About this role
Job Title
AI Efficiency Lead - AI Enablement, Dev & QA, Digital Services
Today, adoption of Artificial Intelligence (AI) capabilities relies largely on part-time champions who support initiatives alongside their primary responsibilities. To help accelerate adoption and improve productivity, we are creating a dedicated role that partners with teams to evaluate how they work and identify opportunities where AI can enhance delivery outcomes across Scrum roles through consistent tools, guidance, and measurable impact.
The scope of the role is at the Service Train level and operates across teams and functions within the train.
The role also serves as a permanent connection between delivery teams and central transformation teams. By helping teams apply centrally developed AI assets in practical delivery environments, the role supports adoption, helps address implementation challenges, and provides structured feedback to improve future solutions. Working closely with teams, the role enables the transition from awareness and experimentation to sustainable adoption and autonomy.
The feedback loop includes identifying effective practices, understanding adoption challenges, sharing practical solutions, and collaborating with central teams to enhance AI assets while maintaining central accountability for quality, consistency, and strategic direction.
Key Accountabilities
AI Adoption Roadmap and Tooling
- Lead and coordinate the AI adoption roadmap across Development (Dev) and Quality Assurance (QA) activities within the Service Train.
- Evaluate, select, and help standardize AI tools, including coding assistants, test generation, code review, and documentation solutions, while establishing usage guidelines.
- Implement, integrate, and scale AI-enabled tools, including agents, copilots, automation capabilities, and knowledge-enabled workflows within delivery environments.
Hands-On Enablement and AI Workflow Adoption Support
- Coach and support teams in integrating AI into their daily engineering and testing practices through practical guidance, enablement sessions, and community-building activities.
- Partner with teams to apply AI-enabled assets in day-to-day work and support their progression toward greater confidence, adoption, and autonomy.
- Collaborate with the Principal QA and Train Architect to align AI practices with quality and architectural standards.
Identify and Address Adoption Challenges
- Identify factors that may affect adoption, including tooling limitations, usability concerns, access constraints, unclear responsibilities, governance questions, skill development needs, dependencies, and organizational change considerations.
- Assess whether challenges are local or systemic, identify practical solutions, and collaborate with the appropriate transformation teams when broader action is required.
Feedback and Continuous Improvement
- Collect and share structured feedback from teams, including recurring themes, adoption challenges, skill development needs, role clarity opportunities, and examples from delivery environments.
- Partner with central teams to improve AI-enabled assets and ensure they remain practical, relevant, and effective for delivery teams while supporting overall strategic direction.
Impact and Responsible Use
- Measure and communicate productivity, efficiency, and quality outcomes associated with AI-assisted practices, and continuously refine approaches based on results.
- Promote responsible, secure, and compliant use of AI in alignment with Amadeus policies, including security, Intellectual Property (IP), and data protection requirements.
Collaboration
The role works closely with other Services AI Efficiency Leads, central transformation teams and leaders, delivery teams, and additional transformation stakeholders.
Within the Service Train, the role primarily partners with the Principal QA and the Train Architect to support alignment, adoption, and continuous improvement initiatives.
Ideal Candidate
- Demonstrated experience in software engineering, development, and/or QA, including practical application of AI and Generative Artificial Intelligence (GenAI) tools across the software development lifecycle.
- Understanding of the AI tooling ecosystem, including agents, copilots, automation capabilities, AI-assisted delivery solutions, and knowledge-enabled workflows.
- Technical understanding of engineering practices, platform considerations, and tooling integration, with the ability to collaborate on the development and improvement of AI-enabled assets.
- Interest in advancing developer productivity, tooling effectiveness, and continuous improvement, with the ability to coach, influence, and support change across geographically distributed teams.
- Awareness of AI governance, security, and IP considerations. Experience with Agile methodologies, the Scaled Agile Framework (SAFe), and web or digital delivery environments is beneficial.
Success measures
Success is measured through the effectiveness and quality of AI adoption across the Service Train, alongside measurable improvements in engineering productivity and delivery outcomes.
- Demonstrated improvements in productivity and quality through the adoption of AI-assisted Development and QA practices.
- Increased team adoption of AI-enabled assets and growing autonomy in applying AI-supported ways of working.
- Reduction in recurring adoption challenges, fewer unresolved blockers, and improved readiness across deployment waves.
- High-quality feedback provided to central teams, resulting in meaningful enhancements to AI-enabled assets while maintaining alignment with strategic objectives.
- Improved identification and resolution of tooling, skills, and role clarity opportunities, leading to stronger alignment between centrally developed assets and operational needs.
What we can offer you ?
A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.
A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
珞 A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
A complete rewards offer - Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits.
A flexible working model - We want our employees to do their best work, wherever and however it works best for them.
A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
Diversity & Inclusion
Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
Amadeus is an equal opportunity employer and committed to an accessible recruitment process. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
Be aware of recruitment scams
Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.