AI Services Consultant - Central Region

World Wide Technology Healthcare Solutions•Bixby, OK

1d•Hybrid

About The Position

The AI Services Consultant is the consulting pre-sales partner within each regional AI POD. This role develops, scopes, and positions the consulting services engagements that translate AI strategy into funded projects across all AI GTM categories. This role is critical because AI infrastructure investment decisions are closely linked to the services that enable organizations to unlock AI’s potential business value while managing risk. Increasingly AI initiatives are gated by the customer’s ability to prove value through use cases, demonstrate data readiness, and operationalize AI workloads. The AI Services Consultant develops and packages the services engagements that remove these gates and accelerate the customer’s path from exploration to production. Additionally, this role develops and positions workforce AI and coding assistant services that represent a high-growth, high-attach consulting opportunity. Success requires a blend of services business acumen, AI use-case expertise, workforce AI fluency, and the ability to operate in the space between sales and delivery to develop service proposals during the sales cycle, present methodology to customers, ensure clean handoff to delivery teams, and build the next opportunity off the success of each services engagement.

Requirements

Minimum 10 years in technology consulting, services sales, or practice management at a solutions provider, consultancy, or systems integrator.
Direct experience scoping and selling data, AI, analytics, or cloud consulting engagements.
Must understand services economics: SOW development, effort estimation, margin dynamics, and utilization.
Practical knowledge of enterprise AI use cases at the engagement level with the ability to define workshops, data readiness assessment, and/or an operational acceleration program with specific activities and deliverables.
Understanding of the coding assistant (AI Native Engineering) and workforce AI landscape. Ability to scope developer productivity assessments, coding assistant pilots, adoption services, and ROI engagements.
Working knowledge of data engineering, governance, cloud data platforms, data foundations, and security solutions required for enterprise AI.
Comfortable developing service proposals during the sales cycle and presenting methodology to customers in competitive evaluations.
Experience collaborating across sales, architecture, and delivery organizations to ensure scope fidelity and clean handoffs.
Bachelor’s degree required.

Nice To Haves

Prior experience at a consulting firm in a client-facing, services sales or practice development role.
Experience designing engagements that leverage lab/PoC environments for customer validation.
Prior delivery management experience in addition to services sales/scoping.

Responsibilities

Develop, scope, and position AI consulting engagements across WWT's full GTM portfolio: AI Factory (design, build, operate), Pre-AI Factory, Workforce AI, and Coding Assistants.
Build the commercial infrastructure that enables fast, accurate proposals — including pricing models, SOW templates, packaged service offerings with defined deliverables, effort estimates, and margin profiles.
Service motions span AI security, data readiness and governance, use-case acceleration, ATC-hosted lab services, and AI Native Engineering.
Function as an integrated member of the three-person regional POD (AI Solutions Executive, AI Solutions Architect, AI Services Consultant), contributing to joint pipeline reviews, account planning, and weekly cadence.
Attach consulting services to every AI opportunity — whether infrastructure- or workforce-led — to create multi-phase engagement models that deepen account penetration.
Collaborate with the AI Solutions Architect to ensure service scopes are technically feasible and transition cleanly to delivery.
Embed with field sales teams to surface opportunities and present consulting value proposition during competitive evaluations where services differentiation is the deciding factor.
Develop business case models, TCO analyses, and consumption forecasts that justify GPU/compute investment in measurable business outcome terms.
Design ATC-hosted lab engagements (POCs, benchmarking, reference architecture validation) that de-risk AI Factory decisions.
Track consulting attach rates and delivery outcomes to demonstrate the link between services engagement and downstream infrastructure consumption.
Scope and position developer productivity assessments, coding assistant vendor evaluations, pilot program design, adoption metrics, and AI-generated code governance frameworks.
Develop enterprise copilot readiness assessments, workflow automation roadmaps, change management programs, and workforce AI ROI dashboards.
Maintain current knowledge of the competitive landscape including Microsoft 365 Copilot, GitHub Copilot, Google Gemini, ServiceNow AI agents, and emerging platforms.
Own a clean pre-sales-to-delivery transition by documenting scope, customer expectations, deliverable specifications, and resource requirements.
Participate in scope reviews and risk assessments to protect services margins and prevent over-commitment.
Capture delivery learnings and customer feedback to iterate on service packages and build additional pipeline from each successfully completed engagement.