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 G&A 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 S&M + G&A 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 G&A 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 G&A 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 S&M + G&A 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, Security, Legal, and Compliance to ensure all deployments meet data governance and access control requirements.

What We're Looking For

Hands-on technical depth

• You write code, build agents, and debug production systems. This is not a delegating-only role and you should not want it to be.

• Strong working knowledge of LLM and agent behavior: prompting, context management, tool use, RAG, MCP, evals, and failure modes.

• Comfortable with CLIs, APIs, webhooks, SQL, Python scripting, and cloud platforms. You can integrate with enterprise systems — CRM, ERP, ticketing, document stores — and handle the messy reality of enterprise data.

• Experience running agents in production with formal KPI tracking, eval frameworks, and observability standards.

Leadership and business partnership

• Track record of leading technical teams while remaining a meaningful technical contributor yourself.

• Ability to earn trust with senior business stakeholders and translate their goals into an executable roadmap with clear sequencing and trade-offs.

• Strong written and verbal communication. For example, you can make a complex AI system legible to a CFO and a business constraint legible to an engineer.

• Comfortable being the most technically credible person in a business review and the most commercially grounded person in a technical design session.

Operational rigor

• Security and compliance mindset: least-privilege, auditability, and safe rollback are second nature.

• Experience owning handoff processes and governance frameworks — not just deploying fast, but deploying durably.

• You think in outcomes and KPIs, can defend prioritization calls, and hold yourself to the same production standards you hold your team to.

Nice to Have

• Prior experience in forward-deployed engineering or Data/AI related technical operations.

• Hands-on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or directly against a model API.

• Background in or deep familiarity with one or more SG&A functions: Finance, Sales Ops, Legal Ops, HR, or Customer Experience.

• Experience in regulated environments: HIPAA, SOC 2, GxP, or SOX.