Job Summary
This Architect role focuses on delivering complex AI deployment architecture projects within a hybrid work model for a global organization. The professional will manage end to end project execution coordinate cross functional teams and ensure high quality AI solutions are deployed reliably into production environments. Experience in telecom billing and revenue management is beneficial.
Responsibilities
- Manage large scale AI deployment architecture projects from initiation through closure ensuring that project scope schedule and quality objectives are consistently achieved within agreed constraints
- Coordinate cross functional teams of engineers architects analysts and stakeholders to ensure AI solutions are designed built and deployed in alignment with enterprise architectural guidelines and business expectations
- Monitor project plans milestones and dependencies using structured project management practices to ensure timely delivery of AI deployment initiatives in a hybrid work environment
- Drive detailed project planning for AI infrastructure environments and integration workflows to ensure robust secure and scalable deployments that support long term business growth
- Track project risks issues and assumptions related to AI deployment architecture and implement effective mitigation actions that reduce business impact and improve delivery predictability
- Collaborate with product owners data scientists and platform engineers to translate AI solution requirements into executable deployment plans that are technically feasible and operationally sustainable
- Oversee project governance forums and status reporting providing clear and concise progress updates resource needs and risk insights to senior stakeholders and steering committees
- Ensure alignment of AI deployment architecture projects with organizational standards for security compliance and data privacy thereby protecting customer trust and regulatory adherence
- Optimize project resource utilization across hybrid teams by balancing workloads clarifying priorities and enabling efficient collaboration across time zones where needed
- Drive continuous improvement by capturing lessons learned from AI deployment projects and translating these insights into refined delivery processes and reusable best practices
- Partner with operations and support teams to ensure AI solutions are handed over with well defined runbooks monitoring strategies and incident response procedures for stable production operations
- Engage with telecom billing and revenue management stakeholders where applicable to ensure AI deployment outcomes support accurate charging rating and revenue assurance processes
- Measure project outcomes using agreed key performance indicators such as deployment reliability time to market and stakeholder satisfaction to demonstrate tangible business value from AI initiatives
Qualifications
- Require extensive experience in managing complex technology projects involving AI deployment architecture with a proven track record of delivering production ready solutions in enterprise environments
- Require strong understanding of cloud based infrastructure containerization orchestration and continuous integration and continuous delivery practices to support automated and repeatable AI deployments
- Require ability to interpret solution designs data flows and integration patterns so that project plans accurately reflect the technical realities of AI platforms and related systems
- Require excellent communication and stakeholder management skills to facilitate collaboration between technical and non technical teams and to manage expectations in a hybrid work model
- Require prior exposure to enterprise governance processes including risk management change control and compliance review for technology programs with significant business impact
- Nice to have experience in telecom billing and revenue management domains including understanding of rating charging invoicing and revenue assurance processes that may interface with AI solutions
- Nice to have familiarity with data governance model lifecycle management and monitoring practices that ensure AI deployments remain ethical explainable and aligned with organizational values
- Nice to have experience working with distributed or hybrid teams and using collaboration tools that support effective planning tracking and communication in complex technology programs
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.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
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