Lead AI Engineer (GenAI)

Renuity • Charlotte, NC

1d

About The Position

The Lead AI Engineer (GenAI) will design and deploy GenAI solutions that will meaningfully improve productivity through automation. This role centers on building secure, reliable AI-powered applications that automate multi-step workflows across marketing, sales, contact centers, and operations, with a strong emphasis on quality, safety, and measurable business impact.

Requirements

• Master’s degree in a related field (e.g., Computer Science, Data Science, Human-Computer Interaction, Engineering) or equivalent practical experience.
• 6+ years of experience in applied AI, including shipping production applications.
• Demonstrated experience building GenAI/LLM applications used by real users (internal or external).
• Strong integration skills: APIs, services, data access patterns, logging/monitoring, and secure handling of sensitive information.
• Experience with at least one major cloud platform (AWS, Azure, or GCP) and production logging/monitoring practices.
• Comfort operating in ambiguity and iterating quickly from pilot to scaled deployment with measurable outcomes.
• Strong stakeholder partnership skills and a practical mindset focused on business impact.
• Comfortable working cross-functionally with Product, Engineering, Operations, and business leaders.

Responsibilities

• Build and deploy GenAI-powered applications (copilots, assistants, workflow automations) that integrate with internal and external systems.
• Develop agentic workflow automations that can complete multi-step tasks under defined guardrails and human oversight where appropriate.
• Connect GenAI solutions to enterprise knowledge and systems (e.g., CRM, sales, content repositories) to deliver accurate, context-aware outputs.
• Create evaluation and monitoring approaches, so outputs are measurable (quality, correctness, user value), and usage costs are tracked and optimized.
• Partner with stakeholders to identify high-value workflows, define adoption plans, and drive measurable productivity gains.
• Contribute to responsible AI practices (data handling, access control, content risk mitigation) and internal enablement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees