Lead AI Enabled Software/DevOps Engineer
A hands-on technical lead role guiding AI-enabled software and DevOps teams: setting architecture for API-first, microservice-based platforms, modernising legacy applications, and integrating AI services. Core technologies include TypeScript, Python, CI/CD, and emerging integration protocols like MCP.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Contract
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role
- Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability
- Strong experience designing and delivering API-driven and microservice-based systems
- Proven ability to modernise or integrate legacy applications into modern software and platform architectures
- Solid development experience in TypeScript and Python
- Experience working across software delivery, infrastructure, CI/CD, and operational environments
- Confidence providing technical leadership and architectural direction without relying on formal authority
- Ability to balance innovation with pragmatism in complex, production environments
Full description
What You'll Be Doing
- Provide technical leadership across AI-enabled software and DevOps engineering teams
- Set architectural direction for API-first design, system integration, and platform enablement for AI
- Lead the evolution of legacy or existing applications towards modern, service-based and API-driven architectures
- Define and guide integration patterns between applications, platforms, and AI services
- Make informed decisions on when and how emerging integration approaches (e.g. protocols such as MCP) should be applied as part of broader system design
- Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions
- Ensure solutions meet appropriate standards for security, resilience, performance, and operability
- Anticipate and manage architectural and operational risks associated with AI-enabled systems
- Champion strong engineering practices across software development, DevOps, and platform engineering
Your Experience
To succeed in this role, you will bring:
- A strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer, or similar hands-on technical leadership role
- Excellent software engineering fundamentals, including system design, clean code, testing, and maintainability
- Strong experience designing and delivering API-driven and microservice-based systems
- Proven ability to modernise or integrate legacy applications into modern software and platform architectures
- Solid development experience in TypeScript and Python
- Experience working across software delivery, infrastructure, CI/CD, and operational environments
- Confidence providing technical leadership and architectural direction without relying on formal authority
- Ability to balance innovation with pragmatism in complex, production environments
In Return
You'll play a critical role in shaping how AI is integrated into enterprise software platforms, working at the intersection of architecture, delivery, and operational reality.
This is an opportunity to lead technically, influence system evolution, and build AI-enabled platforms that are robust, scalable, and fit for real-world use.
As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us.