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BlackRock

Vice President, AI Engineering

Posted An Hour Ago
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In-Office
Mumbai, Maharashtra
Senior level
In-Office
Mumbai, Maharashtra
Senior level

About this role

We are looking for VP of AI Engineering to lead the development of our multi-agent applications within Hyperion, our unified data and analytics platform for Private Markets in BlackRock. This role sits at the intersection of robust software engineering and data science and requires a deep understanding of agentic workflows. This is a senior-level position designed for an engineer with 7+ years of experience, preferably within a financial firm.

Key Responsibilities:

  • Architect and scale complex, multi-agent workflows using frameworks such as LangGraph

  • Be hands on in leading the lifecycle from POC to MVP to production for AI applications including data pipelines and backend integration

  • Develop and apply statistical evaluation frameworks to analyze agent trajectories, ensuring reliability and accuracy in decision making

  • Lead the integration of LLMs into core business products, ensuring high availability and low latency.

Technical Requirements

  • Proficiency in Python and production level software design patterns (CI/CD for AI, unit testing for prompts)

  • Proven experience in building stateful, multi-step AI systems using agentic orchestration frameworks such as LangGraph

  • Strong grasp of basic NLP (tokenization, embedding, semantic search) and data science principles (statistical modeling, data preprocessing and experimentation)

  • Proficiency in graph data structure and libraries (Networkx) to model complex relationships

  • Advanced understanding of RAG architectures and vector databases.

  • Familiarity with Transformer architecture and fine-tuning of language models

  • Familiarity with AI frameworks (Tensorflow, PyTorch) and Kubernetes

Skills and Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics or other quantitative fields

  • 7+ years of work experience building and deploying engineering or AI / ML systems end to end, including 1-2 years of experience in deploying LLM workflows  

  • Strong written and oral communications skills

  • Proven ability to lead complex projects, manage multiple priorities, and deliver high-quality solutions at scale

  • Preference for prior experience with open source language models and actively staying current with developments in the rapidly evolving generative AI landscape

  • Understanding of private markets and asset management industry is a plus

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.

Top Skills

Kubernetes
Langgraph
Networkx
Python
PyTorch
TensorFlow

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