A Software Architect develops and defines the architecture for computer software and applications projects. Oversees the entire software development process; may manage projects for multiple clients. Analyzes customer or user needs, defines system architecture, and leads team of software developers to design programs and build applications.
Agentic Stack
Architecture
Location
Brunswick, United States of America
Language
English 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.
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: 08/05/2026 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. #WAH #LI-Remote #Concentrix
