AI Engineer - Generative AI and Machine Learning

AI Engineer (GenAI/ML), Aladdin Engineering, Vice President

About this role

At BlackRock, technology is the foundation of our business. As a VP, AI Engineer (GenAI/ML), you’ll lead by example — architecting, coding, and mentoring teams to build resilient systems that apply Generative AI and Machine Learning to improve operational efficiency, user experience, and insight generation across our global post-trade operations. You’ll design and deliver enterprise-scale AI-enabled software with a focus on reliability, governance, and clean engineering practices. 

This role is ideal for a technical leader who enjoys staying close to the code, guiding design decisions, and building agentic systems (tool-using AI agents) and ML services — all while fostering a culture of excellence and continuous improvement. 

 

About Post Trade Accounting (PTA) 

• A major strategic area within Aladdin and one of BlackRock’s largest engineering investments. 

• Responsible for the systems that ensure accurate, scalable, and efficient accounting across global operations. 

• Expanding into data analytics and pipeline initiatives using Snowflake, Redis, and Kafka to manage high-volume, real-time data. 

• Collaborates closely with Product, Operations, and other Engineering teams to deliver business-critical capabilities. 

• Agile and collaborative environment that values technical depth, quality, and innovation. 

 

Key Responsibilities 

• Design and develop production AI services that embed GenAI and ML into enterprise workflows. 

• Build AI agents that can plan and execute multi-step tasks by calling approved tools/APIs, retrieving context, validating outputs, and safely handling failure cases. 

• Implement retrieval-augmented generation (RAG) systems using vector search and hybrid retrieval to ground responses in enterprise data and documentation. 

• Develop ML components where appropriate (e.g., classification, ranking, anomaly detection) and integrate them with LLM-based systems for hybrid intelligence. 

• Establish robust evaluation and quality gates for agents and LLM systems (golden datasets, automated tests, regression suites, monitoring for drift/quality). 

• Implement enterprise-grade governance: audit trails, provenance/citations, access control, privacy handling, and versioning (models/prompts/chains). 

• Champion best practices for code quality, testing, automation, and performance/cost optimization. 

• Mentor engineers to elevate technical craftsmanship, problem-solving, and design thinking. 

• Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes. 

 

Qualifications / Competencies 

• B.S./M.S. in Computer Science, Engineering, or related discipline. 

• 8+ years of professional software engineering experience building and operating distributed systems in production. 

• 3+ years delivering ML/AI systems to production with measurable outcomes and operational ownership. 

• Demonstrable experience designing and building AI agents (agentic workflows) that: 

• perform multi-step reasoning and task execution, 

• use tools/functions/APIs, 

• manage state appropriately, 

• and include guardrails, validation, and safe fallback behavior. 

• Strong knowledge of agentic design patterns, such as planning/execution loops, routing/specialist agents, retrieval + tool orchestration, verification/reflection, and human-in-the-loop approvals. 

• Hands-on experience with LLM orchestration frameworks (e.g., LangChain or similar), including building reusable chains/agents and enforcing structured outputs. 

• Hands-on experience with vector databases / retrieval systems (e.g., Pinecone, Weaviate, Milvus, pgvector, Elastic vector search, etc.) including indexing, chunking strategies, and hybrid search. 

• Strong Python for AI/ML development and automation; strong backend experience in Java and/or TypeScript (APIs, services, integration patterns). 

• Solid applied ML and evaluation fundamentals: dataset construction, precision/recall tradeoffs, calibration, and drift/quality monitoring. 

• Enterprise mindset for security and controls: data minimization, auditability, traceability, access control, and operational resilience. 

• Strong focus on clean architecture, maintainability, and production readiness. 

• Excellent communication and leadership skills — able to guide teams and influence design direction. 

 

Nice to Have 

• Experience with Kubernetes, Docker, and cloud-native environments (AWS/GCP). 

• Observability experience: OpenTelemetry, Prometheus/Grafana, and AI/LLM telemetry (quality metrics, latency, cost, tool-call traces). 

• MLOps maturity: model registry, reproducibility, CI/CD for ML, feature stores, and governance workflows. 

• Responsible AI experience: red-teaming, prompt injection defenses, content safety filters, privacy-preserving patterns. 

• Familiarity with enterprise workflow/case management patterns and building AI into operational processes. 

• Interest in financial systems, accounting, or investment technology. 

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’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.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Experience Level

Executive Level