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Associate - AI Integration Engineer

BlackRock

Associate - AI Integration Engineer

BlackRock

Mumbai, India

·

On-site

·

Full-time

·

1w ago

About this role

The AI Integration Engineer will lead the build and delivery of AI-powered features that improve data and application workflows across GIP and Black Rock. This role focuses on integrating large language model (LLM)-based technologies such as ChatGPT, Microsoft Copilot and Snowflake Cortex into business intelligence platforms (Power BI), application environments (Power Apps) and data pipelines. The engineer will be responsible for prompt design, API integration, experimentation and embedding intelligent automation throughout the data stack in collaboration with BI, app development and infrastructure teams.

Responsibilities

AI Feature Development & Integration

  • Design, prototype and implement AI-powered assistants for data analysis, reporting and decision support
  • Integrate Microsoft Copilot into Power BI dashboards and Power Apps workflows to enhance user efficiency
  • Develop and optimize prompt libraries for ChatGPT and other LLM-based assistants
  • Leverage Snowflake Cortex and Black Rock-approved AI platforms to embed intelligent automation into the data ecosystem
  • Work closely with business intelligence, application, and data engineering teams to find opportunities for AI-powered features
  • Lead rapid experimentation with AI tools, evaluating feasibility, accuracy and business impact
  • Translate business use cases into structured AI workflows and solutions guided by specific inputs
  • Collaborate with external vendors and internal technology teams to integrate new AI capabilities

Governance & Performance

  • Implement guidelines for AI usage, including security, governance, and alignment with Black Rock standards
  • Supervise AI feature performance, analyze usage trends and drive improvements through iteration
  • Ensure cost-efficient use of AI interfaces and cloud platforms
  • Produce documentation and training materials for end users on AI-enabled tools and workflows

Requirements

  • Bachelor’s degree in computer science, software engineering, data science, information systems or a related field; Master’s degree preferred
  • 4-6 years of experience in software development, data engineering or business intelligence with exposure to AI/ML applications
  • Proven experience integrating APIs and cloud services into enterprise applications
  • Familiarity with AI/LLM platforms (e.g., ChatGPT, Copilot, Snowflake Cortex) and embedding them into BI or application workflows
  • Experience working in financial services or large-scale enterprise environments (preferred)

Skills

  • Strong skills in API integration, workflow automation and application development
  • Hands-on experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate)
  • Proficiency in SQL, Python or JavaScript for data and app integrations
  • Understanding of prompt engineering, LLM behavior and AI feature optimization
  • Knowledge of Snowflake and modern cloud architectures (AWS, Azure, GCP)
  • Excellent problem-solving skills and ability to work across technical and business teams
  • Strong communication and documentation skills, with the ability to explain technology-based solutions to non-technical collaborators

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 BlackRock, 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

$114B

Valuation

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

4,680 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

VP

Director

Junior/L3 · Data Scientist Analyst

0 reports

$123,312

total per year

Base

-

Stock

-

Bonus

-

$104,815

$141,809

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