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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML Engineering Analyst - **Company:** JPMorgan Chase & Co. - **Location:** Jersey City, NJ, United States - **Salary:** $99,750.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Software Quality, Content Analysis, Software Design Patterns, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Azure Machine Learning, Text Mining, GitHub Copilot, Delivery Pipeline, Large Language Models, Prompt Engineering, Information Technology, Low Latency, Code Restructuring, Artificial Intelligence Markup Language (AIML) - **Published:** June 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=77c0824ca4c03159 ## About the Role 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. ## 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [May I interest you in ... 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