Principal Architect: AI & GCP Agentic Stack in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Architect: AI & GCP Agentic Stack in United States.

This is a high-impact, consultative architecture role at the forefront of enterprise AI transformation. You will translate complex business challenges into scalable, production-ready AI solutions built on advanced Google Cloud technologies. The position sits at the intersection of strategy, engineering, and client engagement, requiring strong influence across technical and executive stakeholders. You will design and govern next-generation AI systems leveraging Gemini Enterprise, Vertex AI, and agentic frameworks. Acting as a trusted advisor, you will bridge sales and delivery teams while shaping solution architecture for mission-critical programs. The environment is fast-paced, innovation-driven, and deeply focused on delivering measurable business value through AI.

• 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.

• 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.

• 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.