SR Principal Software Engineer - Applied AI
Core
Lead the execution of an AI-native SDLC and PDLC model, operationalizing agentic patterns and toolchains to reduce developer toil and scale production adoption of autonomous engineering capabilities.
Role type
Senior Principal Software Engineer (Applied AI / Engineering Operations)
Builds
AI-enabled production capabilities for software and product development lifecycle
Domain
Financial Services / Applied AI / Software Engineering
Required skills
AI/LLM expertise, agentic systems, tool orchestration, cross-functional leadership, responsible AI governance, stakeholder alignment, talent management, system design, security at scale
Preferred skills
code-level experience, on-premise and cloud-native ecosystems (AWS EKS, Glue, S3), modern data architectures, secure SDLC practices, API-first design, analytics and experimentation
Technologies
Agentic AI, LLM, MCP, AWS, Cloud, Security (via careerplan.io/jobs/gbfb76d6-sr-principal-software-engineer-applied-ai-at-j-p-morgan)
Responsibilities
Lead AI-native SDLC execution across architecture, coding, security, testing, and release; operationalize agentic patterns and LLM orchestration; ensure responsible AI practices via guardrails and monitoring; partner with development leaders to identify and scale high-impact use cases; translate workflows into AI-enabled capabilities; drive alignment with stakeholders on control design and rollout strategy; lead technology implementations across departments; manage multiple areas with strategic focus; engage senior leaders to build consensus; set multi-department strategy for agentic AI automation; apply SDLC toolchain knowledge to promote cross-domain reuse.
Seniority
Principal, hands-on IC with strategic leadership
