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Tier-1 brand, mid-level AI role in a metro attracts many qualified applicants.
Technical ML skills are transferable, but investor-facing finance domain expertise increases sensitivity.
Explicit 3+ years and hands-on LLM/RAG production experience and specific tech requirements increase selectivity.
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Design and own AI-powered research applications integrating Generative AI capabilities within investor workflows.
Collaborate directly with investors to translate research needs into scalable, production-grade AI solutions from POC to production.
Lead technical vision, architecture, and user experience for research apps, ensuring robustness, usability, and alignment with investment objectives.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or equivalent.
3+ years of experience delivering ML, AI, and data-intensive systems including end-to-end AI solutions (LLM workflows, prompt engineering, RAG pipelines, etc.).
Proficiency in Python and SQL; hands-on experience with major cloud platforms is preferred.
Work Experience Required: Minimum 3 years experience in ML/AI and data systems.
Experienced in building AI research applications with deep collaboration with investment professionals or similar domain experts.
Technical leadership in AI product lifecycle from concept through production with strong product intuition and user-centric design capability.
Familiarity with investment management or financial services research workflows and a strong understanding of GenAI developments.