Hitachi
AI Architect
Remote - Texas, United States · Hybrid · Full-time · Posted Oct 8, 2026
- Experience
- 15+ years in enterprise architecture, software engineering, or cloud platforms; 7+ years designing and delivering AI/ML, Generative AI, or Agentic AI solutions.
About the job
Leads enterprise AI strategy and architecture, designing and governing secure AI platforms, agent ecosystems, knowledge systems, and governance frameworks.
What you'll do
- Define enterprise AI strategy, architecture standards, reference architectures, and roadmaps; architect and govern AI platforms.
- Design Agentic AI and RAG solutions, enterprise knowledge architectures, and interoperability patterns.
- Establish AI governance and observability, and provide technical leadership for AI initiatives and operations.
What they ask for
- Deep expertise with Microsoft AI Foundry, Amazon Bedrock, Google Vertex AI, LLMs, RAG, Knowledge Graphs, and AI governance.
- Strong knowledge of Azure, AWS, GCP, enterprise integration, security, and scalable distributed systems.
- Proven leadership influencing executive stakeholders and leading cross-functional teams.
Nice to have
- Master's degree in Computer Science, AI, Data Science, or related field.
- Cloud and AI certifications from Microsoft, AWS, or Google Cloud; experience leading enterprise AI transformation programs in large global organizations.
Tools
Microsoft AI Foundry, Amazon Bedrock, Google Vertex AI, MCP, A2A, OpenAPI, OpenTelemetry, Azure
AI focus
Enterprise AI, Generative AI, and Agentic AI strategy, architecture, governance, platforms, agents, knowledge architectures, and RAG solutions.
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