Senior AI Architect: Enterprise GenAI & Agents

Sedgwick

Florida

On-site

USD 180,000 - 260,000

Full time

2 days ago
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Job summary

Sedgwick seeks a Principal Architect - AI to lead the enterprise AI architecture, governance, and platform direction. You will drive large-scale transformation through Generative AI, agentic AI, and advanced intelligence capabilities, shaping the enterprise intelligence layer and ensuring secure, ethical delivery across AWS and Azure.

Engage in setting multi-year roadmaps, governing AI platforms, and enabling cross-functional teams to integrate AI with legacy and cloud environments, delivering

Qualifications

  • Master's degree in AI, ML, CS, Engineering or related field.
  • 10+ years in enterprise architecture or large-scale GenAI/Agentic AI.
  • Executive-level expertise with AWS AgentCore and Azure AI Agent Service.
  • Experience establishing enterprise AI governance and cross-LOB adoption.

Responsibilities

  • Define enterprise Generative AI and Agentic AI architecture vision and multi-year roadmap.
  • Chair or co-lead AI governance forums and establish guardrails.
  • Define enterprise agentic AI strategy and platform blueprint for scale.
  • Establish patterns for multi-agent orchestration, tool-use, and lifecycle management.
  • Ensure AI solutions meet security, risk, and regulatory requirements.

Skills

Enterprise leadership
Architectural authority
Technical depth
Cloud & platform expertise
Transformation leadership
Business value orientation
Team collaboration
Performance competencies

Education

Master's degree in AI/ML/CS/Engineering

Tools

Python
SQL
PySpark
Vector stores (Pinecone/OpenSearch/Azure AI Search)
LLM platforms
AgentCore/Azure AI Agent Service
Palantir Foundry/AIP

Job description

Sedgwick seeks a Principal Architect - AI to lead the enterprise AI architecture, governance, and platform direction. You will drive large-scale transformation through Generative AI, agentic AI, and advanced intelligence capabilities, shaping the enterprise intelligence layer and ensuring secure, ethical delivery across AWS and Azure.

Engage in setting multi-year roadmaps, governing AI platforms, and enabling cross-functional teams to integrate AI with legacy and cloud environments, delivering

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