Board of Innovation

AI Engineer

• Lead day-to-day delivery of complex AI engagements across strategy, product, technology, and transformation
• Connect AI initiatives to business cases, roadmaps, capabilities, operating changes, and adoption
• Help clients identify where AI can create meaningful value and determine what needs to change for solutions to succeed at scale
• Translate lessons from products and use cases into broader organizational implications
• Translate business priorities and user problems into AI opportunities
• Lead product discovery with client teams and end users
• Shape AI products and solutions from concept through prototype, build, deployment, and adoption
• Define priorities, success measures, and the optimal path to value
• Lead AI engineers, designers, and client teams across business, user, and technical needs
• Prototype and test ideas using modern AI tools, agents, workflows, and automations
• Own delivery across multiple workstreams, structure work, set priorities, and solve problems proactively
• Build trusted relationships with senior client stakeholders through workshops and challenging assumptions
• Take increasing ownership of client relationships, proposals, and commercial opportunities

Applied AI Lead

Full-stack Engineer

• Own the technical delivery of demanding enterprise AI builds end to end
• Shape technical scope, solution approach, team composition, timeline, proposals, and estimates
• Lead architecture, document technical decisions, review engineering work, and manage progress, trade-offs, and risks
• Build prototypes, hard integrations, and critical-path fixes when needed
• Deliver production-grade systems, including agentic systems, LLM-powered services, and supporting platforms
• Serve as the client's technical counterpart and explain technical decisions to non-technical stakeholders
• Navigate enterprise approvals, platform teams, security reviews, and organizational constraints
• Work on internal tooling and templates between client builds
• Mentor engineers on project teams
• Report directly to the Engineering Director
• Run one flagship build nearly full-time or two or three smaller builds concurrently, depending on the portfolio

Applied AI Lead

Tech Lead