AI Evaluation Infrastructure & Production Readiness Lead

About the role

We have partnered with our client in their search for an AI Evaluation Infrastructure & Production Readiness Lead (Contract position).

Responsibilities

• Lead the development of client's enterprise AI evaluation and production readiness framework, establishing standardized testing, validation, governance, and go/no-go criteria that ensure AI systems are accurate, safe, compliant, and ready for enterprise deployment.
• Design and build scalable AI evaluation infrastructure, including evaluation harnesses, golden datasets, regression testing, hallucination and grounding validation, bias/fairness testing, adversarial testing, drift detection, automated monitoring, and production readiness controls.
• Partner with AI Engineering, Risk, Compliance, Legal, and Model Governance teams to translate regulatory and business requirements into repeatable AI testing methodologies, vendor evaluation standards, and evidence-based reporting for enterprise AI governance.

Skills Required

• 7+ years of experience in AI/ML Engineering, Software Quality Engineering, Data Science, or Machine Learning, with expertise in LLM evaluation, regression testing, statistical analysis, and production validation.
• Hands-on experience building and testing enterprise LLM/ML evaluation frameworks, including hallucination detection, grounding validation, bias/fairness testing, experimental design, AI safety, policy adherence, and production readiness.
• Strong expertise in AI testing methodologies, statistical experimentation, evaluation metrics, and acceptance criteria, with experience partnering across AI Engineering, Risk, Compliance, and Legal to implement enterprise AI governance and quality controls.

Qualifications

• Bachelor's Degree (pref. Computer Science, Engineering, IT, Data Science, or related fields)
• 7+ years of Professional Work Experience

Location: Remote
Client Industry: Financial Services
Compensation: $100+/hr