Senior Java Engineer with Agentic AI - Hybrid
Important Disclaimers:
**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**
In this role, you will:
- Design and implement robust big data solutions that process high volume datasets with consistent performance and reliability in a hybrid work environment
- Develop and maintain backend services using core Java and Java 8 features that ensure secure modular and reusable components for enterprise applications
- Integrate agentic AI capabilities into existing applications to automate complex decision workflows and improve overall business responsiveness
- Optimize big data pipelines by refining data models tuning queries and improving resource utilization to reduce latency and operational costs
- Collaborate with architects and senior engineers to refine solution designs that align with organizational technology standards and long term platform strategies
- Review code produced by the development team to ensure adherence to coding standards and to improve software quality through constructive feedback
- Coordinate with product owners and business analysts to refine technical requirements into detailed implementation tasks that can be delivered iteratively
- Implement comprehensive unit tests and integration tests that increase system reliability and reduce defects in production environments
- Work closely with operations and support teams to ensure smooth deployments stable releases and effective monitoring of key application health metrics
- Apply secure coding practices and data protection standards so that applications handle sensitive information responsibly and consistently
- Document solution designs data flows and integration patterns in a clear manner to support maintainability and knowledge sharing across teams
- Mentor junior developers by sharing best practices in big data engineering core Java programming and agentic AI implementation patterns
- Contribute to continuous improvement initiatives by identifying technical debt proposing enhancements and supporting innovation that benefits business outcomes
Locations: Bentonville, AR
Work model: Hybrid
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 days a week in a client or Cognizant office in Bentonville, AR. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered (Required):
- Demonstrate extensive experience in designing and implementing big data solutions using modern distributed processing and storage technologies
- Possess strong programming expertise in core Java and Java 8 including collections concurrency and functional programming constructs applied in real projects
- Show proven ability to integrate agentic AI frameworks or tools into enterprise applications to automate tasks and augment decision making processes
- Exhibit familiarity with inbound logistics processes in retail such as order routing stock movements and warehouse operations even if gained through supporting systems
- Display solid understanding of software design principles including modularity scalability and testability across complex distributed applications
- Bring experience working in hybrid delivery models with effective communication and collaboration practices across onsite and remote team members
Illustrate practical knowledge of version control build automation and continuous integration practices that support reliable and repeatable software delivery
Salary and Other Compensation:
Applications will be accepted until 11/15/2026.
The annual salary for this position is from $62k to $112K 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.
