At Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.
We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.
About the RoleWe’re building the next generation of autonomous software employees—agents who don’t just assist but own workflows end to end. As our Head of AI, you’ll lead the charge in architecting, scaling, and evolving the core AI systems powering Ava and future Artisans.
This is a high-impact leadership role where you’ll combine hands-on engineering, strategic technical vision, and team building to push the limits of what agentic AI can do.
You won’t just manage an AI roadmap—you’ll help invent the future of work. From shipping fully autonomous agents to building adaptive learning loops across users and industries, this role is central to making Ava smarter, faster, and more valuable every single day.
What You'll DoDefine and lead the technical roadmap for all AI initiatives—LLM pipelines, reasoning systems, agent architecture, and adaptive feedback loops.
Build and scale a world-class team of ML, applied AI, and agentic system engineers.
Architect and oversee the development of end-to-end agentic workflows—from prompt design to tool orchestration to behavior modeling.
Collaborate closely with product, engineering, and design to embed intelligent behaviors throughout our user experience.
Stay on the edge of LLM, RLHF, RAG, and agentic research—and drive rapid implementation of relevant innovations.
Establish safety, performance, and observability standards for all AI systems in production.
6+ years of experience in ML/AI, with 2+ years in technical leadership roles (staff engineer, team lead, or higher).
Deep experience working with LLMs in production (e.g., fine-tuning, prompt chaining, agent design, vector databases).
Strong backend engineering skills in Python and fluency in modern MLOps and orchestration tools (MLflow, LangChain, LangGraph, etc).
Proven success building and scaling real-world AI applications and systems with measurable impact.
Strategic thinker with strong execution skills—comfortable making architectural decisions while staying close to the code when needed.
Excellent communicator and cross-functional collaborator; comfortable aligning stakeholders and mentoring technical talent.
Build the future of work by pioneering a new AI-native product category.
Collaborate with a mission-driven, ambitious, and high-caliber team.
Competitive salary, generous equity, and full benefits.
Regular company off-sites and team events.
Fast-moving culture where you'll ship meaningful work every week.
_0.png)
