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Senior AI Engineer, HCM/Talent Management

Posted today

1872 consultingManhattan (NY)

SENIORITY

Lead

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About the role

Senior AI Engineer – Talent Management New York City – Onsite 3 days per week*Must be US Citizen or Green Card holder to apply, no Contract or C2C arrangements are available for this opportunity*Position Summary This role is available with one of the most prestigious and selective firms in Global Finance. This individual will play a central role in guiding the development and implementation of AI solutions that enhance the firm’s approach to attracting, assessing, and developing talent. The position offers the opportunity to lead strategic initiatives at the intersection of technology, people strategy, and product innovation, collaborating with colleagues across human capital, product management, and software engineering.
Responsibilities: Collaborate with internal stakeholders to identify where AI can transform work, translating business needs into practical, well-scoped solutions. Own the design and delivery of prototype solutions for high-impact use cases using Python. Drive integration of AI features across product and engineering teams, aligning with the firm's technical architecture and governance standards. Lead the evaluation and continuous refinement of AI tools by gathering feedback, monitoring outcomes, and recommending improvements. Set the team's point of view on the evolving AI landscape, guiding strategic and tactical decisions on new models, tooling, and best practices. Mentor and guide junior team members, setting technical direction and fostering a culture of learning.
Requirements:
  • PhD and 6+ years of experience in AI, machine learning, or data science
  • Strong Python and data fluency, with solid knowledge of statistical methods
  • Experience with RAG and agentic architectures, plus familiarity with LLMs and AI coding tools such as Cursor or Claude CodeProven ability to translate business needs into practical AI-driven solutions
  • Excellent organizational, interpersonal, and written communication skills
Bonus points if you have: People management experience Background in social science research or people analytics

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