Senior AI Platform Engineer, Vice President/Director

Stack

Responsibilities

• ▹Design, build, and operate the firm's AI platform: shared services, APIs, SDKs, and tooling that enable secure, consistent AI adoption.
• ▹Drive architecture across scalability, reliability, security, developer experience, and cost; define clear abstractions across application, framework, runtime, and infrastructure layers.
• ▹Build platform capabilities for LLM and agentic systems (orchestration, tool integration, memory, workflow execution, runtime management).
• ▹Develop retrieval and knowledge-access services supporting RAG and related patterns.
• ▹Implement evaluation frameworks to measure quality, reliability, safety, and business outcomes; use telemetry to prevent regressions and drive continuous improvement.
• ▹Build observability for tracing, metrics, logs, sessions, and execution history; deliver operational monitoring and diagnostics.
• ▹Implement guardrails for policy enforcement, risk mitigation, tenant isolation, and governance.
• ▹Write high-quality production code; establish strong engineering practices (testing, code review, CI/CD, documentation, operational ownership).
• ▹Operate reliable cloud-native services with monitoring, incident response, and performance optimization.

Requirements

• ▹Strong software engineering fundamentals.
• ▹Hands-on Python development experience.
• ▹Ability to turn rapidly evolving AI technologies into reliable, reusable, enterprise-grade platform services.

Soft skills

About the company

BlackRock is building the firm's AI platform, enabling teams across the organization to build, evaluate, deploy, govern, and operate AI applications safely and efficiently.