Google Cloud Data And AI Solution Architect (SA)

TEKsystems • Atlanta, GA

1d • $125,000 - $190,000 • Remote

About The Position

The Google Cloud Data and AI Solution Architect (SA) is a presales professional responsible for solution development in support of Google Cloud Data and AI engagements leveraging Google Cloud in collaboration with TEKsystems sales and practice partners. A successful Solution Architect possesses a deep understanding of the business domain coupled with a broad technical expertise. Their strength lies in diverse experience across various technological roles, enabling them to: Approach business problems from multiple perspectives. Effectively communicate technical concepts to non-technical stakeholders. Leverage a toolbox of proven design strategies, patterns, and holistic solution viewpoints. Ask insightful technical questions and consider relevant factors. The SA will be the primary driver for identifying, scoping, and creating solutions and proposals that encompass technical approach, estimates, implementation, team structure, pricing and contracts. The SA will bring thought leadership, current industry know-how, and applied solutions to improve existing service capabilities, engagement and delivery challenges and any research and development activities.

Requirements

• Exposure or experience supporting agentic AI implementations with Google Gemini Enterprise (formally Agentspace)
• Significant experience designing and architecting scalable, secure, and cost-effective data solutions using Google Data and AI technologies (like Google Cloud BigQuery and Cloud Storage, Google Cloud Cloud SQL, Cloud Composer, Dataflow, and Vertex AI).
• Exposure to frameworks such as Apache Beam and/or Apache Spark, and programming languages such as Python, Java, Bash, etc.
• Experience designing data architectures and data models, including medallion architectures and data mesh architectures.
• Solid understanding of RAG, Context Prompting, Indexation, GenAI Evaluation methods
• Exposure or experience supporting environments with AI/ML services (e.g., Vertex AI, TensorFlow) using MLops practices.
• Strongly preferred certifications such as Google Cloud Professional Data Engineer and/or Google Cloud Professional Architect.
• Familiarity with agile methodologies, DevOps practices, and cloud-native application development.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to articulate complex. technical concepts to both technical and non-technical audiences.
• Proven experience in pre-sales activities, solution design, and client-facing engagements.
• A technical Bachelor's degree (Computer Science, Information Technology/Systems).
• 8 or more years of delivery experience in information technology and/or IT professional services.
• 2 or more years of sales/presales experience for a global professional services company
• Prior experience in playing key, hands-on development roles on GCP implementation projects.
• Prior experience developing project estimations, project planning, and scheduling.
• Strong communication skills, both written and verbal, with the ability to effectively develop and maintain client relationships.
• Strong drive to remain current with emerging trends, technologies, and best practices in data modernization, infrastructure, and AI domains.
• Ability to travel to client locations as needed.

Responsibilities

• Lead and own pre-sales activities, including solution design, proposal development, and client presentations.
• Understand business requirements and other inputs such as customer terms and conditions for the technology solution and identify and mitigate risks that could hinder the technology's ability to meet those needs.
• Prioritize and advocate for addressing non-functional requirements such as usability, reliability, performance, supportability, and security.
• Implement application modernization initiatives and continue to maintain deep technical skills.
• Conduct technical assessments, proofs-of-concept, and feasibility studies to validate proposed solutions.
• Package capabilities and solution content for use in sales and marketing activities
• Prepare value proposition and competitive positioning statements.
• Providing feedback to practice to enable the development, enhancement, and packaging of new capabilities.
• Stay up to date with the latest trends, technologies, and best practices in data modernization and AI.
• Work with Sales and Contract teams on Statements of Work to ensure the proposed solution is translated to contracts.
• Collaborate with practices on continued evolution of service offerings, presales & go-to market collateral such as case studies, account profiling, client presentation design, etc.
• Turnover from Sales to Delivery ensuring that expectations, schedules, and ramp up time frames are managed.
• Ensure client expectations are clearly communicated to delivery (client environment, culture, key players, escalation points, roles and responsibilities, vision, issues, risks, objectives, etc.)
• Providing advisory and thought leadership support to clients.

Benefits

• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

What This Job Offers

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