AI Engineer (GenAIML), Aladdin Engineering, Vice President
Job Summary
About this role
At BlackRock technology is the foundation of our business. As a VP AI Engineer (GenAI/ML)youlllead by example architecting coding and mentoring teams to build resilient systems that applyGenerative AI and Machine Learningto improveoperational efficiencyuser experience andinsight generationacross our global post-trade operations.Youlldesign 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 buildingagentic 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 BlackRocks largest engineering investments.
Responsible for the systems that ensureaccurate scalable and efficient accounting across global operations.
Expanding intodata 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 developproduction AI servicesthat embed GenAI and ML into enterprise workflows.
BuildAI agentsthat can plan and execute multi-step tasks by calling approved tools/APIs retrieving contextvalidatingoutputs and safely handling failure cases.
Implementretrieval-augmented generation (RAG)systems using vector search and hybrid retrieval to ground responses in enterprise data and documentation.
Develop ML components whereappropriate (e.g. classification ranking anomaly detection) and integrate them with LLM-based systems for hybrid intelligence.
Establish robustevaluation and quality gatesfor agents and LLM systems (golden datasets automated tests regression suitesmonitoringfor drift/quality).
Implement enterprise-gradegovernance: 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-functionallyto 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 andoperatingdistributed 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 ofagentic design patterns such as planning/execution loops routing/specialist agents retrieval tool orchestration verification/reflection and human-in-the-loop approvals.
Hands-on experience withLLM orchestration frameworks(e.g.LangChainor similar) including building reusable chains/agents and enforcing structured outputs.
Hands-on experience withvector databases / retrieval systems(e.g. PineconeWeaviate Milvuspgvector 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).
MLOpsmaturity: 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.
Interestin 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
BlackRocks 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 childrens 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. Its why were 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: 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.
Required Experience:
Exec
Key Skills
About Company
BlackRock is one of the world’s preeminent asset management firms and a premier provider of investment management. Find out more information here.