Position Overview

Join our Applied AI/ML team as an AI/ML Solutions Lead (Vice President) driving high-impact GenAI initiatives across Consumer & Community Banking. This is a hands-on GenAI-focused data science position requiring a proven track record of delivering business-impactful projects from conception through scaled deployment. You will own the end-to-end lifecycle of GenAI use cases, serving as both technical leader and strategic partner while maintaining hands-on involvement in solution architecture, prototyping, and implementation.

Core Responsibilities

Strategic Delivery & Technical Leadership

• Own end-to-end delivery of GenAI and AI/ML use cases with ability to independently plan, anticipate complexities, and deliver high-quality outputs within agreed timelines
• Hands-on development and prototyping of GenAI solutions, including building POCs, architecting scalable solutions, and writing production-quality code
• Design and implement GenAI solutions leveraging LLMs, agentic AI systems, and RAG architectures
• Build end-to-end data pipelines using Python and modern platforms (Snowflake, Databricks), implementing ETL/ELT processes for model development
• Proactively identify and communicate risks, delays, and mitigation options with structured progress updates

Thought Leadership & Stakeholder Management

• Develop and evangelize strategic vision for GenAI solutions, generating clarity in uncertain environments through deep customer engagement
• Proactively engage with stakeholders to confirm expectations, surface uncertainties early, and maintain alignment throughout project lifecycles
• Own communication cadence with executive stakeholders, providing forward-looking updates without repeated prompting
• Demonstrate analytical rigor and storytelling, clearly linking findings, implications, and recommended actions

Execution & Change Management

• Independently develop comprehensive project plans, identify stakeholders, define success metrics, and drive execution with minimal direction
• Develop and implement best practices for integrating GenAI solutions as scalable, enterprise-grade capabilities
• Collaborate across cross-functional teams to identify strategic partners and foster collaborative environments

Required Qualifications

Critical Technical Skills

• Advanced Python programming with ability to write production-quality, maintainable code for data science and AI/ML applications
• Hands-on GenAI experience:
  • Large Language Models (e.g. GPT, Claude, Llama) including prompt engineering and fine-tuning
  • Agentic AI frameworks (e.g. LangChain, LlamaIndex, AutoGen, CrewAI)
  • RAG architectures including vector databases (Pinecone, Weaviate, ChromaDB, FAISS), embedding models, and retrieval optimization
• Modern data platforms:
  • Snowflake for data warehousing and analytics
  • Databricks for distributed computing and ML workflows
  • ETL/ELT processes and data pipeline orchestration
  • Cloud platforms (AWS, Azure, GCP) and their AI/ML services
• Core data science packages: pandas, numpy, scikit-learn, PyTorch/TensorFlow
• MLOps practices: model versioning, experiment tracking (MLflow), deployment pipelines, version control (Git), containerization (Docker)

Critical Business & Leadership Capabilities

• Proven track record of delivering business-impactful GenAI/AI/ML projects in large enterprise environments from ambiguous requirements to scaled production
• End-to-end project planning and execution with ability to independently manage timelines, resources, risks, and stakeholder expectations across concurrent initiatives
• Operating in uncertainty: demonstrated capability to generate clarity through structured problem-solving, customer engagement, and iterative refinement
• Excellent communication and stakeholder management with proven ability to influence senior leaders and drive alignment across diverse teams
• Self-directed work style with ability to anticipate complexities, proactively identify risks, and maintain disciplined progress with limited supervision
• Strong analytical and problem-solving skills with demonstrated rigor in structuring problems and developing actionable recommendations

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or equivalent practical experience

Preferred Qualifications

Advanced Technical Skills

• Advanced degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, or related quantitative field
• Semantic technologies and graph databases:
  • Property graphs and graph databases (Neo4j, TigerGraph, Amazon Neptune) with Cypher query language
  • RDF graphs and semantic web technologies (RDF, OWL, SPARQL)
  • Knowledge graph construction, ontology design, and taxonomy development
  • Integration of graph-based approaches with GenAI solutions (GraphRAG, knowledge-enhanced LLMs)
• Advanced RAG techniques: hybrid search, re-ranking, query decomposition, multi-hop reasoning
• Experience with model evaluation frameworks and responsible AI practices

Business & Leadership

• Experience with change management principles and organizational adoption of AI/ML capabilities
• Familiarity with Agile methodologies and modern product management frameworks
• Track record of thought leadership through publications, presentations, or recognized contributions
• Experience in financial services or highly regulated industries
• Demonstrated ability to mentor team members and set high standards for execution quality

What Sets Successful Candidates Apart

1. Technical Excellence: Portfolio of GenAI projects showcasing hands-on expertise in RAG systems, agentic AI, or LLM-powered applications with measurable business impact
2. Delivery Excellence: Consistent track record of delivering complex projects on time with high quality, navigating ambiguity through structured approaches
3. Business Impact Orientation: Clear examples of GenAI/AI/ML solutions that drove measurable business value with articulated linkage between technical solutions and outcomes
4. Proactive Leadership: Evidence of independently driving initiatives forward, anticipating obstacles, and maintaining momentum without constant direction
5. Semantic & Graph Expertise (Plus): Experience applying knowledge graphs, semantic layers, or graph-based reasoning to enhance GenAI solutions

Technical Environment

Languages: Python, SQL | GenAI: SmartSDK, LangChain, LlamaIndex, OpenAI/Anthropic APIs | Data Platforms: Snowflake, Databricks, AWS/Azure/GCP | ML/DL: PyTorch, TensorFlow, scikit-learn | Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS | Graph DBs: Neo4j, TigerGraph, Amazon Neptune | MLOps: MLflow, Docker, Kubernetes, Git

JPMorgan Chase is an equal opportunity employer committed to creating an inclusive environment for all employees.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

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