Design and implement enterprise AI solutions using LLMs, Generative and Agentic AI. Build RAG/GraphRAG, knowledge graphs, MCP integrations, orchestration workflows, scalable Python services, APIs, and dashboards. Collaborate with compliance, tech, and business stakeholders and contribute to engineering standards and AI governance.
Job Responsibilities
- Develop AI-powered applications leveraging LLMs, Generative AI, Agentic AI, and advanced analytics.
- Build and enhance AI agents that interact with enterprise tools, data sources, APIs, and business workflows.
- Develop orchestration workflows using frameworks such as LangGraph, Semantic Kernel, LangChain, or similar technologies.
- Implement MCP (Model Context Protocol) integrations to securely connect AI applications with enterprise systems, knowledge sources, and services.
- Build and support Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Graph solutions.
- Develop scalable Python-based applications, APIs, and services to support AI and analytics use cases.
- Integrate enterprise LLM platforms and GenAI services into business workflows and operational processes.
- Perform data exploration, experimentation, testing, and performance optimization across structured and unstructured datasets.
- Create dashboards, reporting solutions, and user-facing applications that translate AI outputs into actionable insights.
- Collaborate with Compliance, Technology, and Business stakeholders to understand requirements and deliver high-quality solutions.
- Contribute to reusable frameworks, engineering standards, testing practices, and AI governance requirements.
Required Qualifications and Skills
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative discipline.
- 5+ years of experience developing software, automation, analytics, or AI solutions.
- Strong programming skills in Python and SQL.
- Experience working with LLMs, Generative AI platforms, prompt engineering, and AI application development.
- Experience building solutions using orchestration frameworks such as LangGraph, LangChain or similar technologies.
- Understanding of Agentic AI concepts, tool calling, workflow automation, memory management, and multi-step reasoning.
- Experience implementing MCP (Model Context Protocol) integrations or similar enterprise integration patterns.
- Familiarity with RAG, embeddings, vector databases, semantic search, and knowledge retrieval techniques.
- Experience working with REST APIs, JSON, and enterprise system integrations.
- Strong problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
- Experience with Neo4j, Knowledge Graphs, or GraphRAG architectures.
- Experience with AI observability, evaluation frameworks, and LLM testing methodologies.
- Experience with cloud-based AI platforms and enterprise AI ecosystems.
- Familiarity with compliance, risk management, or financial services domains.
- Experience building AI copilots, assistants, workflow automation solutions, or multi-agent systems.
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.
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
Similar Jobs
Financial Services
Develop and deploy production AI/ML solutions for conduct risk and compliance, including anomaly detection, graph analytics, weak supervision, feature engineering, model evaluation, explainability, monitoring, and MLOps. Support model risk management documentation, validation, and governance in a regulated financial-services environment. Collaborate with investigations, operations, risk, and technology stakeholders, apply GenAI where appropriate, and mentor junior team members.
Top Skills:
Anomaly DetectionCi/CdGenaiGraph AnalyticsLimeLlmsMlopsModel RegistryNlpPythonPyTorchShapTensorFlow
Financial Services
Lead data science projects developing and deploying LLM and GenAI solutions for compliance and risk management. Conduct AI research, optimize model training and evaluation frameworks, analyze model effectiveness, collaborate with technology, compliance, and business teams, and communicate technical outcomes to senior stakeholders. The role requires strong Python and deep learning expertise, advanced knowledge of LLM architectures and NLP, and experience applying AI in regulatory or financial risk domains.
Top Skills:
Ai/MlGenerative AiHugging Face TransformersLlmsNlpPythonPyTorchTensorFlowTransformers
Financial Services
Lead data science projects developing, deploying, and managing LLM and GenAI solutions for compliance and risk management. Conduct research, optimize model training and evaluation frameworks, analyze model effectiveness, and collaborate with technology, compliance, and business stakeholders. Communicate technical findings to leadership and support innovation across the team.
Top Skills:
Generative Ai (Genai)Hugging Face TransformersLarge Language Models (Llms)Natural Language Processing (Nlp)PythonPyTorchTensorFlowTransformer Architectures
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
