AI Coach - Agentic Engineering

• Team Coaching & Enablement: Work directly with engineering teams to embed AI-assisted and agentic development practices into daily workflows. Coach teams on balancing engineering quality, security, and maintainability with AI-assisted development.
  
• Delivery & Productivity Optimization: Partner with engineering leadership to identify opportunities to improve delivery effectiveness and productivity through the use of AI tooling, automation, and agent orchestration.
  
• Prototyping & Architecture: Remain hands-on by building prototypes, examples, and reference implementations demonstrating effective agentic development patterns.
  
• Prompting & Validation Best Practices: Help engineers develop effective prompting, validation, and review techniques to ensure robust model outputs.
  
• Metrics & Impact Measurement: Help teams measure and understand the tangible impact of AI-assisted engineering practices on software delivery outcomes.
  
• Innovation & Standards Evolution: Contribute to the evolution of engineering practices, standards, and guidance. Stay current with emerging agentic development techniques and identify appropriate opportunities for adoption across the organization.
  

Requirements

• At least 6 years of professional experience in software engineering.
  
• Experience with agent orchestration frameworks and agentic development platforms.
  
• Experience working with MCP-based tooling and integrations.
  
• Experience creating reusable AI workflows, engineering accelerators, or developer productivity tooling.
  
• Experience helping teams adopt new technologies and engineering practices at scale, including running workshops, communities of practice, or technical enablement programmes.
  
• Experience with Kubernetes, cloud-native platforms, and distributed systems.
  
• Experience with Kafka or event-driven architectures.
  
• Experience working in large-scale digital, retail, or eCommerce environments.