Senior AI Engineer – Human Capital (886C6DF)

Referment; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Referment is seeking a senior AI engineer to lead practical AI initiatives across human capital, product management, and software engineering. You will translate talent-related needs into governed AI solutions and prototype Python features for production integration.

Role involves defining technical direction, evaluating tools, and mentoring colleagues while collaborating with stakeholders across functions to ensure responsible AI adoption.

Qualifications

• Bachelor's degree and at least six years' experience across human capital, data science or technology development, including exposure to AI.

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 skills

LLMs

RAG

Agentic architectures

AI development tools

Education

Bachelor's degree

Tools

AI development tools

Job description

Referment is working with a global investment and technology firm to find 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 turn talent-related business needs into useful, governed AI solutions.

The remit combines hands-on prototyping with technical direction. You will build in Python, guide integration into production products, evaluate outcomes and help colleagues make informed choices as models and tooling evolve.

The Role

• 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.

What We're Looking For

• A bachelor's degree and at least six years' experience across 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.
• Management experience is preferred rather than essential.

This could suit an applied AI or data-science leader who enjoys building prototypes while shaping how a people-focused product portfolio adopts AI responsibly.

#Referment