Enterprise Architect - Chief Architect for Agentic Delivery
Skills
AdoptionBusiness LeadershipContextContinuous ImprovementEnglishIdentity And Access ManagementPlatform Architecture
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Significant enterprise solution or platform architecture experience with governance design reviews and technology roadmaps
- Demonstrated experience designing and implementing enterprise AI generative AI or agentic AI platforms
- Strong knowledge of large language models agent orchestration retrieval augmented generation tool calling context management and human in the loop architectures
- Hands-on experience with agentic development tools such as OpenAI Codex Anthropic Claude Code GitHub Copilot and MCP servers gateways or comparable integrations
- Strong knowledge of identity and access management API security secrets data protection observability cloud architecture CI/CD and secure software delivery
- Understanding of AI risk model governance privacy regulatory compliance and controls in regulated environments
- Ability to communicate clearly to executive technical risk and business stakeholders
Nice to have
- Enterprise-oriented
- Technically credible
- Pragmatic
- Outcome-focused
- Influential communicator
Day to day
- Define and lead the enterprise architecture for agentic AI adoption across Product, Software Engineering, and Platform Engineering.
- Establish and govern the Agentic Delivery Lifecycle with secure policies, standards, reusable patterns, and approval gates for safe enterprise-scale deployment.
- Architect agentic platforms, MCP integrations, observability, and cost controls while guiding teams through enablement, governance, and continuous improvement.