Principle Architect (AI and Agent Stack)

Job Title: Principal Architect

Work Location: Remote

Contract Duration: Long Term

Job Description:

Role 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 Google Cloud Platform 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 Agentspace), Vertex AI, and BigQuery 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 (LangGraph, ADK, etc.)

Desired Qualifications:

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