Services Architect (AI Data Center) (Telecommuter, US)

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential technology infrastructure partner in their search for a Services Architect specializing in AI Data Center solutions. This is a fully remote position for candidates located anywhere in the United States.

In this role, you will be the technical services counterpart to sales specialists, responsible for translating complex AI Data Center customer requirements into scalable, executable, and commercially sound Professional Services solutions. You will support the full services pursuit lifecycle—from discovery and scope definition through solution design, estimating, statement of work development, technical closure, and transition to delivery.

Responsibilities

• Partner directly with sales specialists to develop Professional Services opportunities across strategic AI Data Center customers and programs
• Lead services discovery sessions to understand customer scope, deployment model, schedule, volumes, site conditions, technical dependencies, and desired outcomes
• Translate customer requirements into end-to-end services architecture, delivery methodology, resource models, 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 technical architecture and services scope are fully aligned
• Engage Professional Services delivery, 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 ensure sold scope, assumptions, financial model, and customer commitments are understood by the execution team
• Develop reusable services offerings, reference scopes, estimating models, delivery playbooks, and standardized methodologies for AI Data Center deployments

What We're Looking For

Required Experience:

• 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 practical delivery plans 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

Preferred Experience:

• Experience with subcontractors, strategic partners, or variable labor models supporting geographically distributed delivery
• Large-scale GPU infrastructure deployments
• Rack integration and pre-build services
• High-volume fiber and structured cabling deployments
• 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
• Development of repeatable services methodologies and standardized SOWs

Key Competencies:

• 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, operations, project management, sourcing, partners, and field delivery
• Balance customer outcomes with scope discipline, delivery risk, margin, and commercial viability

How We Work With You

When you apply through Get A Job.ai, one of our experienced recruiters will review your background and conduct an initial screening conversation. If there's a strong match, we will submit your profile to our client for consideration. We ask that you work exclusively through Get A Job.ai during this process and not contact the client directly, as we are representing you in this search.

Pay

Compensation details will be discussed during the screening process and are competitive with market rates for this level of expertise and responsibility.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants regardless of race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law.