Forward Deployed AI Lead
Skills
AdoptionContextIT StrategyMicrosoft SurfaceOperating ModelsPEReadiness
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 10+ years of software development or technical architecture experience across varied stacks and cloud environments
- 3+ years in engineering leadership technical consulting solutions architecture or a combination
- Hands-on familiarity with modern AI engineering workflows and agentic tooling
- Experience designing or advising on AI operating models technology adoption strategies or transformation programs
- Ability to engage across lines of business from engineering to operations
- Strong executive communication with CTOs VPs of Engineering and business leaders
- Demonstrated ownership of enterprise consulting engagements with executive stakeholders scope delivery quality and commercial outcomes
Nice to have
- Ownership mindset
- Executive presence
- Technical breadth
- Business acumen
- Strategic thinking
- Mentorship
Day to day
- Own AI transformation engagements from discovery through executive handoff, aligning customer outcomes, technical direction, delivery execution, scope, and partnership into a single plan.
- Run structured discovery across engineering, product, and business stakeholders to map context, AI readiness, and economic opportunity.
- Design target architectures and AI operating models that guide governance, delivery priorities, and scalable AI adoption in production.
- Lead executive relationships, shape follow-on scope, mentor technical teams, and surface expansion opportunities across the account.