People AI Lead - Prototyping & Production Solutions

Referment; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Referment partners with a global investment and technology firm to hire a senior engineer who will lead practical AI initiatives within its people function. You will work across human capital, product management and software engineering to translate talent needs into useful, governed AI solutions.

The role blends hands-on prototyping with strategic direction: build Python prototypes, guide production integration, evaluate outcomes and help colleagues adapt as models evolve.

Qualifications

• Bachelor's degree and at least six years' experience in human capital, data science or technology development, including exposure to AI.
• Strong Python and data skills, with practical familiarity with LLMs, RAG, agentic architectures and modern AI development tools.
• Knowledge of statistical methods; social-science research experience is useful.
• Evidence of delivering across ambiguous, cross-functional workstreams and influencing stakeholders.

Responsibilities

• Identify high-value AI use cases with internal stakeholders and translate them into well-scoped technical solutions.
• Design and deliver Python prototypes, then partner with product and engineering teams to integrate successful features.
• Evaluate AI tools through user feedback and outcome monitoring, recommending improvements.
• Set technical direction across models, tooling, prompt design, retrieval and agentic approaches.
• Mentor junior colleagues and communicate clearly with technical and non-technical stakeholders.

Skills

Python

Data analysis

LLMs

RAG

Agentic AI

AI tooling

Education

Bachelor's degree

Tools

LLM tooling

RAG tooling

Job description

Referment partners with a global investment and technology firm to hire a senior engineer who will lead practical AI initiatives within its people function. You will work across human capital, product management and software engineering to translate talent needs into useful, governed AI solutions.

The role blends hands-on prototyping with strategic direction: build Python prototypes, guide production integration, evaluate outcomes and help colleagues adapt as models evolve.