AI/ML Engineer - Agentic AI (Remote)

Cognizant; Austin (TX); Remote; USD 113,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AI/ML Engineer to design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. This remote role offers the opportunity to collaborate across teams on production-ready AI applications.

Responsibilities include building AI solutions with LLMs, designing scalable architectures, evaluating systems for accuracy and hallucinations, and deploying via MLOps/LLMOps practices. Applicants must be authorized to work in the U.S.

Qualifications

• 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.

Responsibilities

• 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.

Skills

8+ years experience

ML algorithms

Evaluation metrics

Model validation

Agentic AI

LLMs

RAG

Memory

Reasoning

Prompt engineering

AI evaluation

Detect hallucinations

Model performance

Scalable architecture

Workflow orchestration

AI governance

MLOps

LLMOps

Tools

OpenAI

Azure OpenAI

Anthropic

Gemini

Other platforms

Python

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Job description

AI/ML Engineer - Agentic AI (Remote)

Location: Remote

Employment Type: Full-Time

Job ID: 00070289402

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:

• 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!

#LI-IK1

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.