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.
Job Responsibilities
- 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.
Required Qualifications, Capabilities, and Skills
- 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, risks, and investment needs for senior leaders
- 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.
Preferred Qualifications, Capabilities, and Skills
- 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.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- 10+ years of applied software engineering experience
- 5+ years leading technologists and solving complex technical problems
- 10+ years leading engineering teams and owning technical roadmaps for shared platform capabilities
- Hands-on Databricks expertise, including Unity Catalog, Delta Lake, Spark, and SQL Warehouses
- Strong LLM application architecture experience with RAG, tools, agents, and orchestration
- Experience building and operating production AI systems with testing, observability, and resiliency practices
- Strong knowledge of data governance, access controls, and audit-ready practices, such as Immuta or similar tools
- Ability to translate technical decisions into business value, trade-offs, risks, and investment needs
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI, data sensitivity, secure input and output handling, resiliency, and security expectations
- Experience building Model Context Protocol servers or secure agent tool layers
- Familiarity with star schema and Medallion architecture
- Experience delivering AI in regulated environments with governance and auditability
- Familiarity with Sigma Computing or similar Databricks-based analytics tools
- Experience building reusable agent patterns and platform accelerators
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
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Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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