AI Value Architect, Dubai, Dubai, United Arab Emirates

Job Summary :

The AI Value Architect owns the AI value journey for a business area (for example Revenue and Commercial, Operations and Guest, or Finance, HR and Cargo) end to end: all the AI we build and run to create value there. You are an elevated technical product leader who sits between the business and the engineers: you turn business needs into a prioritized backlog, lead a standing squad, and still build alongside them. This is a leadership role, not a facilitation one. You are the AI counterpart to the business area’s leadership, and you align AI efforts across squads so the whole vertical compounds rather than fragments.

Accountabilities & Responsibilities

Own the value, not just the delivery. Start from the business outcome and the why, then lead your squad from discovery to production and measurable impact.
Own the AI value journey for your business area single-threaded: one owner, one set of outcomes, and clear accountability to the business.
Translate business needs into a prioritized AI backlog with your Business Product Owner, and make the calls on what to build, what to defer, and what not to build.
Lead a standing squad of Forward Deployed AI Engineers, set the technical direction, and keep quality, evaluation, security and cost on track.
Stay hands-on: code alongside the team, review, and shape the agentic architecture. No overhead, everyone builds, the AI Value Architect included.
Define the success measures, feedback loops and validation gates for your business area’s AI work, and build the measurement discipline to show the business impact of the AI investment.
Run tight feedback loops and take a systems view across the delivery lifecycle: know when to adjust, redesign or pivot, and balance your squad’s capacity between building reusable AI capability and delivering with it.
Align AI efforts across business areas and squads: find synergies, reuse patterns, surface and unlock underused capability, and prevent parallel reinvention, on the Hub’s paved road and MCP fabric.
Be the AI counterpart to your business area’s leadership: build trust, manage expectations on cost, performance and feasibility, and turn AI into outcomes the business owns.
Coach and grow your squad and business partners on effective and responsible AI use, lift the business area’s AI fluency over time, and build lasting AI expertise in a standing team rather than project-hopping.
Protect the guest and the operation: keep solutions human-centric and speak up when AI is not the right tool.

Education & Experience

We look for a technical product leader who pairs deep business understanding with hands-on agentic-AI engineering and owns outcomes end to end:
Deep business understanding: you sit with senior stakeholders as a credible peer and turn business goals into AI outcomes, ideally in aviation or a comparable operations-heavy domain.
Hands-on engineering: you have built and shipped agentic AI and production software yourself, and you still code alongside your squad. This is a build-first leader, not a manager who has left the tools behind. You keep your own AI
fluency current and stay close to new AI capabilities relevant to your business area, so your advice carries weight.
Single-threaded ownership: a track record of owning a product or an end-to-end outcome from discovery through production to measurable business impact.
Experience leading, coaching and growing a small technical team, and setting direction on architecture, quality, evaluation, security and cost.
Strong grasp of the agentic AI stack the squads run on: LLM orchestration, tool calling, RAG, MCP integrations, guardrails, evaluation, and the trade-offs of latency, quality, cost and reliability.
A record of aligning work across teams, defining success measures and feedback loops, and turning scattered efforts into reusable patterns and shared platforms.
Curiosity and a business-first, human-centric mindset: aviation is made for humans, by humans, and AI supports people, it does not replace them. Fluent English, comfortable in a culturally diverse, international team.
Typically 8+ years across software and AI, including hands-on GenAI and LLM work and time owning delivery. A natural next step for a Forward Deployed AI Engineer (Technical Lead) who has grown into business ownership.
Master’s degree, or a strong Bachelor’s degree, in Computer Science, Software Engineering, Data Science, AI/ML or a related technical field, or equivalent practical experience; relevant cloud-AI, GenAI, agentic-AI or MLOps certifications are an advantage.

CogAE106

À savoir avant de postuler

Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.

À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.