Company
Technology
DirectorofAIProfessionalServices
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“Director of AI Professional Services. Skills: AI Professional Services, LLM Solutions, Team Leadership, Commercial Management. Lead AI solution delivery. Prototype AI solutions”
What You'll Achieve.
Achieve revenue targets; Achieve margin performance
Industry & Context.
Troubleshooting production issues; Cost optimization; Scalability; Security; Reliability; Maintainability
What They're Looking For.
Must Have
7+ years experience in professional services, consulting, or solutions delivery, Proven commercial ownership experience, Manage revenue targets, SOWs, and P&L responsibility, Hands-on experience with AI-assisted development tools, Ability to rapidly prototype and ship working solutions, Deep understanding of LLM application patterns, Ability to operate effectively in technical environments, Ability to operate effectively in executive-level client discussions, Demonstrated experience building and scaling teams, Judgment around production readiness
Nice to Have
Exposure to enterprise software, Exposure to cloud platforms, Exposure to regulated industries, Familiarity with MLOps, Familiarity with vector databases, Familiarity with AI safety considerations
What You'll Do.
Lead AI solution delivery
Prototype AI solutions
Demo AI solutions to clients
Deploy LLM-based systems
Deploy agentic systems
Design scalable AI service offerings
Deliver discovery workshops
Deliver proof-of-concept engagements
Deliver managed AI solutions
Oversee solution transition to production
Ensure reliability in production
Ensure monitoring in production
Ensure cost optimization in production
Align solutions with product strategy
Establish responsible AI delivery standards
Manage AI system lifecycle
Own professional services P&L
Achieve revenue targets
Achieve margin performance
Partner with sales teams
Scope AI services opportunities
Price AI services opportunities
Close AI services opportunities
Identify expansion within accounts
Build AI services team
Hire AI services team
Scale AI services team
Define delivery frameworks
Define best practices
Define operational playbooks
Collaborate with product teams
Collaborate with engineering teams
Feed client insights into roadmap
Feed client insights into platform evolution
How You'll Work.
Team & Collaboration
Cross-functionally with product; Cross-functionally with engineering; With sales teams; With hiring managers
Communication Scope
Client demos; Executive discussions
Process & Methodology
P&L management, Forecasting, Roadmap development
Full Job Description
## Accountabilities Lead AI solution delivery from discovery to production, including rapid prototyping, client demos, and deployment of LLM-based and agentic systems tailored to business needs. Design and deliver scalable AI service offerings such as discovery workshops, proof-of-concept engagements, and managed AI solutions. Oversee transition of solutions into production environments, ensuring reliability, monitoring, cost optimization, and alignment with long-term product strategy. Establish responsible AI delivery standards, including data governance, model selection, security, privacy, and lifecycle management of AI systems. Own the professional services P&L, including revenue targets, margin performance, forecasting, and overall financial accountability. Partner with sales teams to scope, price, and close new AI services opportunities while identifying expansion within existing accounts. Build, hire, and scale a multidisciplinary AI services team, while defining delivery frameworks, best practices, and operational playbooks. Collaborate cross-functionally with product and engineering teams to feed client insights into roadmap development and platform evolution. Requirements: 7+ years of experience in professional services, consulting, solutions delivery, or similar roles within AI, SaaS, or data-driven environments. Proven commercial ownership experience, including managing revenue targets, SOWs, and professional services P&L responsibility. Strong hands-on experience with AI-assisted development tools (e.g., Cursor, Copilot, Claude, v0, Replit) and ability to rapidly prototype and ship working solutions. Deep understanding of LLM application patterns, including RAG, agents, prompt engineering, tool use, and optionally fine-tuning. Ability to operate effectively in both technical environments (engineering collaboration) and executive-level client discussions. Demonstrated experience building and scaling teams in fast-paced, ambiguous, or early-stage environme
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