Job description
This is a remote position.
AI CoE (Center of Excellence) Lead
Location:Remote; ~30% Travel required (Domestic & International)
Position Type:Full-Time Leadership (Director Level)
About the Role
We are seeking a visionary, hands-on AI CoE Lead to drive the architecture, engineering, and deployment of our AI-native solutions across Pharma & Life Sciences, HiTech, and BFS. Partnering closely with the CTO and Head of Sales, you will champion a spec-driven development approach, leveraging AI to build rapid prototypes and create highly differentiated functional/technical specifications. You will lead an elite team of Forward Deployed Engineers (FDEs) who embed directly within client workflows to translate these specs and prototypes into production-grade software.
Key Responsibilities
Spec-Driven Development & AI Prototyping:Pioneering a spec-driven engineering framework; leveraging AI coding tools and automation to build rapid, high-fidelity prototypes. Translate complex domain workflows into highly differentiated functional/technical specifications that power client demos, product buildouts, and seamless downstream implementations.
AI Architecture & Industry Solutions:Drive the technical vision and modular expansion of our AI platform across Pharma (clinical/R&D), HiTech (engineering workflows), and BFS (risk/operations).
Lead Forward Deployed Engineers:Hire, mentor, and scale a team of FDEs who sit directly with client teams, work inside their data environments, and ship production-ready tools into active workflows based on robust specs.
Sales & Demo Partnership:Collaborate with the Head of Sales and CTO on high-stakes enterprise pitches, delivering custom technical architectures, functional specs, and live prototype demos tailored to client needs.
Drive Workflow Adoption:Ensure models achieve sustained, unprompted daily usage by client teams. Translate client feedback directly back into core specs and product requirements.
Standardize Infrastructure:Establish best practices for MLOps, model evaluations, data governance, and shared pipelines ("build the plumbing once") to accelerate client go-lives from specs to deployment in weeks.
Functional Thought Leadership:Act as the primary Functional authority on specific areas to drive AI adoption, building deep credibility with client CxOs, R&D leaders, and business heads.
Qualifications & Experience
Spec-Driven & Rapid Prototyping Mastery:Demonstrated track record of using spec-driven development methodologies and leveraging AI tools (LLM coders, agentic workflows) to rapidly prototype, spec out, and validate complex enterprise software.
Multi-Domain Context:Proven track record of deploying AI/ML solutions in enterprise settings, with deep familiarity in at least one core vertical (Pharma, HiTech, or BFS) and rapid learning agility across others.
Technical Leadership:2+ years in AI/ML or enterprise software, with proven experience client-facing engagements from presales to implementation.
Deep AI/ML Expertise:Working knowledge of AI architecture, LLMs, RAG, NLP, and modern MLOps/data infrastructure.
Executive Communication:Exceptional ability to translate complex technical specs and prototypes for C-suite buyers and functional business leaders.
Core Mindset
Agile Builder:Combines high engineering standards with a bias for action, leveraging modern AI to accelerate prototyping and delivery.
Insanely Curious:Continuously tests, learns, and integrates emerging AI frameworks and development paradigms into real-world applications.
Cross-Functional Partner:Bridges the gap effortlessly between commercial strategy, core engineering, and end-user needs.
What We Offer
Competitive executive salary, equity options, and performance incentives tied to product milestones.
Complete ownership of AI product strategy, spec-driven engineering, team scaling, and platform execution.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.