Google Cloud Data And AI Solutions Architect

TEKsystems • Arlington, VA

3d • $125,000 - $190,000 • Remote

About The Position

The Google Cloud Data and AI Solution Architect is a customer-facing, pre-sales professional who leads solution development for high-impact Google Cloud Platform data and AI engagements. Working with TEKsystems Sales and Practice partners, the architect translates complex business challenges into technical architectures and Statements of Work (SOWs).

The role drives identification, scoping, and proposal of solutions by defining delivery approaches, team structures, resource estimates, pricing models, and client contracts. It also leads technical discovery, solution design, proposals, client presentations, assessments, proofs of concept, and feasibility studies. The architect works with Sales, Contract, Practice, and Delivery teams to develop risk-mitigated contracts, evolve service offerings, and transition won opportunities into delivery. The position provides client advisory support and keeps current with Google Cloud and Agentic AI trends.

This is a permanent, fully remote position based in Arlington, Virginia, with travel to client locations as needed. The listed pay range is $125,000–$190,000 per year. Individual compensation depends on factors including qualifications, skills, experience, job knowledge, and geographic location; additional earnings may be available through incentive programs.

Full-time internal employment benefits include medical, dental, vision, critical illness, accident and hospital coverage; a 401(k) retirement plan with pre-tax and Roth post-tax contributions; voluntary life and AD&D insurance; short- and long-term disability; a Health Spending Account (HSA); transportation benefits; an Employee Assistance Program; and time off or leave, including PTO, vacation, or sick leave.

Requirements

• Technical bachelor's degree in Computer Science, Information Technology, Systems Engineering, or equivalent.
• Eight or more years of IT and/or IT professional services delivery or implementation experience.
• Two or more years of direct sales or pre-sales experience scoping technical solutions for a professional services company.
• Significant experience designing and architecting enterprise-grade data solutions using Google Cloud data and AI technologies, specifically BigQuery, Cloud Storage, Cloud SQL, Cloud Composer, Dataflow, and Vertex AI.
• Prior experience in key hands-on development or engineering roles on Google Cloud implementation projects.
• Hands-on experience designing data architectures and data models, including Medallion (Lakehouse) and Data Mesh architectures.
• Excellent communication and presentation skills, including the ability to explain complex technical concepts to non-technical stakeholders and executive audiences.
• Strong written and verbal communication skills and the ability to develop and maintain trusted client relationships.
• Strong drive to remain current with trends, technologies, and best practices in data modernization, infrastructure, and AI.
• Ability to travel to client locations as needed.

Nice To Haves

• Exposure to or hands-on experience supporting Agentic AI implementations using Google Gemini Enterprise.
• Google Cloud Professional Data Engineer certification and/or Google Cloud Professional Cloud Architect certification.

Responsibilities

• Lead and own pre-sales activities, including technical discovery, solution design, proposal development, and client presentations.
• Partner with Sales and Contract teams to draft accurate Statements of Work that translate proposed technical architecture into risk-mitigated delivery contracts.
• Conduct technical assessments, proofs of concept, and feasibility studies to validate proposed AI and data solutions.
• Identify and mitigate technical and operational risks, and advocate for non-functional requirements such as security, scalability, performance, reliability, and supportability.
• Support the evolution of TGS service offerings by packaging repeatable solution patterns, creating pre-sales collateral such as case studies and client decks, and providing feedback to the Practice team.
• Lead the transition of won opportunities from Sales to Delivery, ensuring client expectations, culture, risks, and timelines are documented and managed.
• Provide advisory support to clients and stay current with emerging Google Cloud and Agentic AI trends to drive innovation.
• Define solution delivery approaches, team structures, resource estimates, pricing models, and client contracts.
• Travel to client locations as needed.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Critical illness coverage
• Accident coverage
• Hospital coverage
• 401(k) retirement plan with pre-tax and Roth post-tax contributions
• Voluntary life and AD&D insurance for employees and dependents
• Short- and long-term disability coverage
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• PTO, vacation, or sick leave
• Potential additional earnings through incentive programs such as annual bonuses or profit sharing

What This Job Offers

• Job Type: Full-time
• Career Level: Senior