Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities.
About Cognizant Consulting
Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. By combining deep industry knowledge with advanced technology advisory capabilities, we deliver innovative, high‑impact solutions to Fortune 500 and Global 2000 clients.
About the Role
As a Partner Consulting – Enterprise AI Delivery & Architecture, you will make an impact by leading end‑to‑end delivery of complex Generative AI and enterprise AI transformation programs, while staying closely engaged in architecture and engineering decisions.
You will be a valued member of the Enterprise AI Consulting Practice and work collaboratively with client executives, enterprise architects, engineering teams, and security/data leaders to design, build, and deploy production‑grade AI solutions that deliver measurable business value.
This role emphasizes delivery leadership and hands‑on technical depth, with less focus on executive sponsorship and more accountability for solution quality, execution rigor, and team outcomes.
In This Role, You Will
- Lead multi‑workstream enterprise AI and GenAI delivery programs, owning scope, planning, staffing models, dependencies, risk management, and client communications
- Architect and oversee key technical decisions, including model selection, RAG design, context schemas, orchestration patterns, tool‑use strategies, memory design, and evaluation frameworks
- Establish and enforce engineering and delivery standards (ADLC‑style phases, quality gates, testing/evaluations, observability, and release readiness) to ensure production‑grade outcomes
- Partner with enterprise architects to integrate AI capabilities across ERP, SCM, CRM, data platforms, identity, and middleware layers
- Translate ambiguous business requirements into clear backlogs, technical specifications, and acceptance criteria, enabling rapid iteration while protecting security and compliance
- Build reusable AI delivery assets, including reference architectures, accelerators, prompt and context libraries, evaluation harnesses, and delivery playbooks
- Coach and mentor senior engineers and architects through design reviews, code reviews, and hands‑on problem solving, raising the bar on engineering quality across teams
- Consistently demonstrate the Cognizant Way to Lead, balancing client focus, delivery accountability, and financial discipline
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible.
Based on this role’s business requirements, this is a remote position; however, the role requires a hybrid and travel‑based delivery model, including travel to client sites and Cognizant offices.
The working arrangements for this role are accurate as of the date of posting and may change based on project or client needs. We will always be clear about role expectations.
What You Must Have to Be Considered
- 15–20 years of experience in software engineering, solution architecture, or enterprise technology delivery
- Proven experience delivering production enterprise systems in complex, regulated environments
- Hands‑on experience designing and guiding delivery of LLM‑powered applications, including RAG pipelines, tool‑use agents, and multi‑step workflows
- Strong command of cloud‑native architectures (APIs, microservices, event‑driven systems), plus security and observability best practices
- Practical experience with embeddings, semantic search, vector databases, re‑rankers, and RAG evaluation frameworks
- Experience integrating AI solutions with enterprise platforms, data systems, and systems‑of‑record
- Demonstrated delivery leadership across large transformation programs (ERP modernization, cloud migration, data transformation)
- Comfort operating in regulated environments, with strong attention to privacy, security, auditability, and data residency
Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, and Leading the Business.
These Will Help You Succeed
- Deep understanding of enterprise data architecture, governance, lineage, and operationalization for AI context and retrieval
- Strong experience with prompt and context engineering, including structured outputs and tool‑use prompting
- Experience designing agentic systems using orchestration frameworks or custom implementations
- Exposure to DevSecOps, MLOps, or LLMOps practices in enterprise settings
- Prior client‑facing consulting or embedded engineering experience in a professional services environment
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; cloud certifications (AWS, Azure, GCP) preferred
Compensation
The annual base salary for this position is $162,000 - $257,000, based on experience
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Cognizant offers a competitive benefits package, which may include:
- Medical, dental, vision, and life insurance
- 401(k) plan with employer contributions
- Employee stock purchase plan
- Employee assistance program
- Paid holidays and paid time off
- Paid parental leave and fertility assistance
- Learning and development programs and certifications
La communauté Cognizant :
Nous sommes une équipe de professionnels dont les membres s'apprécient et se soutiennent mutuellement. Nos collaborateurs sont les garants d'un lieu de travail dynamique, collaboratif et inclusif où chacun peut s'épanouir.
- Cognizant est une communauté mondiale qui compte plus de 300 000+ collaborateurs dans le monde entier.
- Nous ne nous contentons pas de rêver de façons idéales, nous apportons des améliorations concrêtes
- Nous prenons soin de nos collaborateurs, de nos clients, de notre entreprise, de nos communautés et du climat, en faisant ce qui est juste.
- Nous favorisons un environnement innovant où vous pouvez construire le plan de carrière qui vous convient.
À propos de nous :
Cognizant (NASDAQ : CTSH) est un concepteur d’IA et un fournisseur de services technologiques. Avec notre gamme de solutions IA full-stack, nous accompagnons nos clients au carrefour de l’investissement dans l’IA et de la valeur ajoutée. Notre grande expertise sectorielle, des processus et de l’ingénierie nous permet de convertir le contexte propre à chaque entreprise en systèmes technologiques amplificateurs du potentiel humain, générateurs de résultats tangibles et garants de l’avantage des acteurs internationaux dans un monde en constante évolution. Découvrez notre méthode sur www.cognizant.com ou suivez @cognizant.
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.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Mentions légales :
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.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.