About the role
As an AI & ML Architect, you will make an impact by designing and leading enterprise-scale Artificial Intelligence, Generative AI, Agentic AI, and Machine Learning solutions that drive business value and innovation. You will be a valued member of the AI & Analytics team and work collaboratively with business stakeholders, data scientists, engineering teams, enterprise architects, and technology leadership to define and deliver strategic AI initiatives.
In this role, you will:
- Define end-to-end architecture for AI, Generative AI, Agentic AI, and Machine Learning solutions across the enterprise.
- Evaluate business challenges and recommend appropriate approaches, including machine learning, deep learning, natural language processing (NLP), retrieval-augmented generation (RAG), Generative AI, and AI agents.
- Establish reusable architecture patterns, frameworks, standards, and reference architectures to accelerate solution delivery.
- Ensure AI solutions meet enterprise requirements for scalability, security, reliability, performance, governance, and maintainability.
- Lead model strategy, including feature engineering, model prioritization, calibration, training methodologies, and optimization to improve business outcomes.
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 hybrid position requiring 3 to 4 days per week in a client or Cognizant office in Glendale, Wisconsin. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Extensive experience architecting and delivering enterprise-scale AI, Machine Learning, and Generative AI solutions.
- Strong expertise in machine learning, deep learning, NLP, large language models (LLMs), and modern AI frameworks.
- Experience designing solution architectures that align with enterprise security, governance, scalability, and performance requirements.
- Proven ability to collaborate with business and technical stakeholders to translate complex requirements into AI-driven solutions.
- Experience developing model strategies, including feature engineering, model evaluation, tuning, and performance optimization.
- Strong understanding of AI lifecycle management, model deployment, monitoring, and continuous improvement practices.
These will help you stand out
- Experience with Agentic AI frameworks, autonomous agents, and multi-agent architectures.
- Knowledge of retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic search solutions.
- Experience establishing AI architecture standards, governance frameworks, and enterprise AI best practices.
- Familiarity with reinforcement learning methodologies and advanced model calibration techniques.
- Experience leading global, cross-functional teams and influencing architectural decisions across multiple business units.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until November 15, 2026
The annual salary for this position is between $ 115,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
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 the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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.
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.
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.
