TRUGlobal
Website:
truglobal.com
Job details:
Job Description
AI Practice & Delivery Head (AI PDH)
Role Overview
We are seeking a senior AI Practice & Delivery Head to lead the strategy, go-to-market, and delivery of AI solutionsacross the organization. The ideal candidate will come from a strong engineering background (product or platform engineering) and have previously worked as an AI Solution Architect before moving into leadership.
This role will be responsible for building the AI practice, driving AI-led business growth, leading presales and solutioning, and delivering enterprise AI solutions for global clients.
Key Responsibilities
AI Practice Leadership
- Define and lead the AI strategy, roadmap, and service offerings for the organization.
- Build and scale the AI practice across multiple client accounts.
- Establish reusable AI frameworks, accelerators, and delivery methodologies.
Go-To-Market & Presales
- Lead AI go-to-market initiatives, working closely with sales and account teams.
- Drive presales, solution architecture, and proposal development for AI opportunities.
- Act as a technical leader in client discussions, workshops, and solution presentations.
Solutioning & Delivery
- Oversee end-to-end delivery of AI and data-driven solutions, including managed services engagements.
- Ensure delivery excellence across AI architecture, model development, deployment, and operations.
- Provide technical leadership in complex AI solution design and implementation.
Team Building & Hiring
- Build and lead a strong AI engineering organization.
- Hire and mentor Technical Delivery Managers (TDMs), AI Architects, and senior engineers across client accounts.
- Develop internal AI capabilities, training programs, and innovation initiatives.
Client Engagement
- Act as a trusted advisor to enterprise clients on AI transformation and adoption.
- Lead client-facing engagements including architecture reviews, solution workshops, and executive briefings.
- Collaborate with account teams to expand AI-led services and managed service opportunities.
Required Qualifications
- 15–20 years of total experience in engineering, AI, data platforms, or advanced analytics.
- Prior experience as an AI Solution Architect with strong engineering depth.
- Background in product engineering or platform engineering (not purely traditional IT services delivery).
- Proven experience building and scaling AI practices within technology or services organizations.
- Experience leading presales, GTM strategy, and client-facing solutioning.
- Strong expertise in AI/ML, Generative AI, data platforms, and cloud AI ecosystems.
- Demonstrated experience delivering enterprise AI solutions and managed services engagements.
- Experience travelling frequently to the US and working with global clients.
Leadership Expectations
- Ability to operate at the intersection of engineering, delivery, and business growth.
- Strong client engagement and executive communication skills.
- Track record of building high-performing engineering and AI architecture teams.
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