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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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