Head of Generative AI Location: Nashville, TN | Team: Engineering | Level: Engineering LeaderAbout the Role We’re seeking a Head of Generative AI to lead our AI vision, strategy, and execution. In this high-impact leadership role, you’ll own the development of GenAI products from concept to production, act as a technical partner to product and executive teams, and build and scale our GenAI capabilities from the ground up. This is a unique opportunity for someone who thrives at the intersection of technical innovation, AI product development, and cross-functional leadership—and is excited to turn the latest advancements in LLMs into real business value.What You’ll Do
Define and own our GenAI strategy: Lead the roadmap for integrating generative AI across products and workflows, aligning with company goals and user needs.
Lead cross-functional execution: Partner with product, design, engineering, and executive leadership to prioritize, prototype, and launch GenAI-powered features.
Architect intelligent systems: Oversee the design and implementation of RAG pipelines, agentic workflows, document intelligence, and LLM orchestration.
Build and scale a team: Hire, mentor, and lead a high-performing team of AI engineers and researchers as the GenAI function grows.
Drive experimentation at scale: Establish frameworks for rapid testing of models, prompts, and workflows to optimize for quality, cost, and speed.
Champion responsible AI: Ensure ethical use of generative technologies, establishing standards for model evaluation, data handling, and user trust.
Represent AI internally and externally: Be the internal thought leader on GenAI and a visible advocate for innovation across the organization.
What You Bring
8–12+ years of experience in AI/ML or software engineering, with a strong focus on Generative AI, LLMs, and applied AI systems.
3+ years in a technical leadership or head-of role, ideally in a high-growth startup or product-led environment.
Proven track record delivering production-grade GenAI systems—from prototypes to scaled deployment.
Deep understanding of LLMs, prompt engineering, RAG, embeddings, and agentic systems.
Hands-on experience with tools like LangChain, LlamaIndex, and vector databases (e.g., Pinecone, Weaviate, FAISS).
Strong technical acumen across software engineering, model evaluation, and infrastructure (preferably AWS).
Excellent communication and leadership skills—you know how to align stakeholders, drive execution, and inspire teams.
Bonus Points For
Experience building AI teams from scratch or scaling a GenAI function in an early-stage company.
Familiarity with intelligent document processing (IDP), OCR, or semantic document understanding.
Background in AI research, open-source contributions, or prior roles bridging product and applied research.
Passion for AI ethics, transparency, and responsible deployment of LLMs.
Why Join Us You’ll lead the charge in shaping the future of AI at our company, with the freedom to innovate, the support of executive leadership, and the chance to build a legacy. If you’re ready to take ownership of building GenAI systems that change how people work—this is your role.