AI Data Center Services Architect: Scalable Delivery

Computacenter AG & Co. oHG; United States; Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation plans

Long-term career opportunities

Job summary

Computacenter AG & Co. oHG is seeking a Services Architect - AI Data Center to translate complex customer requirements into scalable Professional Services solutions.

You will own end-to-end delivery from discovery through design, estimating, SOW development, and transition to delivery, collaborating with Solution Architects and delivery teams. The ideal candidate has 7+ years in Professional Services architecture, data center deployments, and a proven ability to scope, estimate, and govern large

Qualifications

• 7+ years of experience in Professional Services architecture, services presales, data center consulting, infrastructure deployment, technical program delivery, or a related role.
• Strong background designing and scoping complex technology Professional Services engagements.
• Experience supporting data center, hyperscale, cloud, AI infrastructure, HPC, or other large-scale infrastructure deployment programs.
• Strong understanding of how compute, networking, storage, rack integration, fiber, power, cooling, and physical data center infrastructure come together during deployment.
• Demonstrated experience developing statements of work, labor estimates, resource models, schedules, assumptions, deliverables, acceptance criteria, and responsibility matrices.
• Ability to translate technical architecture into a practical delivery plan with clearly defined tasks, skills, effort, dependencies, and risks.
• Experience estimating large field services or Professional Services engagements using productivity assumptions, unit rates, staffing models, and deployment volumes.
• Understanding of integration center / factory services and the relationship between offsite pre-integration and onsite deployment.
• Experience with subcontractors, strategic partners, or variable labor models supporting geographically distributed delivery is strongly preferred.
• Strong commercial awareness, including scope control, change management, margin, risk, utilization, and delivery economics.
• Strong customer-facing communication, workshop facilitation, technical writing, and presentation skills.
• Ability to operate across sales, architecture, engineering, Professional Services, RDD, operations, project management, sourcing, partners, and field delivery.
• AI CSP, hyperscale, NCP / neocloud, HPC, or large cloud infrastructure programs.
• Rack integration and pre-build services
• High-volume fiber and structured cabling deployments
• Data center compute, network, and storage implementation
• Cluster build, acceptance, validation, and production handoff
• Liquid-cooled and high-density AI infrastructure
• Multi-site deployment programs with aggressive schedules
• PMO and complex program governance
• Partner-led and blended workforce delivery models
• Development of repeatable services methodologies and standardized SOWs
• Services Architecture - Converts complex customer requirements into a complete and executable Professional Services solution.
• Scoping & Estimating - Defines the work, resources, effort, assumptions, dependencies, and cost required to deliver successfully.
• AI Data Center Knowledge - Understands the deployment requirements associated with GPU compute, network, storage, racks, fiber, power, and cooling.
• Design-to-Deliver Thinking - Ensures the proposed solution can actually be mobilized, executed, tested, accepted, and scaled.
• Commercial Acumen - Balances customer outcomes with scope discipline, delivery risk, margin, and commercial viability.
• Customer Engagement - Leads discovery, solution workshops, scope reviews, and technical/commercial services discussions.
• Cross-Functional Leadership - Connects sales and solution architecture with Professional Services, RDD, operations, partners, and delivery.
• Standardization & Scale - Builds repeatable service models that can support very large AI Data Center programs.
• Services pipeline supported and converted
• Quality and accuracy of Professional Services solutions and SOWs
• Accuracy of labor, resource, and delivery estimates
• Services contribution and margin performance
• Reduction in scope gaps, delivery surprises, and unplanned change
• Speed from customer requirement to executable services solution
• Successful transition from presales into delivery
• Customer confidence in the proposed delivery model
• Development and adoption of repeatable AI Data Center service offerings
• Alignment between Services Specialists, technical architects, and delivery teams

Responsibilities

• Lead services discovery sessions to understand customer scope, deployment model, schedule, volumes, site conditions, technical dependencies, and desired outcomes.
• Translate customer requirements into an end-to-end services architecture, delivery methodology, resource model, assumptions, dependencies, and acceptance criteria.
• Design services solutions spanning integration center activities, onsite deployment, rack integration, fiber/structured cabling, compute/network/storage implementation, testing, validation, and operational handoff.
• Develop detailed scopes of work, work breakdown structures, labor models, resource plans, skill requirements, schedules, deliverables, and responsibility matrices.
• Support estimating and pricing by defining labor assumptions, productivity rates, staffing profiles, travel requirements, equipment/tooling, partner content, and delivery risk.
• Develop scalable delivery models for large multi-site and high-volume AI Data Center programs, including repeatable deployment waves and standardized methods of procedure.
• Coordinate with Solution Architects across Fiber, Rack Integration, Compute, Network, and Storage to ensure the technical architecture and services scope are fully aligned.
• Engage Professional Services delivery, RDD, project management, operations, integration centers, supply chain, and partners to validate solution feasibility and capacity.
• Identify delivery risks, customer dependencies, scope gaps, assumptions, and commercial exposure before contract signature.
• Support RFQs/RFPs, proposals, customer workshops, technical presentations, SOW reviews, and services solution defense.
• Own the technical services handoff from presales into delivery and help ensure sold scope, assumptions, financial model, and customer commitments are understood by the execution team.

Job description

Computacenter AG & Co. oHG is seeking a Services Architect - AI Data Center to translate complex customer requirements into scalable Professional Services solutions.

You will own end-to-end delivery from discovery through design, estimating, SOW development, and transition to delivery, collaborating with Solution Architects and delivery teams. The ideal candidate has 7+ years in Professional Services architecture, data center deployments, and a proven ability to scope, estimate, and govern large