Home/Jobs/Applied AI ML Lead-AI Engineer Applied AI ML Lead-AI Engineer JPMorganChase Bengaluru 5+ years Today $38.6K–51.8K/yr Full-time Onsite Skills Required LLM RAG Agentic AI Prompt Engineering Fine-tuning Agentic frameworks Claude Code Python Machine Learning AI/ML CI/CD Containerisation Cloud-native deployment Databricks Kubernetes Description Hands-on senior AI engineer role focused on building trusted, market-leading AI products in a secure, stable, and scalable way. The position translates business problems into agentic AI and machine learning solutions with measurable client and advisor impact.

Company: JPMorgan Chase Role: Applied AI ML Lead -AI Engineer Experience 5+ years applied experience

Advanced proficiency in Python

Modern software engineering practices: testing, design patterns, code review, version control

Fluent with AI coding tools such as Claude Code and GitHub Copilot

Hands-on experience building, evaluating, and deploying machine learning models into production

Practical experience with Large Language Models

Practical experience with CI/CD

Practical experience with containerisation

Demonstrated experience in system design, application development, testing, and operational stability for ML or data-intensive systems

Strong communication skills for senior business stakeholders

Experience applying new methods to solve complex technology problems across multiple technical disciplines Qualification Formal training or certification on AI/ML engineering concepts

Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field

Equivalent applied experience Responsibilities Own end-to-end delivery of priority IPB AI/ML use cases from problem framing and business case to deployed,



monitored production services

Lead the engineering build of agentic AI and LLM-powered products for IPB advisors and clients across international markets

Set the engineering quality bar through code reviews, technical design, and pairing with peers and junior engineers

Establish and operate Responsible AI controls in production to firm-wide standards

Act as a primary technical partner to IPB business stakeholders and shape AI/ML opportunities into funded workstreams

Represent the AIML team in firm-wide AI/ML governance and engineering forums

Ensure cross-border, regulatory, and data-privacy considerations are reflected in solution design

Contribute to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring Nice To Have Industry-recognised cloud or GenAI certification such as AWS Certified Generative AI Developer - Professional or similar

Experience within financial services technology, particularly wealth, private banking, or asset management

Experience with Databricks

Experience with Kubernetes

Experience designing or contributing to AI governance, model validation, or guardrail frameworks

Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates More Skills testing, design patterns, code review, version control, GitHub Copilot, cloud-native deployment patterns, system design,



application development, operational stability, Responsible AI, guardrails, evaluation frameworks, observability, model risk controls, agile, generative AI Other International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team

Responsible AI controls include guardrails, evaluation frameworks, observability, and model risk controls The company emphasizes diversity and inclusion and is an equal prospect employer

Reasonable accommodations are available for religious practices and beliefs, as well as mental health or physical disability needs

J.P.

Morgan

Asset & Wealth Management delivers investment management and private banking solutions

JPMorganChase operates across investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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