AI/ML - Platform Engineering, Vice President
Posted 8 hours 27 minutes ago by LGBT Great
Are you interested in building AI systems that fundamentally transform how software is engineered in a global financial institution? Do you like working at the speed of a startup while solving highly sophisticated, enterprise scale problems in a highly complex environment?
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 $12 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.
About the teamOur Platform Engineering division builds and operates the foundation system that powers 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 optimisation 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.
- 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.
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including retirement investment and tools designed to help you build a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well being; family support programmes; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work modelBlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.