AI Architect

Job Type: Contract
Work Flexibility: Hybrid
Location: San Carlos CA
Required Skills: AWS Azure LLM PyTorch Scikit Learn TensorFlow

Role: AI Architect
Location: San Mateo, CA (Hybrid)
Duration: Contract (3–6 Months)
Pay Rate: $80 to $90

Overview: We are seeking an experienced AI Architect to guide and support our client through their AI transformation journey. This role will focus on defining AI strategy, educating stakeholders, and building a roadmap for scalable and responsible AI adoption—preferably within a Public Sector environment.

Key Responsibilities:
Strategic/Functional

  • Define and drive the organization’s AI strategy and roadmap aligned with business goals
  • Educate leadership and cross-functional teams on AI capabilities, use cases, and best practices
  • Identify high-impact AI/ML use cases across departments
  • Provide guidance on responsible AI, governance, and compliance, especially in Public Sector settings
  • Collaborate with stakeholders to translate business needs into AI-driven solutions

Technical

  • Design high-level AI/ML architectures and solution frameworks
  • Evaluate and recommend tools, platforms, and frameworks (e.g., cloud AI services)
  • Guide teams on data readiness, model lifecycle, and deployment strategies
  • Ensure scalability, security, and performance of AI solutions
  • Stay updated with the latest trends in Generative AI, LLMs, and AI platforms

Required Skills & Experience:

  • 8+ years of experience in AI/ML, Data Science, or Solution Architecture
  • Proven experience as an AI Architect / AI Consultant / ML Architect
  • Strong understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
  • Experience with cloud platforms (AWS, Azure, or GCP AI services)
  • Ability to communicate complex AI concepts to non-technical stakeholders
  • Experience in defining AI strategy and roadmaps

Preferred Qualifications:

  • Experience working with Public Sector / Government clients
  • Exposure to Generative AI / LLMs (e.g., GPT, RAG architectures)
  • Knowledge of AI governance, ethics, and compliance frameworks
  • Prior experience in advisory or consulting roles

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