Director, Forward Deployed AI Engineering

About the Role The Head of AI Solutions will lead a Forward Deployed AI engineering team and owns the delivery of AI-powered workflow transformation across Sales Marketing, Finance, Legal, HR, Business Development, Business Operations and other related GA functions. This is a player-coach role in the truest sense: you lead a team of Forward Deployed AI Solutions Engineers, but you are also consistently in the work alongside them — scoping workflows, building, debugging, and iterating in production. We believe the pace of change in AI makes proximity to the work non-negotiable at every level of the organization. The expectation is that roughly half your time is spent building and shipping alongside your engineers, using that firsthand knowledge to make better prioritization calls, give feedback, and earn the trust of both your team and the business stakeholders you serve. You partner closely with the AI Platform team to ensure every workflow transitions cleanly to long-term ownership, and you bring patterns and reusable assets back to the broader AI Automation organization. What You'll Own Build and ship alongside your team Spend meaningful time as a hands-on contributor — scoping workflows end-to-end, building agents and automation pipelines, debugging integration issues, and tuning prompts and context in production. Set the technical bar through your own work: production-grade evals, observability, clean handoff documentation, and rigorous testing before anything ships. Jump in when a deployment is stalled, a system integration is unexpectedly gnarly, or a workflow needs a senior engineer's judgment to get unstuck. Lead and develop the Forward Deployed team Hire, manage, and develop Forward Deployed AI Solutions Engineers embedded across SM + GA domains. Set clear success criteria for each deployment — throughput, quality, cost, human intervention rate, cycle time — and hold the team accountable. Ensure the team brings patterns, reusable assets, and hard-won learnings back to the central AI Data organization so the whole company compounds on what you build. Partner with Sales, Marketing and GA leadership to set and execute the roadmap Maintain a prioritized pipeline of AI and automation opportunities surfaced through domain embeds, business reviews, and your own discovery work. Build and present business cases with projected ROI and clear KPIs to gain alignment from domain leadership, your manager, and your peer AI Forward Deployed Engineering Leads Act as a trusted technical advisor to Sales, Marketing, and GA function heads — translating their goals into a grounded, sequenced roadmap and keeping them informed as priorities shift. Own the full deployment lifecycle — including handoffs to Platform Drive deployments from discovery through production: workflow design, agent build, integration, human-in-the-loop checkpoints, evals, observability, and enablement. Leverage the Platform to accelerate your build and ask the Platform engineering team to add more reusable features to the Platform to accelerate future builds Partner with the Platform Engineering team to establish and follow handoff standards — ensuring every workflow transitions with proper documentation, runbooks, SLAs, and instrumentation in place. Re-engage when business conditions change materially and a handed-off workflow needs meaningful rework. Instrument observability across all deployed workflows: tracing, structured logs, dashboards. Navigate stakeholders and manage delivery Serve as the primary contact for SM + GA function heads throughout every AI initiative, from kickoff through sustained production operation. Drive change management: prepare stakeholders for new workflows, set expectations on human review requirements, and push for adoption beyond initial launch. Report progress and business impact to the Head of AI/ML Data function on a regular cadence, translating technical metrics into business outcomes. Partner with IT, Sec ... (truncated, view full listing at source)