AI Engineer - Sr Lead Software Engineer
JPMorgan Chase2 months ago
Responsibilities
- Provide technical guidance to business and engineering teams, align priorities, remove blockers, and drive engineering outcomes.
- Develop secure production code, lead code reviews, and debug and improve code written by others.
- Drive architecture, application design, technical operations, and software development lifecycle decisions.
- Build and operate production-grade LLM applications using agentic patterns, tools, skills, and human-in-the-loop workflows.
- Design and deliver scalable, resilient cloud-native services on AWS using container and serverless architectures.
- Implement RAG solutions involving embeddings, semantic search, and context engineering.
- Build reliable, secure, performant, and maintainable service APIs and integrations.
- Drive adoption and governance of approved AI-assisted engineering practices, including validation standards, auditability, secure data handling, automation, and reuse across teams.
- Evaluate emerging technologies, influence technical roadmaps, resolve complex problems, and serve as a subject matter expert.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Strong Python engineering skills and experience with PyTorch or TensorFlow.
- Expertise with vector storage systems and designing agent memory.
- Experience developing long-running autonomous agents using tools, skills, and human-in-the-loop controls.
- Production experience deploying LLM-backed APIs and services.
- Deep MLOps experience covering monitoring, incident response, model governance, and software delivery automation.
- Cloud-native AI deployment experience with AWS or Azure, including cost and performance optimization.
- Knowledge of responsible AI, security, resiliency, data sensitivity, risk-based governance, and operational excellence.
- Experience leading adoption of agentic AI-enabled development practices with standards for validation, traceability, and secure handling of sensitive data.
- Strong communication and collaboration skills across product, risk, legal, and compliance teams.
- Preferred qualifications include fine-tuning, adapters, custom evaluation frameworks, regulated-environment AI operations, prompt engineering, LLM orchestration, safety filters, audit logging, explainability, mentoring, and architecture leadership.
Benefits
- Competitive total rewards and benefits package, with eligibility-based health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity; compensation details are provided during the hiring process.
- JPMorganChase provides equal employment opportunity, values diversity and inclusion, and offers reasonable accommodations.
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.