Codvo Internal L3 — Agentic AI Solution Architect

Purpose

Certifies that a senior practitioner can design a production-ready agent operating model for enterprise clients and defend architecture decisions across engineering, security, data, compliance, and business stakeholders.

Competencies — practitioners must be able to

• Design enterprise reference architectures for agent platforms
• Make build-vs-buy decisions across runtime, model, data, observability, and governance platforms
• Define agent identity, delegated authority, token handling, and revocation patterns
• Design governed data access using semantic layers, lineage, permissioning, and quality controls
• Threat-model agent workflows, including prompt injection and data exfiltration
• Define agent SLOs, cost controls, quality metrics, and evaluation strategy
• Design kill switches across runtime, identity, gateway, data, and payment/action layers
• Create a rollout plan from pilot to production
• Define ownership across platform, data, security, product, and business teams
• Communicate tradeoffs to CIO, CISO, CTO, and engineering audiences

Learning modules

1. 1Enterprise agent reference architecture
2. 2Runtime and orchestration strategy
3. 3Identity, authorization, and delegated access
4. 4Data governance and semantic layer integration
5. 5Tool, MCP, and external integration security
6. 6Observability and evaluation at scale
7. 7Agent risk management and incident response
8. 8Cost, latency, reliability, and SLO design
9. 9Industry-specific operating models
10. 10Executive communication and architecture defense

Required deliverables

• Client-Ready Solution Blueprint
• Production Reference Architecture
• Control-Layer Architecture
• Identity and Authorization Model
• Data Governance and Semantic Access Plan
• Tool and Integration Control Model
• Observability and Evaluation Strategy
• Security Threat Model
• Incident Response and Kill-Switch Plan
• 90-Day Implementation Roadmap
• Executive Briefing Memo or Deck

Practical capstone

Production Agent Platform for a Regulated Enterprise — financial services or insurance client wants to deploy multiple agents across customer service, operations, data analysis, and internal IT. Architecture must support governed data access, identity delegation, human approvals, observability, evaluation, and incident response.

Assessment method

Internal architecture review board. Weighted: production architecture quality (20%), control-layer completeness (20%), security/governance depth (20%), industry relevance (15%), roadmap (15%), executive communication (10%).

Pass criteria

Score ≥85% overall AND MUST pass the security/governance portion. Review board will challenge assumptions, probe failure modes, and require defense of tradeoffs.