Google Cloud Data And AI Solutions Architect
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. In collaboration 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, including defining delivery approaches, team structures, resource estimates, pricing models, and client contracts. It also supports the evolution of TGS service offerings, guides the transition of won opportunities to Delivery, and advises clients on emerging Google Cloud and Agentic AI trends. This is a permanent, fully remote position based out of New York, NY, with travel to client locations as needed.
Requirements
- Exposure to or hands-on experience supporting agentic AI implementations using Google Gemini Enterprise.
- Significant experience designing and architecting enterprise-grade data solutions with Google Cloud technologies, specifically BigQuery, Cloud Storage, Cloud SQL, Cloud Composer, Dataflow, and Vertex AI.
- 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 executives.
- Technical bachelor's degree in Computer Science, Information Technology, Systems Engineering, or equivalent.
- At least 8 years of IT and/or IT professional services delivery or implementation experience.
- At least 2 years of direct sales or pre-sales experience scoping technical solutions for a professional services company.
- Prior experience in key hands-on development or engineering roles on Google Cloud implementation projects.
- Strong written and verbal communication skills and the ability to develop and maintain trusted client relationships.
- 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
- Google Cloud Professional Data Engineer certification and/or Google Cloud Professional Cloud Architect certification.
Responsibilities
- Lead pre-sales activities, including technical discovery, solution design, proposal development, and client presentations.
- Work with Sales and Contract teams to draft accurate Statements of Work that translate 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 on Google Cloud and Agentic AI trends to drive innovation.
- Define delivery approaches, team structures, resource estimates, pricing models, and client contracts for proposed solutions.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Critical illness, accident, and 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
- Paid time off, vacation, or sick leave
- Potential additional earnings through incentive programs such as annual bonuses or profit sharing
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What This Job Offers
Job Type
Full-time
Career Level
Senior
