Applied AI ML Associate Senior -ai Engineer

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Asset & Wealth Management

JPMorgan Chase is seeking an Applied AI ML Associate Senior - AI Engineer to join their International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team. The role involves designing, developing, and delivering components of agentic AI and machine learning products, turning problems into production-quality code, and contributing to LLM-powered applications. Responsibilities include writing production code, model evaluation, guardrail testing, and observability tasks, with a focus on responsible AI standards. The role requires formal training/certification in AI/ML engineering, 3+ years of experience, proficiency in Python, and practical exposure to ML/LLMs (prompt engineering, RAG, or agentic frameworks).

What you'd actually do

  1. Executes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML products
  2. Builds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineers
  3. Writes secure, high-quality production code and maintains algorithms that run synchronously with appropriate systems
  4. Contributes to model evaluation, guardrail testing, and observability tasks to firm-wide Responsible AI standards
  5. Learns continuously, using AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development

Skills

Required

  • Formal training or certification on AI/ML engineering concepts
  • 3+ years applied experience
  • Proficiency in Python
  • modern software engineering practices (testing, version control, code review)
  • Practical exposure to machine learning and/or Large Language Models (prompt engineering, RAG, or agentic frameworks)
  • Familiarity with AI coding tools as part of the development workflow
  • Understanding of CI/CD, containerisation, or cloud-native deployment concepts
  • Ability to communicate technical concepts clearly to teammates and stakeholders
  • BSc in Computer Science, Data Science, Engineering, or a related quantitative field

Nice to have

  • Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)
  • Experience building or deploying an ML or LLM-powered application (academic, internship, or professional)
  • Exposure to financial services technology
  • Familiarity with Databricks, Kubernetes, or comparable ML / cloud platforms
  • Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates

What the JD emphasized

  • agentic AI
  • LLM-powered
  • agentic frameworks

Other signals

  • design, develop, and deliver components of our agentic AI and machine learning products
  • turn well-defined problems into production-quality code
  • Builds and tests features of agentic AI, LLM-powered and ML applications
  • Writes secure, high-quality production code and maintains algorithms
  • Contributes to model evaluation, guardrail testing, and observability tasks