AI ML Engineering Analyst
Role details
Job location
Tech stack
Job description
As an AI/ML Engineer in Wholesale Payments Operations, you will design, implement, and deploy high-quality solutions for the complex business problems we face at JPMorganChase. We have rewarding technical challenges, large data sets, and a tremendous opportunity for innovative AI/ML work, including NLP, document understanding, agentic system design, and AI-assisted development. You'll draw on strong software engineering fundamentals and modern AI techniques to deliver commercially impactful, production-grade solutions. The ideal candidate will have a deep understanding of design patterns, Python programming, cloud infrastructure, and the emerging discipline of prompt engineering and AI-augmented development., * Learn Wholesale Payments Operations workflows deeply, identify high-impact opportunities, and translate ambiguous problems into clear solutions with measurable outcomes.
- Design, implement, and deploy AI/ML services to cloud infrastructure with production-quality reliability, monitoring, and operational readiness.
- Build and maintain data pipelines that enable repeatable training, evaluation, and continuous improvement of models in production.
- Apply AI/ML techniques across text and documents (e.g., NLP, document analysis, text/image classification, OCR) to create automated decisioning and workflow augmentation solutions.
- Use AI coding assistants effectively (e.g., GitHub Copilot, Claude Code, or firm-approved equivalents) to accelerate delivery while maintaining engineering rigor: readability, tests, security-mindedness, and maintainability.
- Prompt engineer and iterate systematically: write, test, and refine prompts; develop evaluation strategies; and document prompt patterns to make AI behaviors reproducible and reviewable.
- Design agentic systems where appropriate: decompose tasks, define tool interfaces, add safeguards, and measure quality/latency/cost tradeoffs to ensure controllable, production-ready automation.
- Refactor code, write tests, and uphold code quality metrics so models and services remain robust as products scale.
- Analyze and evaluate ongoing model and service performance, diagnose failure modes, and drive continuous improvements., J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Requirements
Do you have experience in Tooling?, Do you have a Bachelor's degree?, We're looking for enthusiastic, bright, and personable people with strong communication skills, a collaborative working style, and a passion for shipping real AI solutions. We value people who take ownership, seek feedback, and make the team around them better., * Bachelor's degree in Computer Science or a related field.
- 2+ years of hands-on Python experience with a proven ability to build production-grade software (APIs/services, testing, refactoring).
- 1+ year of hands-on experience deploying to cloud infrastructure (AWS or equivalent) and working within production constraints (latency, reliability, observability).
- Strong object-oriented design and concurrency fundamentals.
- Practical experience applying AI/ML techniques (e.g., text mining, document analysis, classification, OCR) and evaluating model quality in real-world settings.
- Track record of independently driving solutions from problem framing through deployment and iteration, with measurable outcomes.
- Proficiency using AI coding tools (e.g., GitHub Copilot, Claude Code) to increase development throughput while preserving code quality.
- Working knowledge of prompt engineering: ability to design, test, and iterate on prompts for repeatable, high-quality AI outputs.
- Strong communication skills and a collaborative, team-first working style., * AWS (or equivalent) beyond basics, including managed ML platforms such as SageMaker (or equivalent) for training and deployment workflows.
- Experience building LLM-powered solutions, including designing agentic workflows with measurable evaluation and guardrails.
- Track record of accelerating delivery using AI-assisted development while maintaining high engineering standards (tests, refactoring discipline, production readiness).
- Experience productionizing NLP and/or document understanding solutions at scale.
Benefits & conditions
Pulled from the full job description
- Tuition reimbursement
- Health insurance
- Retirement plan, We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.