Artifical Intelligence Engineer, Portfolio Management Group, Vice President

BlackRock

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

About this role

Team Overview

Data Strategy & Solutions is a Global Research & Data team within BlackRock Portfolio Management Group (PMG) focused on developing AI powered products and generating actionable insights using alternative primary and big data. We are seeking an experienced Data Scientist with experience in Large Language Models Natural Language Processing (NLP) and Transformer Models to spearhead the build-out of AI powered capabilities within Investment Research Product Strategy and Process Optimization.

There are four groups within Data Strategy & Solutions Investment AI Insights & Data Products Solutions and Platform. All these groups work towards various aspects of Alpha Generation using Alternative data for a host of portfolio management functions.

As a member of Investment AI you will be working with Investment Researchers and Portfolio Managers to build capabilities that enable alpha generation and streamlining research processes using Generative AI and Natural Language understanding techniques.

Role Overview

The AI Lead is an investor-facing technical partner with deep AI data and systemsexpertisewho designs and builds AI-powered research applications that integrate seamlessly into investor research workflows.

AI Leads sit within research pods and collaborate directly with investors across Portfolio Management Group (PMG) to understand their business map research workflowsidentifyopportunities for AI leverage and translate those into intuitive scalable research applications.

They own the technical vision design architecture and product experience of specific research apps partnering with Research EngineersEngineeringHuband Platformto ensure these applications are robust usable and aligned with investorobjectives.

Key Responsibilities

AI System Design & Architecture

  • Lead architecture and design of pod-level AI-powered research applications.

  • Build andoptimizeLLM-based features retrieval flows (RAG) agent workflows and search capabilities.

  • Leverage enterprise platform capabilities (data engines data model servicesorchestrationandcomputeinfrastructure) to deliver scalable AI systems.

  • Collaborate with Engineering Hub and Platform to ensure solutions are production-ready secure observable and aligned with engineering best practices.

Investor-Facing Research Partnership

  • Serve as the technical partner to investors - deeply understanding their business needs research workflows and analytical challenges.

  • Identifyopportunities to embed AI automation and advanced analytics into investor workflows.

  • Translate open-ended research questions into clear technicallyfeasibleproduct concepts.

  • Present prototypes demos and insights to investors for feedback and iteration.

Application Development & Product Experience

  • Own the end-to-end user experience and functionality of theinvestorpods research apps.

  • Partner with Full Stack Engineers to design high-quality intuitive UIs for investment workflows.

  • GuideResearchEngineers on data preparation and structuring for AI apps.

  • Collaborate on workflow integration ensuring apps fit naturally into investor research processes.

AI Capability Development

  • Drive the lifecycle from POC toMVP to production-grade AI applications.

  • Evaluate new AI models APIs and frameworks for potential research impact.

  • Prototype emerging AI capabilities (summarization reasoning search classification agent tooling).

  • Establish best practices for prompt design evaluation safety reliability and model testing.

  • Partner with internal and external technology teams toleveragestate of the artAI tools to serve investor requirements.

Cross-Functional Collaboration

  • Partner with Ops Intelligence to embed monitoring observability and data-quality safeguards into AI apps.

  • Work with Workflow Automation Engineers to integrate internal tools platform capabilities and reusable components.

  • Contribute to architecture reviews and cross-pod technical patterns.

  • Collaborate with Research Engineers to align data workflows and AI requirements.

  • Collaborate with Platform to enhance and improve existing capabilities or add new capabilities building upon insights from client interactions.

Qualifications

Required:

  • Bachelors orMasters degree in Computer Science Data Science AI/ML or equivalent.

  • 5 years ofworkexperience delivering MLAIanddata-intensive systems.

  • Hands-on experience building and deploying AI systems end-to-end-including LLM workflows prompt engineering RAG pipelines embeddings/vector search fine-tuning evaluation and backend integration using Python and SQL.

  • Strongwritten and oralcommunicationskillsand ability to work directly with investors and senior partners.

Preferred:

  • Domain specific experience is a plus - building data-driven / analytical applications for investment research investmentmanagementor financial services.

  • Hands-on experience with cloud platforms (AWS/GCP/Azure/Snowflake) and enterprise AI infrastructure including model deployment and monitoring.

  • Having worked with open-source language models and keen interest in staying current with developments in the rapidly evolving generative AI landscape.

  • Exposure tomulti-modal models and applications.

  • Proficiencyinfront-end or full-stack development patterns for research apps.

Key Attributes

  • Deep curiosity about investment management and investment research.

  • Ability to translate business and research needs into technical solutions.

  • Technical leadership from concept to implementation.

  • Strong product intuition and user-centric thinking.

  • Ability to simplify complex AI systems into intuitive user experiences.

  • High standardsfor quality reliability and safety in AI systems.

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

About this roleTeam OverviewData Strategy & Solutions is a Global Research & Data team within BlackRock Portfolio Management Group (PMG) focused on developing AI powered products and generating actionable insights using alternative primary and big data. We are seeking an experienced Data Scientist w...
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Key Skills

  • Change Management
  • Financial Services
  • Growing Experience
  • Managed Care
  • Management Experience
  • Analysis Skills
  • Senior Leadership
  • Performance Management
  • Process Management
  • Leadership Experience
  • negotiation
  • Analytics

About Company

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BlackRock is one of the world’s preeminent asset management firms and a premier provider of investment management. Find out more information here.

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