Principal AI Solutions Architect - Agentic AI & Google Cloud
About The Position
Concentrix is seeking a Principal Architect for its AI and Agentic Stack to provide consultative leadership and serve as a trusted advisor for the architectural integrity of enterprise AI solutions. The role translates business vision and complex requirements into technical blueprints covering model selection, API and data orchestration, and agentic logic. It bridges sales and delivery, partnering with customers and Google channel partners to design scalable, governed, high-performing systems using Gemini Enterprise and Vertex AI. The role is remote in the USA and sits within Concentrix Technical Products and Services, which combines digital engineering, creativity, data, and technology to support transformation and improve customer experiences. The position provides strategic technical guidance across solution design and implementation, including architecture for RAG and multi-agent systems, Gemini Enterprise configuration, prompt engineering, MLOps, data governance, and Google Cloud quality reviews.
Requirements
- 12 or more years of experience in technical architecture focused on AI, data, integration, and consultative leadership.
- Expert-level knowledge of Gemini Enterprise (formerly Agent space), Vertex AI, and Big Query ML.
- Customer-facing experience, including the ability to influence CXO stakeholders and lead technical solutioning for AI-driven business transformations.
- Experience in prompt design and engineering, ideally with Gemini, and tuning LLM-based systems for specific behaviors and safety constraints.
- Deep understanding of Python-based AI orchestration, such as Lang Graph and ADK.
- Must be legally authorized to work in the United States and reside in the United States or have a valid U.S. residential address.
Nice To Haves
- Google Professional Machine Learning Engineer certification.
- Experience with high-performance computing (HPU/TPU) and specialized AI hardware on GCP.
Responsibilities
- Partner with sales to lead technical discovery, perform value engineering, and design tailored AI architectures for client business challenges and high-stakes pursuits.
- Design end-to-end architectures for complex AI systems, including RAG and multi-agent systems, and provide technical governance during implementation.
- Serve as a technical subject matter expert for clients and Google's technical field teams, coordinate joint-innovation pursuits, and align solutions with Gemini and Vertex AI roadmaps.
- Lead configuration of the Gemini Enterprise platform and architect agentic systems using advanced prompt engineering, iterative behavioral tuning, and human-in-the-loop oversight.
- Develop and optimize Gemini ecosystem prompt strategies, balancing system autonomy with behavioral goals through iterative tuning and system instructions.
- Define MLOps and data orchestration standards, securely integrate AI models with corporate data estates, and ensure compliance with GCP best practices.
- Conduct in-depth architectural reviews of AI projects to ensure adherence to Google Cloud best practices.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Comprehensive employee assistance program
- 401(k) retirement plan
- Paid time off and holidays
- Paid learning days
- Incentives aligned with individual and company performance
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
