Website JPMC

JPMorganChase is hiring an Applied AI ML Senior Associate in Bengaluru. Requires 8+ years of experience, deep expertise in LLMs, LangGraph, Azure OpenAI, AWS Bedrock, and MLOps.

About the Company: Leading Global Financial Innovation

JPMorganChase is one of the world’s oldest, largest, and most prestigious financial institutions, managing trillions of dollars in assets and serving millions of consumers, small businesses, and prominent corporate, institutional, and government entities globally. Operating under the premier J.P. Morgan and Chase brands for over 200 years, the firm stands as an undisputed global leader in investment banking, asset management, commercial banking, and financial transaction processing.

At the center of this financial empire is Enterprise Technology. JPMorganChase infuses its core business operations with cutting-edge software engineering, deep predictive science, and robust infrastructure. The company champions a highly collaborative, inclusive culture that treats its diverse talent as its ultimate strength. By prioritizing responsible tech stewardship, continuous learning, and architectural resiliency, JPMorganChase provides elite engineering teams with the advanced cloud environments and computational assets needed to reshape the global financial landscape.

About the Role: Applied AI ML Senior Associate (Predictive Science)

Are you a seasoned AI engineer who moves past theoretical sandboxes to architect production-grade, autonomous multi-agent systems? The JPMorganChase Enterprise Technology team is accepting applications for the role of Applied AI ML Senior Associate at its state-of-the-art facility in Bengaluru.

This high-visibility, hands-on senior engineering position sits directly at the critical intersection of predictive science, advanced natural language processing (NLP), and transformer-based systems. Operating within the Corporate Functions business unit, you will bypass simple script prototyping to lead the end-to-end delivery of scalable machine learning systems that run smoothly across high-volume enterprise data streams. Working in an Agile infrastructure, you will write secure, resilient code, establish technical specifications, and build production pipelines alongside top-tier product managers, cloud architects, and data science communities.

Key Responsibilities & AI Engineering Workflows

  • Production GenAI & Agentic Systems: Architect, build, and scale production-ready Generative AI services and multi-agent frameworks utilizing LangGraph, Azure OpenAI models, and AWS Bedrock.

  • Scalable ML System Design: Design end-to-end machine learning solutions that process high-volume, real-time enterprise streams, ensuring seamless integration with legacy financial ecosystems.

  • Applied NLP & Modelling: Develop, optimise, and maintain complex language algorithms, utilising transformer architectures, advanced information retrieval, and regular expression text filtering.

  • Robust Cloud Infrastructure: Deploy microservices and data pipelines across distributed cloud platforms (AWS, Azure) using Python (FastAPI), messaging queues, and NoSQL engines.

  • Enterprise MLOps Orchestration: Manage model tracking, automated validation, containerization, and staging setups using production frameworks like MLflow or Kubeflow.

  • SDLC Engineering Discipline: Drive secure development practices, design system artefacts, write comprehensive documentation, and contribute to continuous code review ceremonies.

Candidate Prerequisites & Technical Capabilities

JPMorganChase requires a strong computer science foundation balanced with deep practical experience deploying and supporting live, high-volume enterprise applications.

Required Qualifications & Skills:

  • Academic Credentials: Graduate or Postgraduate degree in Computer Science, Predictive Science, or an equivalent technical field.

  • Professional Longevity: 8+ years of proven hands-on experience architecting and building innovative corporate AI/ML solutions.

  • Advanced NLP & Modeling Stack: Strong conceptual and practical background in Information Retrieval and NLP, with mastery of frameworks like PyTorch, TensorFlow, SciKit, HuggingFace Transformers, or NVIDIA NeMo.

  • Agentic Framework Pro: Demonstrated proficiency working with Large Language Models (LLMs) and constructing production-grade autonomous agents via LangGraph.

  • Cloud Native Ecosystems: Solid experience leveraging Azure OpenAI services and AWS Bedrockinfrastructures.

  • Backend & Microservices Mastery: Advanced Python programming proficiency (specifically utilizing FastAPI), alongside REST APIs, elastic cloud compute, messaging queues, and NoSQL database layers.

  • MLOps & DevOps Pipelines: Direct operational experience maintaining enterprise ML tools in production using orchestration layers like MLflow or Kubeflow, alongside containerization and strict automated CI/CD security workflows.

Preferred Technical Assets (Bonus Points):

  • Practical, hands-on knowledge of Databricks environments for high-scale data engineering.

  • Proven experience in debugging, profiling, and optimising large-scale distributed applications within a matrixed corporate environment.

Key Job Details & Timeline

  • Job Identification: 210756245

  • Primary Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, Karnataka, 560103.

  • Schedule & Classification: Full-Time corporate sector schedule.

  • Application Deadline: Apply before 30-Jun-2026 at 09:30 AM.

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