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Tier-1 brand plus remote and metro location increase applicant density, but senior specialized role tempers competition.
Investor-facing AI systems and finance domain knowledge make skills less transferable across industries.
Explicit 7+ years and mandatory hands-on LLM/GenAI, cloud, production experience enforce strict filters.
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Design and architect end-to-end AI-powered research applications integrating Generative AI techniques for investor workflows.
Collaborate directly with portfolio managers and researchers to translate business needs into scalable AI-driven products and lead their delivery from proof-of-concept to production.
Own the technical vision, user experience, monitoring, and quality assurance of investor-facing AI research applications within PMGTech ecosystem.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or equivalent.
7+ years of experience delivering ML, AI, and data-intensive systems at VP level (3-7 years for Associate level).
Hands-on expertise with Python, SQL, LLM workflows, prompt engineering, RAG pipelines, embeddings, fine-tuning, and backend integration.
Location: Gurgaon, India; ability to work 4 days/week onsite as per hybrid work model.
Experienced AI technical leader adept at bridging investor research needs with scalable AI application development.
Strong background in Generative AI technologies combined with practical knowledge of investment management or financial services domain.
Capable of driving product-centric AI solutions with strong focus on reliability, safety, usability, and end-to-end lifecycle ownership.