Executive AI Engineering Director, Data Platform

JP Morgan Chase; Columbus (OH); Presencial; USD 210.000 - 300.000; Jornada completa

Descripción de la vacante

JPMorganChase in Columbus, OH seeks an Executive Director of Applied AI Engineering to own the strategy and drive the technical direction for AI-enabled workflows on a Databricks-based data platform on Amazon Web Services.

You will lead the design, delivery, and scaling of production-grade AI agent capabilities, build secure integrations, set governance, and grow a high-performing engineering team across multiple workstreams to deliver measurable improvements in speed, quality, and reliability.

Formación

• Formal training or certification on software engineering concepts with 10+ years of applied experience.
• 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, risks, and investment needs for senior leaders
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment 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.

Responsabilidades

• 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 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.
• Set direction and governance for agentic AI-enabled engineering and SDLC automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes.
• Apply knowledge of SDLC toolchains and enterprise AI-assisted development to improve value and capacity.

Conocimientos

Software engineering concepts

Lead technologists

Databricks expertise

LLM application architecture

Production AI systems

Data governance and access controls

translate technical decisions to biz

AI-assisted software development tools

Responsible AI practices

Herramientas

Databricks

Unity Catalog

Delta Lake

Spark

SQL Warehouses

Immuta

Descripción del empleo

JPMorganChase in Columbus, OH seeks an Executive Director of Applied AI Engineering to own the strategy and drive the technical direction for AI-enabled workflows on a Databricks-based data platform on Amazon Web Services.

You will lead the design, delivery, and scaling of production-grade AI agent capabilities, build secure integrations, set governance, and grow a high-performing engineering team across multiple workstreams to deliver measurable improvements in speed, quality, and reliability.