Manager - AI Productivity Engineer at Virgin Atlantic

Crawley, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions Deployment, Project Delivery, Stakeholder Influencing, Agentic Workflows, Enterprise AI Applications, API Architecture, Workflow Redesign, Security Compliance, Technical Accountability, Data Integration, Governance Frameworks, Productivity Engineering, Technical Requirements Definition, Rapid Prototyping, Cognitive Load Reduction, AI Governance

Industry

Airlines and Aviation

Description

Location: Hybrid working, 3 days per week at VHQ, Crawley Hours: 37.5 hours per week, full time Contract Type: Permanent Salary: Competitive Closing Date: 14th April 2026 We review applications on a first come, first served basis and may close the application window early if we receive a high volume of applications. At Virgin Atlantic, we believe travel should feel different. Since day one, we have challenged convention and redefined what a modern airline can be. Today, as we continue to evolve into a more data and technology enabled business, we are investing in AI not as a trend, but as a practical driver of productivity, smarter decision making and meaningful change across our operation. This is an individual contributor role. You will not be leading a large team, but you will operate with a strong project delivery mindset. You will be accountable for investigating, shaping and deploying AI solutions from idea through to integration, influencing stakeholders and driving outcomes across the business. In a nutshell AI only creates value when it meaningfully changes how a business operates. As our Manager, AI Productivity Engineer, you will embed directly within business domains to turn prioritised AI use cases into secure, scalable and integrated solutions. You will combine strong technical capability with deep curiosity about how AI can enhance performance across multiple functions, from Finance and People to Sales and Customer teams. Working through our AI Ignite governance framework, you will take ideas that demonstrate clear strategic value and convert them into working, production ready solutions. Whether building agentic workflows, deploying enterprise AI applications or integrating tools through robust API architecture, your focus will be on pushing the dial on innovation while ensuring measurable business impact. This is not a theoretical AI role. The challenge is integration. Connecting platforms. Embedding AI into live workflows. Ensuring enterprise standards are met. Delivering productivity gains that endure beyond the pilot phase. Day to day * Embed within business functions to identify high friction processes and prioritised AI opportunities * Translate approved AI Ignite use cases into defined technical requirements and delivery plans * Design, build and deploy AI enabled applications and agentic workflows using enterprise AI platforms * Integrate AI solutions into operational systems and enterprise tools through secure API architecture * Rapidly prototype, iterate and productionise solutions that deliver measurable productivity gains * Redesign workflows to reduce manual effort and cognitive load * Partner with Security, Architecture, Engineering and Data teams to ensure responsible and compliant deployment * Upskill colleagues and leave sustainable AI capability within the teams you support About you * Experience building and delivering AI, automation or software solutions that moved beyond experimentation and created real-world impact, whether in production environments, operational teams or scaled internal use. * Integration of AI tools or applications into broader workflows or systems (e.g. via APIs, orchestration frameworks or automation platforms), or the ability to clearly articulate how this would be approached. * Design of AI-enabled workflows, productivity tools or agent-based solutions that meaningfully improved how teams operate. * A track record of translating ambiguous business challenges into defined requirements, delivery plans and working solutions with clear success measures. * Understanding of enterprise security, governance and compliance guardrails, and the ability to design responsibly within them. * Effective collaboration with Engineering, Architecture, Digital or Data teams to embed solutions into complex ecosystems. * Comfort operating as a hands-on, technically accountable individual contributor with strong ownership from idea to outcome. Be yourself – Our differences make us stronger Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (recruitment@fly.virgin.com) feeling confident that we’ve got your individual considerations covered. Our recipe for Leadership At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here

Responsibilities

The role involves embedding directly within business domains to convert prioritized AI use cases into secure, scalable, and integrated solutions, focusing on turning ideas into working, production-ready solutions via the AI Ignite governance framework. Responsibilities include designing, building, and deploying AI applications and agentic workflows, integrating them into operational systems via secure APIs, and redesigning workflows to achieve measurable productivity gains.