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Siri InfoSolutions Inc
Chief AI ArchitectSiri InfoSolutions Inc • Bay Area, CA, United States
Chief AI Architect

Chief AI Architect

Siri InfoSolutions Inc • Bay Area, CA, United States
12 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Chief AI Architect

Location: San Francisco, CA

We are seeking a Chief AI Architect to define and drive AI/GenAI architecture, solution strategy, and AI industrialization across a large-scale Google Cloud / Vertex AI portfolio. The role will focus on transforming AI experimentation into scalable, production-grade capabilities and enabling agentic workflows, reusable AI platforms, and measurable business outcomes.

Key Responsibilities

  • Define end-to-end AI architecture and strategy across GenAI, ML, data platforms, and agent frameworks.
  • Establish reference architectures and reusable patterns for Vertex AI, LLMs, RAG, and multi-model orchestration.
  • Lead the design of agentic systems, multi-agent workflows, enterprise GenAI applications, and API/tool integrations.
  • Drive AI platformization through reusable components, shared services, APIs, and AI accelerators.
  • Define architecture for BigQuery, Dataflow, data pipelines, feature stores, and real-time/batch AI processing.
  • Establish AI governance, model evaluation, safety, bias, explainability, security, privacy, and Responsible AI frameworks.
  • Act as an AI thought leader for CXO-level engagements, innovation workshops, executive demos, RFPs, orals, and strategic deals.
  • Translate AI capabilities into business outcomes, ROI, and differentiated value propositions.
  • Define AI capability roadmaps and mentor AI Engineers, Data Scientists, and AI-specialized engineering teams.

Required Qualifications

  • 15 20+ years of experience in AI/ML architecture, data platforms, or advanced engineering roles.
  • Deep expertise in GenAI, LLMs, RAG, agent frameworks, and enterprise AI architecture.
  • Strong expertise in Google Cloud / Vertex AI and cloud AI ecosystems.
  • Proven experience designing and deploying enterprise-grade AI solutions.
  • Strong understanding of AI platform engineering, MLOps, and production AI.

Preferred Qualifications

  • Experience with agentic systems and autonomous workflows.
  • Multi-cloud AI experience.
  • Strong executive communication, client advisory, and AI thought leadership skills.
  • Experience driving AI strategy, capability building, and enterprise AI adoption.

Success Metrics

  • AI adoption across major workflows and solutions.
  • High utilization of reusable AI accelerators and components.
  • Measurable business impact through productivity, cost, and cycle-time improvements.
  • Strong AI-led differentiation in strategic deals and client engagements.
  • Mature AI governance and production-grade AI implementations.
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Chief AI Architect • Bay Area, CA, United States

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