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AI Platform & Application Engineer - Vice President
Full-timeOn-siteManagerTech
About this role
At BlackRock, we are seeking a VP of AI Platform Engineering to lead the design and delivery of enterprise AI capabilities that power technologist enablement, and next-generation platform services. This leader will combine deep technical expertise in modern AI systems with strong engineering execution and organizational leadership. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. With over USD $11 trillion of assets we have an exceptional responsibility, our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. As an AI engineering leader at BlackRock, you will help define how AI is safely, securely, and effectively embedded into our engineering ecosystem at scale.
Description
Our Platform Engineering division builds and operates the foundation system that power Aladdin and BlackRock’s enterprise technology landscape. We are leading BlackRock’s evolution toward an AI-native engineering organization. We are fundamentally reimagining how software is built, reviewed, tested, modernized, and operated through intelligent systems.
The AI Platform Engineering team is not simply integrating AI into existing workflows; we are redesigning those workflows altogether. The team drives step-change improvements in developer enablement, large-scale modernization, and enterprise AI governance. We operate at the intersection of AI innovation and enterprise-grade reliability, shaping the future of engineering across thousands of developers and multiple business domains. The team defines what AI-powered engineering looks at scale inside one of the world’s most sophisticated financial technology environments.
Responsibilities
• Design scalable AI architecture leveraging LLMs, RAG, fine-tuning, and model optimization techniques
• Establish evaluation frameworks to measure model quality, hallucination control, and precision/recall trade-offs
• Lead the design and implementation of scalable AI platform capabilities used across the software development lifecycle
• Partner with product and security teams to ensure AI solutions are safe, compliant, and production‑ready
• Drive delivery through ambiguity by breaking down complex problems into clear plans and milestones
• Lead buy vs. build decisions, evaluating third‑party solutions alongside internal capabilities
• Identify technical risks and dependencies early, with mitigation and escalation where needed
• Coordinate across multiple engineering teams and time zones to deliver shared outcomes
• Translate complex AI capabilities into clear business values and communicate progress, trade‑offs, and risks to senior stakeholders
• Lead and develop a team of engineers and senior ICs, providing coaching and technical mentorship
• Foster a culture of ownership, accountability, and continuous improvement
• Support the growth of emerging leaders by delegating responsibility and increasing scope over time
Requirements
Strong experience building and operating production AI systems, including LLM‑based workflows
• Solid understanding of modern AI practices such as prompt engineering, retrieval‑augmented generation, fine‑tuning, and evaluation
• Proven experience designing and delivering shared platforms or services at scale
• Deep technical fluency in Java and Python with hands-on experience building scalable, production-grade AI and platform services
• Experience designing APIs and operating services in a cloud environment
• Experience working with distributed Cloud environments
• Strong communication skills and the ability to collaborate effectively across teams
• Experience working in Agile development teams.
Nice to Have
• Experience working on developer productivity or platform engineering initiatives
• Prior people‑management experience, including leading small to mid‑sized engineering teams
• Familiarity with enterprise governance, security, and risk considerations for AI systems
Skills
AWSGoJavaNode.jsTailwind CSS
