Principal Architect: AI & GCP Agentic Stack

Fully remote work flexibility within the United States.Full-TimePrincipal

Salary155,000 - 220,000 USD per year

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Job Details

12+ years of experience in technical architecture across AI, data, integration, and enterprise solution design.
Expert-level knowledge of Gemini Enterprise, Vertex AI, and BigQuery ML.
Strong experience in client-facing and consultative roles influencing executive (CXO-level) stakeholders.
Proven expertise in LLM systems, prompt engineering, and behavioral tuning of generative AI models.
Deep understanding of AI orchestration frameworks (e.g., Python-based systems, LangGraph, ADK).
Strong background in MLOps, cloud-native architecture, and data governance on Google Cloud.
Excellent communication, leadership, and stakeholder management skills.
(Preferred) Google Professional Machine Learning Engineer certification and experience with TPU/HPU-based AI workloads.

Lead end-to-end AI solution architecture, translating business requirements into scalable technical blueprints across RAG, multi-agent systems, and enterprise AI workflows.
Partner with sales and client teams to support consultative discovery, value engineering, and technical design during complex pre-sales engagements.
Architect and govern Gemini Enterprise and Vertex AI solutions, ensuring alignment with enterprise standards, scalability, and performance expectations.
Serve as technical liaison between clients, internal teams, and Google Cloud stakeholders to drive alignment on roadmap and solution design.
Define and enforce MLOps, data orchestration, and AI governance practices aligned with GCP best practices.
Conduct deep technical reviews and ensure delivery teams adhere to architectural intent and quality standards.
Design and optimize prompt engineering strategies and agentic behaviors with human-in-the-loop oversight.

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