Artificial Intelligence & Machine Learning Engineer, Director

About this role At BlackRock, technology is fundamental to how we serve clients and operate at scale . Aladdin—our industry‑leading, end‑to‑end investment management platform—embodies this by combining deep financial expertise with advanced data and AI capabilities. We are seeking a Director of AI Platform / Engineering to provide technical and strategic leadership within the Aladdin AI Engineering organization . In this role, you will be responsible for shaping the direction of Aladdin’s AI platform, leading high‑impact engineering initiatives, and ensuring the delivery of scalable, reliable, and responsible AI solutions across investment, operations, and data science workflows. This role requires a blend of hands‑on technical depth , architectural leadership , and people and delivery leadership . You will work closely with senior engineering leaders, product managers, data scientists, and business stakeholders to translate AI strategy into production‑grade platforms and services. Key Responsibilities Technical & Architectural Leadership Set the t echnical vision and architecture for Aladdin’s AI platform, including LLM‑powered and agentic AI systems. Lead the design and evolution of scalable AI/ML platform services , APIs, and microservices that support Aladdin’s global user base. Drive architectural decisions across distributed systems, ensuring reliability, scalability, security, and operational excellence. Establish and enforce engineering standards, design patterns, and best practices across AI platform teams. Ensure AI solutions are built with strong considerations for governance, observability, resilience, and responsible AI . Delivery & Execution Own delivery outcomes for multiple concurrent initiatives, balancing near‑term execution with long‑term platform evolution. Partner with product management to define roadmaps, prioritize investments, and align execution with business outcomes. Oversee production readiness, including design reviews, risk assessments, release management, and operational support. Drive continuous improvement in engineering workflows, quality, and delivery predictability. People & Organizational Leadership Lead, mentor, and develop senior engineers, technical leads, and managers. Build a strong engineering culture centered on ownership, rigor, collaboration, and technical excellence. Support hiring, onboarding, performance management, and succession planning. Act as a senior technical voice across leadership forums and architectural reviews. Stakeholder & Cross‑Functional Collaboration Partner closely with platform, product, data science, and infrastructure leaders. Communicate complex technical concepts clearly to senior leadership and non‑technical stakeholders. Represent Aladdin AI Engineering in cross‑organizational initiatives and governance forums. Required Qualifications AI / ML‑Specific Qualifications Proven experience leading teams that build AI‑driven platforms and applications , including solutions leveraging large language models (LLMs) , AI Agents, agent tools and agent skills. Strong hands‑on familiarity with LLM frameworks such as LangChain , LlamaIndex , Semantic Kernel , or equivalent. Experience with Google Agent Development Kit (ADK) or comparable agent frameworks, including designing, orchestrating, and operating agent‑based systems in production. Deep understanding of agentic AI architectures , including multi‑agent coordination, tool invocation, and stateful reasoning workflows. Experience with prompt engineering and prompt tuning at scale, including performance, reliability, and safety optimization. Strong understanding of ML model evaluation , monitoring, and behavioral drift management in production systems. Experience integrating vector databases (e.g., Faiss , Chroma) into AI system architectures. Solid understanding of MLOps practices , including model lifecycle management, deployment pipelines, an ... (truncated, view full listing at source)