Lead AI DevOps Engineer
Summary
Lead AI-Enabled DevOps Engineer shaping AI integration with production software, modernizing legacy apps to API-driven architectures, and providing technical direction across AI, APIs, and DevOps using TypeScript and Python.
Overview
As Lead AI‑Enabled DevOps Engineer, you will shape how AI integrates with production-grade software platforms. You will provide technical direction across AI-enabled software, APIs, and DevOps to drive secure, operable systems. You’ll modernise legacy apps toward API-driven architectures and define integration patterns between applications and AI services. This delivery-focused leadership role emphasizes architecture, reliability, and pragmatic decision-making in production. You’ll work closely with cross-functional teams to deliver impactful, scalable AI-enabled solutions.
Responsibilities
- Provide technical leadership across AI-enabled software and DevOps teams
- Set architectural direction for API-first design and platform enablement for AI
- Lead modernisation of legacy apps toward service-based, API-driven architectures
- Define integration patterns between applications, platforms, and AI services
- Make pragmatic decisions on AI integration approaches and protocols
- Collaborate with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions
- Ensure solutions meet security, resilience, performance, and operability standards
- Anticipate and manage architectural and operational risks in AI-enabled systems
- Champion strong engineering practices across software development, DevOps, and platform engineering
- Lead by example in production-critical environments
- Deliver in a delivery-focused, not experimentation-driven, manner
Key requirements
- Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on leadership role
- Strong software engineering fundamentals: design, clean code, testing, maintainability
- Deep experience designing and delivering API-driven and microservice-based systems
- Proven ability to modernise or integrate legacy systems into modern platforms
- Solid development experience in TypeScript and Python
- Experience spanning software delivery, CI/CD, infrastructure, and operations
- Ability to influence teams without formal authority
- Balance innovation with pragmatism in production environments
- simplified communication
- influencing without authority
- delivery-focused mindset
- TypeScript
- Python
- API-driven architecture