About the role:
As an AI-Enabled Data Architecture Consultant, you will make an impact by designing and implementing modern data and AI platforms that help organizations accelerate digital transformation, unlock business insights, and operationalize enterprise AI solutions. You will be a valued member of the Data & AI Consulting team and work collaboratively with business stakeholders, enterprise architects, data engineers, cloud platform teams, and AI practitioners to deliver scalable and innovative solutions.
In this role, you will:
- Design and implement AI-enabled data platforms, lakehouse architectures, and cloud-native data ecosystems.
- Develop and operationalize Retrieval Augmented Generation (RAG) solutions and enterprise AI applications.
- Build AI agents and intelligent automation solutions utilizing Claude and modern orchestration frameworks.
- Architect scalable batch and streaming data pipelines to support AI, machine learning, analytics, and business intelligence workloads.
- Lead data modernization initiatives by integrating legacy systems, ERP platforms, and operational applications into modern cloud architectures.
Work model:
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role’s business requirements, this is an onsite position requiring 5 days per week in a client or Cognizant office in Cleveland, Ohio.
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:
- 8+ years of experience in Data Engineering, Data Architecture, Cloud Data Platforms, and AI/Generative AI solution delivery.
- Hands-on experience developing enterprise AI solutions using Claude, LLM integrations, prompt engineering, Agentic AI, and Retrieval Augmented Generation (RAG).
- Strong expertise with vector databases such as Pinecone, Weaviate, or pgvector, and orchestration frameworks including LangChain.
- Proven experience designing and implementing modern data architectures utilizing Spark, Kafka or Flink, Airflow, dbt, and Delta Lake or Apache Iceberg.
- Experience with cloud infrastructure and platform engineering tools including Terraform, Kubernetes, Docker, and Infrastructure as Code (IaC).
- Strong knowledge of enterprise data integration patterns including CDC, Debezium, GoldenGate, Fivetran, and ERP or mainframe integrations.
- Experience establishing data governance frameworks, metadata management, data cataloging, lineage, and access controls using platforms such as Unity Catalog, Collibra, DataHub, or OpenMetadata.
- Demonstrated experience optimizing cloud environments through FinOps best practices, cost allocation strategies, tagging frameworks, and AI workload cost modeling.
- Strong stakeholder management, consulting, and communication skills with the ability to define AI and data modernization roadmaps.
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related field, or equivalent professional experience.
These will help you stand out:
- Experience with Azure Databricks and Azure OpenAI services.
- Experience working with Anthropic Claude in enterprise environments.
- Knowledge of multi-agent AI architectures and autonomous AI systems.
- Experience designing and implementing knowledge graph solutions.
- Expertise supporting healthcare data platforms and healthcare industry use cases.
- Experience leading large-scale enterprise data modernization and cloud transformation programs.
- Relevant cloud, AI, data engineering, or architecture certifications.
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.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2026
The annual salary for this position is between $ 130,000 - $ 150,000 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.
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.
