Lead Enterprise AI & Agent Architect

Hitachi

Reading (Berks County)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Hitachi is seeking a Senior Enterprise AI & Agent Architect to lead strategy, architecture, governance, and adoption of enterprise AI, Generative AI, and agentic AI solutions. You will define scalable AI platforms and governance frameworks to enable secure, business-aligned AI transformation.

You will partner with product, security, data, and engineering leaders to deliver strategic AI initiatives and provide technical leadership in LLMOps, MLOps, CI/CD, and cloud-native operations across global

Qualifications

  • 15+ years of experience in enterprise architecture, software engineering, or cloud platforms.
  • 7+ years designing and delivering AI/ML, Generative AI, or Agentic AI solutions.
  • Deep expertise with major cloud AI platforms and governance frameworks.
  • Strong knowledge of cloud platforms, security, and scalable distributed systems.
  • Proven leadership influencing executives and cross-functional teams.

Responsibilities

  • Define enterprise AI strategy, architecture standards, reference architectures, and roadmaps.
  • Architect and govern AI platforms and agentic AI solutions across the stack.
  • Drive interoperability standards and enterprise integration patterns.

Skills

Enterprise architecture
AI/ML design
Cloud platforms
Leadership
LLMs & AI governance

Education

Master’s degree in CS/AI/Data Science
Cloud certifications (Microsoft/AWS/Google)

Tools

Microsoft AI Foundry
Amazon Bedrock
Google Vertex AI

Job description

Hitachi is seeking a Senior Enterprise AI & Agent Architect to lead strategy, architecture, governance, and adoption of enterprise AI, Generative AI, and agentic AI solutions. You will define scalable AI platforms and governance frameworks to enable secure, business-aligned AI transformation.

You will partner with product, security, data, and engineering leaders to deliver strategic AI initiatives and provide technical leadership in LLMOps, MLOps, CI/CD, and cloud-native operations across global

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