Sr Principal Software Engineer - Applied AI Engineering

Role Overview

Job Responsibilities

• Lead the execution of an AI-native SDLC and PDLC model across architecture, coding, security, testing, release, and observability phases.
• Operationalize agentic patterns and toolchains, including LLM orchestration, skills, context engineering, and MCP-based integrations.
• Ensure responsible AI practices in production: guardrails, evaluation, monitoring, and auditable workflows.
• Partner with App Dev leaders and platform owners to identify high-impact use cases, validate value, and scale production adoption.
• Translate engineering workflows into AI-enabled production capabilities (assistive to autonomous) that materially reduce developer toil.
• Drive alignment with GT/LOB stakeholders on control design, security approvals, platform standards, and rollout approach.
• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives.
• Directly manage multiple areas with strategic transactional focus.
• Interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives.
• Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation to drive firmwide objectives.
• Applies knowledge of tools within the Software Development Life Cycle toolchain to drive cross-domain reuse and measurable capacity unlock outcomes across departments.

Required Qualifications, Skills, and Capabilities

• Formal training or certification on software engineering concepts and 10+ years applied experience.
• Deep expertise in AI/LLMs and their application to software engineering workflows (coding, design, security, testing, release).
• Hands-on experience with agentic systems, tool/skill orchestration, and integration patterns (e.g., MCP, A2A, function/tool calling).
• Proven ability to lead cross-functional engineering delivery amid ambiguity, roadmap definition, backlog, dependency management, and stakeholder alignment.
• Strong communicator with executive-level stakeholder management, able to translate between engineering depth and business outcomes.
• Experience leading multi-organization adoption of agentic AI-enabled engineering operating models including defining governance, measurement frameworks, and secure handling of sensitive inputs/outputs.
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale.
• Experience leading complex projects supporting system design, testing, and operational stability.
• Experience with hiring, developing, and recognizing talent.
• Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred Qualifications, Skills, and Capabilities

• Experience working at code level.
• Experience with on-prem, cloud-native ecosystems and AWS services (e.g., EKS, Glue, S3).
• Familiarity with modern data architectures and sharing patterns, data contracts/entitlements, and cost optimization.
• Experience with secure SDLC practices and developer security tooling and vulnerability management metrics.
• API-first production design and integration patterns; strong analytics and experimentation discipline.

Compensation and Benefits

• Competitive total rewards package including base salary determined based on role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation.
• Benefits include comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.

About JPMorganChase

Equal Opportunity

• JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
• Reasonable accommodations available for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.