Principal Architect, Enterprise AI & GCP Solutions

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Location: Remote in USA

Job Summary:

As the Principal Architect for the AI & Agentic Stack, you are a high-impact consultative leader and trusted advisor responsible for the architectural integrity of our enterprise AI solutions. Your mission is to translate vision and complex business requirements into detailed technical blueprints for model selection, API & data orchestration, and agentic logic. You act as a key bridge between sales and delivery, working closely with customers and Google channel partners to design scalable, governed, and high-performing systems leveraging Gemini Enterprise and Vertex AI.

Responsibilities

• Consultative Solutioning & Sales Support: Partner with sales to lead technical discovery, perform value-engineering, and design tailored AI architectures that solve specific client business challenges in high-stakes pursuits.
• Technical Blueprinting & Delivery Oversight: Design end-to-end architectures for complex AI systems (RAG, multi-agent systems) and provide technical governance during implementation to ensure delivery aligns with original architectural intent.
• Customer & Channel Technical Liaison: Act as a subject matter expert for clients and Google's technical field teams, coordinating joint-innovation pursuits and ensuring alignment with the latest Gemini and Vertex AI roadmaps.
• Gemini Enterprise & Agentic Design: Lead the configuration of the Gemini Enterprise platform and architect agentic systems with advanced prompt engineering, iterative behavioral tuning, and robust human-in-the-loop oversight.
• Prompt Engineering & System Tuning: Develop and optimize advanced prompt strategies for the Gemini ecosystem, balancing autonomy and specific behavioral goals through iterative tuning and system instructions.
• MLOps & Data Governance: Define standards for MLOps and data orchestration, ensuring AI models are securely integrated with corporate data estates and comply with GCP best practices.
• Technical Quality Control: Perform deep-dive architectural reviews of AI projects to ensure adherence to Google Cloud best practices.

Required Qualifications:

• 12+ years in technical architecture with a focus on AI, Data, Integration, and consultative leadership
• Expert-level knowledge of Gemini Enterprise (formerly Agent space), Vertex AI, and Big Query ML
• Proven experience in customer-facing roles, with the ability to influence CXO stakeholders and lead technical solutioning for AI-driven business transformations
• Proven experience in Prompt Design & Engineering (ideally with Gemini) and tuning LLM-based systems for specific behaviors and safety constraints
• Deep understanding of Python-based AI orchestration (Lang Graph, ADK, etc.)

Desired Qualifications:

• Google Professional Machine Learning Engineer certification.
• Experience with high-performance computing (HPU/TPU) and specialized AI hardware on GCP

The base salary for this position is $155,000 - $220,000, plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.

The deadline to apply for this position is: 10/21/2026 This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.

As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies.

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Location:

USA, TX, Work-at-Home

Language Requirements:

Time Type:

Full time

Physical and Mental Requirements:

The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.

Equal Employment Opportunity:

Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.

For more information regarding your EEO rights as an applicant, please visit the following websites:

· English

· Spanish

Accommodation:

Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process.

Artificial Intelligence:

As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.

Work Authorization:

In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.

For further information on available work states and Equal Employment Opportunity as an applicant, please click HERE