Principal Architect: AI & GCP Agentic Stack

Accountabilities

• 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.

Requirements

• 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.

Benefits

• Competitive base salary ranging from $155,000 to $220,000 depending on experience and location.

• Performance-based incentives aligned with individual and company outcomes.

• Comprehensive medical, dental, and vision insurance coverage.

• 401(k) retirement savings plan.

• Paid time off, holidays, and dedicated paid learning days.

• Employee assistance program and wellness support.

• Fully remote work flexibility within the United States.

• Inclusive, learning-driven environment focused on career growth and continuous innovation.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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