AI-Native SDLC Lead & Principal Software Engineer

Next Frontier Capital

Palo Alto (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

JPMorganChase seeks a Senior Principal Software Engineer to lead AI-enabled engineering initiatives within the Commercial and Investment Bank Payments Technology team. You will drive the implementation of AI into production workflows, overseeing secure, scalable delivery across departments and influencing senior leaders on governance and best practices.

The role emphasizes deep AI expertise, leadership across matrixed teams, and delivering measurable productivity gains while maintaining risk

Qualifications

  • 10+ years applied software engineering experience.
  • Deep expertise in AI/LLMs and their application to software engineering workflows.

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 that reduce developer toil.

Skills

AI/LLMs
Agentic systems
Stakeholder management
Cross-functional leadership
Secure SDLC

Education

Computer Science

Tools

MCP patterns
LLM orchestration tools

Job description

JPMorganChase seeks a Senior Principal Software Engineer to lead AI-enabled engineering initiatives within the Commercial and Investment Bank Payments Technology team. You will drive the implementation of AI into production workflows, overseeing secure, scalable delivery across departments and influencing senior leaders on governance and best practices.

The role emphasizes deep AI expertise, leadership across matrixed teams, and delivering measurable productivity gains while maintaining risk

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