AI Engineer - (Agentic AI & LLM) (Hybrid)
About the Role
Cognizant is seeking an AI Engineer with expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and Full Stack Development to join our growing AI practice.
In this role, you will design, build, and deploy AI-powered applications that leverage modern LLM platforms, retrieval-augmented generation (RAG), agentic workflows, and cloud-native architectures. You will collaborate with architects, data scientists, product teams, and business stakeholders to deliver innovative solutions that drive measurable business outcomes.
In This Role, You Will
- Develop and deploy AI-native applications utilizing Large Language Models and foundation model APIs.
- Design and implement agentic AI workflows, orchestration frameworks, memory systems, and multi-agent solutions.
- Build and optimize retrieval-augmented generation (RAG) pipelines using embeddings, vector databases, and retrieval strategies.
- Integrate AI capabilities into enterprise applications through scalable APIs and modern full-stack development practices.
- Partner with cross-functional teams to translate business requirements into production-ready AI solutions.
- Implement responsible AI practices, including guardrails, safety controls, audit logging, and model governance.
- Develop evaluation frameworks, prompt testing strategies, and regression testing processes to ensure solution quality.
- Monitor and improve AI application performance through observability, tracing, latency management, and cost optimization.
- Support end-to-end AI solution delivery, from concept and architecture through deployment and ongoing optimization.
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 up to 3 days per week in a client or Cognizant office in Dallas TX . 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.
*Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*
Required Qualifications
To be successful in this role, you will have:
· Strong experience developing and delivering Generative AI solutions using Large Language Models (LLMs).
· Hands-on experience building AI-native applications and integrating model APIs into enterprise systems.
· Experience designing and implementing RAG architectures, vector databases, embeddings, and retrieval optimization techniques.
· Knowledge of agentic AI frameworks, workflow orchestration, tool integration, and multi-agent systems.
· Experience implementing AI governance, safety controls, guardrails, and responsible AI practices.
· Proficiency in modern software development practices, API development, and cloud-native application design.
· Experience building automated testing, evaluation, and monitoring frameworks for AI-powered applications.
· Strong troubleshooting and problem-solving skills with the ability to identify and address AI performance and quality issues.
· Excellent collaboration and communication skills, with experience working in Agile development environments.
Preferred Qualifications
· Experience with leading AI platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, or similar technologies.
· Knowledge of LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or related agentic AI frameworks.
· Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
· Familiarity with MLOps, AIOps, and AI observability tools.
· Experience developing enterprise-scale AI solutions within highly regulated industries.
· Exposure to CI/CD pipelines, DevOps practices, and automated deployment strategies.
· Experience mentoring engineers and contributing to AI engineering best practices.
Salary and Other Compensation:
Applications will be accepted until October 14th , 2026.
The annual salary for this position is between $ 81,337 to $131,500 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
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
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
