AI Services Consultant

Role Overview

The AI Services Consultant is a consulting pre-sales partner within each regional AI POD, working alongside an AI Solutions Executive and AI Solutions Architect. This role uncovers client business needs, positions consulting services engagements across all AI GTM categories, and conducts initial discovery and qualification. The role is critical because AI infrastructure investment decisions are closely linked to the services that unlock AI's business value while managing risk.

What You Will Do

Position and conduct initial discovery to scope consulting services engagements across all AI GTM categories. Sell service motions including AI security, data readiness & governance, use-case acceleration, ATC-hosted AI lab services, operational acceleration programs, AI Factories (design, build, operate), workforce adoption & innovation, and coding assistants. Collaborate with the AI Solutions Architect and SSAs to define the right entry-point services (assessments, workshops, roadmaps, pilots) and sequence multi-phase programs that expand over time.

Why It Might Be a Fit

The role requires demonstrated multi-year track record personally originating and closing complex services deals ($1M+ TCV, 6–12-month sales cycles, across multiple stakeholders). The ideal candidate will have 10+ years in technology consulting, services sales, or practice management at a solutions provider, consultancy, or systems integrator.

Requirements

• Demonstrated multi-year track record personally originating and closing complex services deals ($1M+ TCV, 6–12-month sales cycles, across multiple stakeholders)
• 10+ years in technology consulting, services sales, or practice management at a solutions provider, consultancy, or systems integrator
• Demonstrated executive presence and credibility with C-suite and senior IT and business leaders (CxO)
• Proven ability to lead strategic conversations about AI ambition, business outcomes, and investment trade-offs – not just technical capabilities
• Direct experience scoping and selling data, AI, analytics, or cloud consulting engagements, with command of services economics: deal shapes, market pricing, and margin dynamics
• Practical knowledge of enterprise AI use cases at the engagement level – able to define workshops, data readiness assessments, and operational acceleration programs with specific activities and deliverables
• Understanding of the coding assistant (AI Native Engineering) and workforce AI landscape; able to scope developer productivity assessments, pilots, adoption services, and ROI engagements
• Working knowledge of data engineering, governance, cloud data platforms, data foundations, and security solutions required for enterprise AI
• Bachelor's degree required

Benefits

• Health and Wellbeing: Combined Health Insurance, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement