Executive Director, Agent Platform Lead
JPMorgan Chase1 month ago
Base Salary
$166k - $260k/yr
Responsibilities
- Define production patterns for multi-agent orchestration, tool calling, MCP server design, state and memory management, human oversight, and managed model access.
- Lead architecture and code reviews for agents delivered with Lines of Business and mentor Product Specialists across NYC, London, Hyderabad, and Singapore.
- Embed with engineering teams on complex use cases, write code, and move solutions to production using paved paths rather than custom one-offs.
- Partner with Agents & Evals product and engineering leaders to convert field feedback into roadmap priorities and capability requirements.
- Engineer governance, model risk, compliance controls, deployment gates, audit trails, and security defaults into agent delivery paths.
- Define shipping standards including onboarding gates, regression suites, tool-use fidelity, safety boundary tests, and shadow or canary production evaluation.
- Design blast-radius containment, prompt-injection mitigation, least-privilege tool access, and MCP tool-surface reviews.
- Maintain the Agent Developer Playbook, AI/ML paved paths, and reference architectures to scale platform adoption.
Requirements
- 10+ years of experience in technology and 3+ years building LLM-based applications or agent systems that ran in production.
- Hands-on experience with multi-agent orchestration, tool calling, MCP integration, RAG pipelines, context and memory management, and production failure analysis.
- Working knowledge of Evals, RAG, Harness Agents, model tuning and serving, rate limits, model gateway patterns, and runtime evaluation.
- Ability to set technical direction and improve engineering quality across teams without direct authority through standards, architectures, and reviews.
- Demonstrated influence on roadmaps owned by other platform or product teams, with evidence that advocated capabilities were built and adopted.
- Strong written and verbal communication with principal engineers and senior executives.
- Preferred experience with MCP at scale, tool schema design, server architecture, tool-surface security, and enterprise integrations.
- Preferred experience in financial services, healthcare, or government, including model risk management and audit-driven engineering.
- Preferred experience building agent evaluation frameworks, human-oversight systems, escalation paths, intervention hooks, and auditability.
- Preferred breadth across model training, fine-tuning, serving, and data sourcing from Databricks, Snowflake, and S3.
- A master’s or PhD in Computer Science, Engineering, or a related field, or equivalent practical depth, is preferred.
- Production-grade Python experience is a plus.
Benefits
- Competitive total rewards and benefits package, with eligibility-based health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive discretionary incentive compensation or commission-based pay, including cash or forfeitable equity.
- JPMorganChase provides equal opportunity employment, diversity and inclusion programs, and reasonable accommodations.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.