Agentic AI Director of Software Engineering

You will own the strategy and drive the technical direction for AI-enabled workflows that accelerate data modeling, pipeline generation, data classification, and governed self-service access, partnering closely with Information Architecture, Data Engineering, Data Governance, and business stakeholders.

As an Executive Director, Applied AI Engineering (Data Platform) at JPMorganChase within Corporate Technology, you will lead the design, delivery, and scaling of production-grade AI agent capabilities across our Databricks-based data platform on Amazon Web Services.

• Own the Applied AI roadmap and turn business needs into platform

capabilities.

• Scale agent workflows for modeling, pipeline creation, data quality, and

classification.

• Build a secure integration layer (including Model Context Protocol tooling

where relevant) with controlled access and audit trails.

• Set standards for agent use of Databricks, Unity Catalog, Delta Lake, and

policy controls.

• Ensure AI pipelines are production-ready with strong performance,

reliability, and monitoring.

• Implement human review and quality gates so outputs are validated and

traceable.

• Deliver across multiple workstreams and communicate risks and progress to

senior leaders.

• Hire and grow a high-performing, inclusive engineering team.
• Sets direction and governance for agentic AI-enabled engineering and Software

Development Life Cycle automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., release readiness controls, automated test modernization, incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.

• Applies knowledge of tools within the Software Development Life Cycle

toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.

• Formal training or certification on software engineering concepts and 10+

years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise

• 10+ years demonstrated experience leading engineering teams and owning

technical roadmaps for platform capabilities used by multiple product teams.

• Hands-on Databricks expertise (Unity Catalog, Delta Lake, Spark, SQL

Warehouses) and ability to set secure, scalable patterns.

• Strong LLM application architecture skills (RAG, tools, agents,

orchestration) with a focus on safety and reliability.

• Experience building and running production AI systems with strong testing,

observability, and resiliency practices.

• Strong knowledge of data governance and access controls (e.g., Immuta or

similar) with audit-ready practices.

• Ability to translate technical decisions into business value, trade-offs,

• Experience building Model Context Protocol servers or secure agent tool

layers.

• Familiar with star schema and Medallion architecture to validate AI-generated

outputs.

• Delivered AI in regulated environments with strong governance and

auditability.

• Familiar with Sigma Computing or similar Databricks-based analytics tools.
• Built reusable agent patterns and platform accelerators that scale across

teams.

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 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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

• Hands-on experience using enterprise-authorized AI-assisted software

development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.

• Strong understanding of responsible AI use in engineering workflows,

including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to influence leaders on safe scaling patterns and reuse.