Jobs at Board of Innovation

Leads complex applied AI engagements from opportunity identification through product discovery, prototyping, deployment, and adoption. Connects AI solutions to broader business transformation, roadmaps, operating models, and measurable outcomes. Leads engineers, designers, and client teams, manages delivery across workstreams, facilitates senior stakeholder relationships, and contributes to proposals and commercial growth. Requires hands-on experience building AI workflows, automations, agents, copilots, or prototypes.

Lead end-to-end delivery of enterprise AI builds, from solution shaping and architecture through production deployment in client environments. Own technical decisions, estimates, engineering quality, integrations, infrastructure, and stakeholder communication. Build critical-path components, mentor project engineers, manage technical risks, and contribute to internal tooling. The role requires applied AI expertise across agents, tool use, retrieval, MCP, evaluations, and production LLM systems, plus strong consulting and client-facing judgment.

Lead end-to-end delivery of complex AI transformation programs: structure opportunities, build business cases and roadmaps, design operating models, drive change, engage C-suite, and develop reusable AI IP while coaching teams.

Lead end-to-end AI transformation engagements for enterprise clients: structure opportunities, build business cases and roadmaps, design operating models, drive change, mentor teams, and contribute to proposals and commercial growth while building practical AI workflows and tools.

Lead AI strategy and engineering engagements, identify growth opportunities, design solutions, and manage client relationships effectively.

The Full-Stack Engineer will build AI-integrated products, handling front-end and back-end development, as well as testing and deployment processes, while collaborating with others on technical solutions in a consulting environment.

Lead AI transformation engagements focusing on strategy, delivery, and client outcomes while managing proposals and team coordination.

As an AI Engineer, you'll design and build AI systems for production applications, focusing on client solutions and maintaining system performance through evaluations and observability.

Lead end-to-end AI transformation engagements: define strategy, scope use cases, build and deploy AI products to production, drive adoption and measurable value, grow accounts via proposals, and coach teams while championing AI-first practices.