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Vice President, AI Engineering

BlackRock

Vice President, AI Engineering

BlackRock

Mumbai, India

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Learning Budget

Parental Leave

Healthcare

401k

Flexible Hours

Learning

Parental Leave

Required Skills

Python

AI/ML systems

LLM workflows

Agentic orchestration

NLP

RAG architectures

Graph data structures

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 Black Rock. 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 Lang Graph

  • 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 orchestrationframeworks such as Lang Graph

  • 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, Py Torch) 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

Black Rock’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 Black Rock.

About Black Rock

At Black Rock, 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 Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

Black Rock 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.

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About BlackRock

BlackRock

BlackRock

Public

Multinational investment company.

10,001+

Employees

New York City

Headquarters

Reviews

3.5

5 reviews

Work Life Balance

2.2

Compensation

3.5

Culture

3.0

Career

4.2

Management

2.8

Pros

Fast-paced learning and development opportunities

Advanced technology and global platform

Good benefits and retirement packages

Cons

Poor work-life balance

High stress and competitive environment

Toxic work culture in some areas

Salary Ranges

7,021 data points

Junior/L3

L2

L3

L4

L5

L6

Junior/L3 · Analyst

1,924 reports

$118,963

total / year

Base

$100,050

Stock

-

Bonus

$18,913

$81,954

$175,627

Interview Experience

6 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

17%

Interview Process

1

HireVue

2

Online Assessment

3

Final Round/Superday

Common Questions

Technical interviews

Behavioral questions

Role-specific assessments