Google Cloud Data And AI Solutions Architect

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion.

We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

Here's what the opportunity supported through our TGS Talent Acquisition Team requires:

The Google Cloud Data and AI Solution Architect (SA) is a customer-facing, pre-sales professional responsible. In this role, you will lead solution development for high-impact Google Cloud Platform (GCP) Data and AI engagements. Working in close collaboration with TEKsystems Sales and Practice partners, you will translate complex business challenges into robust technical architecture and Statements of Work (SOWs).

A successful Solution Architect possesses a deep understanding of the business domains coupled with broad technical expertise. You will be the primary driver for identifying, scoping, and proposing solutions by defining the delivery approach, team structure, resource estimation, pricing models, and client contracts.

Responsibilities

- Pre-Sales Leadership Responsibilities:
Lead and own pre-sales activities, including technical discovery, solution design, proposal development, and client presentations.

- SOW & Contract Development:
Partner closely with Sales and Contract teams to draft highly accurate Statements of Work (SOWs) that translate proposed technical architecture into solid, risk-mitigated delivery contracts.

- Technical Architecture & Validation:
Conduct technical assessments, Proofs-of-Concept (POCs), and feasibility studies to validate proposed AI and data solutions.

- Risk & NFR Management:
Identify and mitigate technical/operational risks. Prioritize and advocate for critical non-functional requirements (NFRs) including security, scalability, performance, reliability, and supportability.

- Practice & GTM

Collaboration:

Support the continued evolution of TGS service offerings. Package repeatable solution patterns, create pre-sales collateral (such as case studies and client decks), and provide feedback to the practice team.

- Delivery Alignment:
Lead the seamless transition of won opportunities from Sales to Delivery, ensuring client expectations, culture, risks, and timelines are documented and managed.

- Thought Leadership:
Provide advisory support to clients, staying at the forefront of emerging Google Cloud and Agentic AI trends to drive ongoing innovation.

Requirements

- Agentic AI:
Exposure to or hands-on experience supporting agentic AI implementations using Google Gemini Enterprise.

- Google Cloud Data Ecosystem:
Significant experience designing and architecting enterprise-grade data solutions using Google Data and AI technologies, specifically Google Cloud Big Query, Cloud Storage, Cloud SQL, Cloud Composer, Dataflow, and Vertex AI.

- Modern Data Paradigms:
Hands-on experience designing data architectures and data models, including Medallion (Lakehouse) architecture and Data Mesh architectures.

- Certifications (Strongly Preferred):
Google Cloud Professional Data Engineer and/or Google Cloud Professional Cloud Architect.

- Communication & Presentation:
Excellent communication and presentation skills, with a proven ability to articulate complex technical concepts clearly to non-technical stakeholders and executive audiences.

Required Experience:

- Education:

Technical Bachelor's degree (Computer Science, Information Technology, Systems Engineering, or equivalent).

- IT Delivery: 8 or more years of delivery/implementation experience in information technology and/or IT professional services.

- Pre-Sales/Sales: 2 or more years of direct sales/presales experience scoping technical solutions for a professional services company.

- Hands-on Google Cloud Background :
Prior experience playing key, hands-on development or engineering roles on Google Cloud implementation projects.

- Relationship Management:
Strong written and verbal communication skills, with a proven ability to effectively develop and maintain trusted client relationships.

- Technical Drive:
Strong drive to remain current with emerging trends, technologies, and best practices in data modernization, infrastructure, and AI domains.

- Mobility:
Ability to travel to client locations as needed.

Job Type & Location

This is a Permanent position based out of Minneapolis, MN.

Pay and Benefits

The pay range for this position is $125000.00 - $190000.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any…