About the role
As an AI Engineer, you will make an impact by designing and enabling AI-driven cloud solutions that help organizations accelerate innovation and business value. You will be a valued member of the engineering team, collaborating with architects, developers, data professionals, and business stakeholders to deliver scalable, secure, and modern solutions leveraging AWS cloud technologies and AI/ML capabilities.
In this role, you will:
- Design and implement cloud-native solutions using AWS services across Analytics, Compute, Database, Application Integration, and Serverless technologies.
- Partner with Agile teams to define scalable architectures and deliver high-quality software solutions aligned with business objectives.
- Apply AI/ML capabilities, patterns, and integration approaches to support intelligent business applications and digital transformation initiatives.
- Establish and promote best practices for data security, ingestion, warehousing, storage, and governance.
- Collaborate with cross-functional stakeholders to evaluate requirements, recommend technical solutions, and communicate architectural decisions effectively.
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 days a week in a Cognizant or client office in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. [Global Job...oilerplate | Word]
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. [Global Job...oilerplate | Word]
What you need to have to be considered
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field.
- 8+ years of experience in IT, software engineering, solution architecture, or business technology development.
- 2+ years of experience working with AI/ML technologies, capabilities, integration patterns, and enterprise use cases.
- Proven experience designing, architecting, and developing solutions using AWS Cloud technologies.
- Hands-on knowledge of AWS services across Analytics, Application Integration, Compute, Database, and Serverless categories.
- Strong understanding of data standards, including security, ingestion, warehousing, and storage practices.
- Experience collaborating within Agile delivery teams and applying software engineering best practices.
- Excellent communication, stakeholder management, and collaboration skills.
These will help you stand out
- Experience with Snowflake data platform.
- Experience with data integration tools such as Matillion, Pentaho, or IBM DataStage.
- Knowledge of APIs, Apigee, developer portals, JSON, and RESTful services.
- Proficiency in Python, R, and predictive analytics techniques.
- Experience with containerization and orchestration technologies such as Docker, Kubernetes, OpenShift, Ansible, and Nexus.
- Familiarity with DevOps and DevSecOps practices and tools including Jenkins, Git, GitHub, Chef, Puppet, and Packer.
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 July 26, 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.
