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BlackRock
Artificial Intelligence Engineer, Portfolio Management Group, Associate
BlackRock
Gurugram•Hybrid•3-6 Yrs•Jul 7
Job description
Hybrid
Overview
PMGTech is the horizontal technology platform within BlackRock’s Portfolio Management Group (PMG), integrating investment research with advanced engineering, AI, and alternative data to make technology a direct driver of alpha.
Responsibilities
- Design architectures for AI-powered research applications leveraging Generative AI capabilities (RAG, agentic workflows, search, model fine-tuning).
- Partner with investors to translate open-ended research questions into feasible AI-driven product concepts.
- Be hands-on in leading the lifecycle from POC to MVP to production for AI applications, including data pipelines and backend integration.
- Own the end-to-end user experience of investor-facing research apps, including intuitive front-end UI designs.
- Evaluate emerging models and APIs; define best practices for prompts, safety, reliability, and testing with internal and external tech teams.
- Leverage enterprise data engines, orchestration frameworks, and secure/observable production practices with Engineering Hub and Platforms.
- Implement monitoring, observability, evaluation frameworks, and data-quality safeguards for GenAI-powered research applications.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or equivalent.
- 3+ years of
Qualifications
- Hands-on experience building and deploying AI systems end-to-end - including LLM workflows, prompt engineering, RAG pipelines, entity extraction, embeddings/vector search, text2sql, fine-tuning, evaluation, and backend integration using Python and SQL.
- Strong written and oral communication skills and ability to work directly with investors and senior partners is a must.
- Domain specific experience is a plus - building data-driven / research applications for investment research, investment management or financial services.
- Hands-on experience with any major cloud platform, proficiency in front-end or full-stack development is a plus.
- Preference for prior experience with open-source language models and actively staying current with developments in the rapidly evolving generative AI landscape.
- Understanding of investment strategies and asset classes is a plus.
- 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 standards for quality, reliability, and safety in AI systems.