AI Engineer

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.

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.

To stand out, consider the following:

• 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.

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.