Enterprise AI Architect
First seen by Alion on Sep 11, 2026.
Role Overview:
Accountable for the end-to-end architecture, engineering blueprint, deployment model, operational readiness, security, governance and integration strategy of client's enterprise AI systems - ensuring that AI solutions operate as secure, scalable, compliant and business-aligned systems across models, applications, infrastructure, data, networks and external dependencies.
Note: The role is for someone who is T-shaped, rather than an expert only in AI.
Key responsibilities:
- End-to-end AI system architecture
- Infrastructure and deployment
- AI engineering ecosystem development
- Business rules and AI controls
- Integration and external ecosystem
- Security, risk and compliance
- Reliability and operations
- Technology and vendor strategy
- Architecture governance
Skills:
- Strong expertise in Enterprise Architecture.
- Expertise in AI Governance.
- Strong experience in AI/ML Architecture.
- Expertise in Generative AI, LLMs, and AI Agents.
- Experience in Cloud and Hybrid Architecture.
- Strong knowledge of Kubernetes and Containers.
- Expertise in APIs and Integration.
- Experience in Data Architecture.
- Strong understanding of Networking.
- Expertise in Cybersecurity.
- Experience with DevSecOps and CI/CD.
- Knowledge of Observability and SRE.
Skills
Artificial Intelligence, Machine Learning, Large Language Model, Generative AI, Technical Architect, AI Product Development