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Location: Bengaluru; Mumbai, India
Job Description
Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together
As a Applied AI ML Director at JPMorgan Chase within the Trust Estate Technology Team under Asset & Wealth Management line of business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities:
Defines and owns reference architectures for agentic AI, including LLM orchestration, tool use, retrieval, guardrails, evaluation harnesses, and observability. Lead hands-on build in Python with PyTorch or TensorFlow where needed.
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Establish and promote a library of reusable GenAI/ML engineering assets, including reference implementations, standardized templates/SDKs, shared RAG components (ingestion, chunking, embedding, indexing, retrieval), and deployment patterns.
Establishes reusable components (prompt management, evaluators, safety filters, memory stores, connectors, RAG pipelines) to accelerate delivery across AWM and partner lines of business.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Build and operationalize agentic GenAI workflows (planning/execution patterns, tool calling, state management, retries) with appropriate guardrails, permissions, and observability.
Liaise with firmwide AI/ML stakeholders to drive standards, interoperability, adoption, and reuse of shared frameworks.
Required qualifications, capabilities, and skills:
Formal training or certification in Artificial Intelligence & Machine Learning concepts and 10+ years applied experience.
Practical experience delivering system design, application development, testing, and operational stability
Hands-on experience building agentic AI solutions and LLM orchestration (prompt engineering, tool use, retrieval, evaluators, guardrails).
Strong Python engineering skills; experience with PyTorch or TensorFlow.
Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data
Demonstrated expertise in Artificial Intelligence and Machine Learning technologies, including proficiency with frameworks such as Langchain, LangGraph, Hugging Face and RAG
Ability to advise cross-functional teams on technological matters within the domain of Agentic AI Platforms and building agentic customer experiences
Contributes to the development of technical methods in Agentic Customer Experiences in line with the latest product development methodologies
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated experience in system design, including architecting scalable and reliable solutions, selecting appropriate technologies, defining system components and their interactions, and ensuring alignment with business requirements and performance goals through detailed documentation and collaborative design reviews.
Cloud deployment experience (AWS or Azure) for AI/ML workloads; reliability, scalability, and cost optimization.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred Qualifications, Capabilities, and Skills:
Hands-on practical experience in building agentic AI platforms for building AI-driven customer experiences
Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines -- cloud, artificial intelligence, machine learning, AI agents
Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
Ability to present and effectively communicate with Senior Leaders and Executives
Practical cloud native experience
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Job Info
Job Identification
210773687
Job Category
Predictive Science
Posting Date
11/11/2026
Apply Before
11/30/2026
Job Schedule
Full time
Job Shift
Day
Locations
Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN
Mumbai, Maharashtra, India
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
Most IT Jobs posts in Mumbai ask for 3–6 years of experience (48% of 614 that say).
From live job posts on CoreHRx, updated 13 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹25L a year (typical for IT Jobs in India, 838 posts).
The post asks for 10 Yrs experience.
In Mumbai, Bangalore.
It is a full time job.
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This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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