Senior Lead Software Engineer, AI-Driven Risk Platforms

JPMorgan Chase & Co.; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Software Engineer within the Chief Technology Office - Risk, Control & Regulatory to propel risk-aware technology products.

You will join an agile team to build secure, scalable Python data pipelines and AI-enabled services, delivering reliable production systems with strong engineering practices. You will own full-stack development, implement RAG and agent orchestration, integrate with internal systems via REST/WebSocket, and drive code quality,

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong hands-on system design and application development skills with production ownership.
• Advanced Python proficiency (3.10+), dataclasses, type hints, generators/streaming, CLI frameworks.

Responsibilities

• Drives adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Build and maintain the full-stack Python toolkit and data products powering agentic risk-oversight workflows.
• Implement LLM-based services, including retrieval-augmented generation (RAG), tool/function calling, agent and skill orchestration, prompt/version management, and evaluation/guardrails.
• Develop authenticated integrations and APIs to internal systems (REST and streaming/WebSocket), handling cookie/CSRF/Kerberos/SSO auth, pagination, retry/backoff, and TLS.
• Work on data pipelines with Data Scientists to stream and normalize large datasets and join across sources against large schemas.
• Write secure, high-quality production code and comprehensive tests; contribute to code reviews with focus on maintainability and security.
• Build observability into services (logs/metrics/tracing), troubleshoot production issues, and automate remediation for recurring problems.
• Implement safe-by-default patterns for AI features (bounded tool use, validation, timeouts, audit trails).
• Generate audience-ready outputs, including self-contained interactive HTML dashboards and structured evidence packages for risk stakeholders.
• Collaborate with Product/Risk/Controls/Compliance and data teams to refine requirements and deliver iteratively.
• Use enterprise AI-assisted engineering tools responsibly to accelerate delivery while validating outputs.

Skills

Advanced Python

SQL & data modeling

Generative AI/LLM

REST & WebSocket APIs

Distributed systems

CI/CD practices

Security-by-design

Observability & debugging

Tools

PostgreSQL

Git

pytest

REST API

WebSocket

Job description

JPMorgan Chase & Co. seeks a Senior Lead Software Engineer within the Chief Technology Office - Risk, Control & Regulatory to propel risk-aware technology products.

You will join an agile team to build secure, scalable Python data pipelines and AI-enabled services, delivering reliable production systems with strong engineering practices. You will own full-stack development, implement RAG and agent orchestration, integrate with internal systems via REST/WebSocket, and drive code quality,