Job description

AI/ML Engineer - Agentic AI (Remote) Location: Remote Employment Type: Full-Time Job ID: 00070289403 About the Role As a Senior AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications. In this role, you will: • Build AI solutions using LLMs, agents, and RAG frameworks. • Design scalable AI architectures with workflow orchestration, memory, and state management. • Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness. • Integrate enterprise data sources and develop intelligent AI workflows. • Deploy and manage AI applications using LLMOps/MLOps best practices. Work Model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. We support a healthy work-life balance through our wellbeing programs. What You Need to Have to Be Considered • 8+ years of experience in AI/ML, Data Science, or Software Engineering. • Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques. • Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering. • Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms. • Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex. • Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance. • Knowledge of scalable architecture, workflow orchestration, and AI governance. • Experience deploying production AI solutions using MLOps/LLMOps practices. These Will Help You Stand Out • Experience with multi-agent systems and advanced orchestration frameworks. • Cloud expertise in Azure, AWS, or Google Cloud. • Knowledge of AI security, compliance, and responsible AI practices. • Experience in regulated industries such as healthcare, insurance, or banking. • Relevant AI, ML, or cloud certifications. Salary and Other Compensation: Applicants will be accepted till 9/18/2026 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* The annual salary for this position will be in the range of $113,000 - $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. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! Apply Now! #LI-IK1 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. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

AI/ML Engineer - Agentic AI (Remote)
Location: Remote
Employment Type: Full-Time
Job ID: 00070289403
Build AI solutions using LLMs, agents, and RAG frameworks.
Design scalable AI architectures with workflow orchestration, memory, and state management.
Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness.
Integrate enterprise data sources and develop intelligent AI workflows.
Deploy and manage AI applications using LLMOps/MLOps best practices.
What You Need to Have to Be Considered
8+ years of experience in AI/ML, Data Science, or Software Engineering.
Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques.
Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms.
Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance.
Knowledge of scalable architecture, workflow orchestration, and AI governance.
Experience deploying production AI solutions using MLOps/LLMOps practices.
These Will Help You Stand Out
Experience with multi-agent systems and advanced orchestration frameworks.
Cloud expertise in Azure, AWS, or Google Cloud.
Knowledge of AI security, compliance, and responsible AI practices.
Experience in regulated industries such as healthcare, insurance, or banking.
Relevant AI, ML, or cloud certifications.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningazurepythonaws

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave