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Practice - AIA - Artificial Intelligence and Analytics

**About AI & Analytics:** Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

In this role, you will:

• Elastic Search Expansion - Lead efforts to expand Elastic Search for 2–3 new use cases.

• Optimize indexing, query performance, and data modeling for search-driven applications.

• API Development for Data Access - Design and implement secure, scalable APIs to enable seamless data access.

• Ensure APIs adhere to enterprise standards for authentication, authorization, and performance.

• Real-Time Data Integration - Implement Apache Kafka for real-time data ingestion.

• Develop and deploy ~4 simple integrations to support streaming data pipelines.

• Platform-Level Enhancements - Drive ongoing improvements in orchestration, auditing, logging, and metadata integration.

• Establish best practices for platform reliability, observability, and compliance.

• Cloud Data Services Enablement - Enable AWS Glue, EMR, and SageMaker on Iceberg as alternatives to Cloudera.

• Define and implement strategies for data processing, machine learning workflows, and cost optimization on AWS.

• Team Leadership - Mentor and guide a team of engineers to deliver high-quality solutions.

• Collaborate with cross-functional stakeholders to align platform capabilities with business needs.

• Ensure adherence to agile practices, timely delivery, and continuous improvement.

What you need to have to be considered

• Strong expertise in distributed systems, data engineering, and cloud platforms (AWS).

• Hands-on experience with Elastic Search, Kafka, and data orchestration tools.

• Familiarity with data lake technologies (Iceberg) and machine learning platforms.

• Excellent leadership, communication, and problem-solving skills.

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Applications will be accepted until 23 Dec 2025.

Salary and Other Compensation:

The hourly salary for this position is between $[119,000 - 139,500] 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

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.