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Amach

AI Enablement Engineer

Posted 18 Days Ago
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In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
Lead definition and implementation of AI-first governance, guardrails, and controls for safe, auditable AI-assisted development across the SDLC. Partner with engineering to set standards for Copilot, AWS Q/Transform, Kiro, CodeScene ACE, repository controls, review evidence, and migration roadmaps while driving adoption and tracking AI risks and technical debt.
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About us:

Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe.

Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions.

Founded in 2013, Amach was created to solve a specific problem in aviation: too much complexity, too little usable intelligence. We help airlines modernise their operating model using cloud, data and Al-delivered by teams with deep aviation domain expertise.
Our goal is to maximize airlines' operational efficiency by optimizing resource use, reduce costs and increase customer experience and satisfaction.

We are seeking an AI Enablement Engineer to join our team and lead the definition and implementation of AI-first governance, guardrails, and controls that enable safe, scalable, and auditable adoption of AI-assisted development tools across our software development lifecycle. This is a hands-on, senior-level engineering governance position where you will partner closely with our Software Engineering teams to establish standards and controls that allow AI to scale responsibly across coding, testing, documentation, DevOps, and repository workflows. You will shape how approved AI tools like GitHub Copilot, AWS Q Developer, AWS Transform, Kiro, and CodeScene ACE are used safely and effectively across Amach.

Please note: this role operates on a hybrid model, with 2 days per week in the London office.

Key Responsibilities

  • Partner with Software Engineering to define and implement engineering standards and guardrails that enable AI to scale safely
  • Define how approved, in-scope AI engineering tools can be used safely across coding, testing, documentation, DevOps, repository activity, and review evidence
  • Lead on AI engineering guardrails, adoption, and control across tools such as GitHub Copilot, AWS Q Developer, AWS Transform, Kiro, CodeScene ACE, and other in-scope platforms, including the use of MCP servers
  • Apply engineering-specific controls for repository access, human review, generated artefact evidence, secure coding checks, and exception handling
  • Support existing engineering governance including GitHub Enterprise migration governance, GitHub user support, Copilot usage and admin support, and Q and Transform guardrails on the central repository
  • Track and escalate AI engineering risks, exceptions, and technical debt where needed
  • Create an AI engineering tool usage matrix setting clear perimeters for each tool, develop an AI-enabled SDLC playbook so developers know when and how tools may be used, and produce a code review, validation, and traceability checklist for AI-generated outputs
  • Deliver a GitHub Enterprise migration governance roadmap with risks and dependencies visible against the end-of-2026 target and maintain an AI engineering risk, exception, and technical debt log
  • Produce adoption material for engineering communities of practice to drive safe and effective AI tool usage

Requirements

  • Proven experience defining AI SDLC guardrails, including MCP server allow-listing, access control, generated artefact review, and audit evidence
  • Strong hands-on experience with the GitHub ecosystem including GitHub Enterprise, GitHub Actions, and Git workflow
  • Familiarity with GitHub Copilot, AWS Q Developer, AWS Transform, Kiro, or comparable agentic development tools
  • Track record of establishing engineering standards, governance, and controls across delivery teams
  • Confidence engaging engineering communities of practice and driving adoption across technical teams
  • Ability to step in quickly and shape safe AI adoption from day one

Nice to have

  • Example deliverables, templates, or accelerators you can bring to move quickly and accelerate implementation

What’s in it for you: 

  • An opportunity to join a fast-growing company  
  • Options for career advancement 
  • Learning and development opportunities 
  • Flexible working environment
  • Competitive salaries based on experience 

Equal Opportunity Employer:

Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.

If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!

Not for you?

Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.

P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.

At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers. All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace. 

Your personal data

Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:

  • Used lawfully, fairly and in a transparent way
  • Collected only for valid purposes and not used in any way that is incompatible with those purposes
  • Relevant to the purposes we have told you about and limited only to those purposes
  • Accurate and kept up to date
  • Kept only as long as necessary for the purposes we have told you about
  • Kept securely

If you would like to contact us about your data, please use the following address: [email protected]

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