GenAI Enterprise Architect

Computer Task Group, Inc
Remote

About The Position

We are seeking a GenAI Enterprise Architect to lead the design and governance of enterprise-scale AI, Generative AI, and agentic platforms. This is a strategic architecture role responsible for defining target-state AI architecture, establishing standards, and ensuring AI adoption aligns with business strategy, risk, and regulatory requirements. You will enable AI as a core enterprise capability—not a set of isolated tools.

Requirements

  • 7+ years in enterprise/solution architecture or AI/ML engineering
  • 3+ years hands-on with Azure OpenAI, Azure AI Studio, or Microsoft AI Foundry
  • Experience designing cloud-based AI architectures (Azure, AWS, or GCP)
  • Proven track record integrating LLM/GenAI into enterprise systems at scale
  • Knowledge of M365 Copilot extensibility (Graph API, plugins, connectors)
  • Strong understanding of Responsible AI, data governance, and cybersecurity
  • Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

  • Experience in regulated industries (financial services, healthcare, etc.)
  • Hands-on experience with RAG pipelines, vector databases, and embeddings
  • Multi-model architecture experience (OpenAI, Anthropic, etc.)
  • Familiarity with AI governance frameworks (e.g., SR 11-7)
  • Certifications such as TOGAF or Azure Solutions Architect

Responsibilities

  • Define enterprise AI architecture strategy, standards, and target-state models
  • Architect AI platforms across Azure OpenAI, Microsoft AI Foundry, M365 Copilot, and third-party LLM providers
  • Establish patterns for agentic systems, multi-agent orchestration, and human-in-the-loop controls
  • Design and govern RAG (Retrieval-Augmented Generation) and AI-ready data ecosystems
  • Lead Copilot extensibility architecture (plugins, Graph connectors, integrations)
  • Embed Responsible AI, security, privacy, and regulatory controls into all solutions
  • Drive architecture governance, review boards, and enterprise standards
  • Partner with engineering to ensure scalable, production-ready implementations

Benefits

  • competitive benefit package
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