Adoption & Governance with demonstrable hands-on practice in current AI engineering tooling with proven experience setting standards and guardrails across the Software Development Lifecycle (SDLC). Fluent in agentic ways of working including model selection, prompt/harness engineering, agent-tool integration (such as MCP), reusable skill and instruction packaging. … building and running agent workflows, model selection, prompt/harness engineering, agent-tool integration, reusable skills and instructions. Knowledge of applying AI across the SDLC including test generation, code review augmentation, documentation, legacy comprehension, and modernisation. AI coding and agent tooling exposure e.g., Claude Code, GitHub CoPilot, Codex, Kiro ...