reusable AI/ML foundational services and managed service patterns
- Synthesizes Lines of Business (LOB) requirements into implementable designs and drives delivery from design through launch and early operational support
- De-risks delivery across performance scale reliability and security by defining non-functional requirements testing strategies and operational readiness criteria
- Drives reuse and standardization through shared reference architectures playbooks test harnesses and GPU training/serving baselines for model hosting platforms
- Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed reliability and code quality (e.g. AI-orchestrated SDLC/TLM automation release readiness gating incident triage/root-cause acceleration and large-scale refactoring/test modernization) while defining guardrails for validation security resiliency and reuse across teams and functions.
- Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation at scale
- Advises and leads on the strategy and development of multiple products applications and technologies across a portfolio by creating novel code solutions and drives the development of new production code capabilities across teams and functions
- Translates highly complex technical issues trends and approaches to leadership to drive the firms innovation and enable leaders to make strategic well-informed decisions about technological advancements
- Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies
- Influences across business product and technology teams and successfully manages senior stakeholder relationships
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 10 years applied experience
- Proven hands-on experience designing and operating AI/ML platform capabilities (model training serving feature/data access patterns and multi-tenant controls)
- Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions including establishing governance for human-in-the-loop validation traceability/auditability and secure handling of sensitive inputs/outputs.
- Strong understanding of responsible AI use and control expectations at scale including security/resiliency implications data sensitivity and risk-based governance; ability to advise senior leaders on safe adoption reuse and measurable outcomes.
- Demonstrated expertise in performance engineering and production reliability (capacity planning load testing Service Level Objective (SLOs) /Service Level Indicator (SLIs) incident response and root-cause remediation)
- Strong experience with cloud-native architecture (Kubernetes containers CI/CD infrastructure-as-code using Terraform) and secure-by-design engineering practices
- Ability to lead end-to-end technical engagements with senior stakeholders translating requirements into delivered services with clear milestones and acceptance criteria
- Practical experience delivering system design application development testing and operational stability
- Demonstrated prior experience with influencing across functions and teams and delivering value at scale
- Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines
- Extensive practical cloud native experience
- Experience building GPU-backed model hosting platforms and optimizing inference/training performance (profiling batching caching parallelism and cost controls)
- Experience implementing reusable reference architectures and developer enablement assets (golden paths templates playbooks and automated test harnesses)
- Experience with LLM and model serving stacks (e.g. routing autoscaling model gateways online evaluation and guardrails) in production environments
- Experience operating in regulated environments with strong controls (security reviews threat modeling audit readiness and data governance)
Required Experience:
Staff IC
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
