Senior AI/ML Manager - Agentic AI (Remote)

Cognizant; Nashville (TN); Remote; USD 130,000 - 150,000; Full time

Job summary

Cognizant is seeking a Senior AI/ML Manager to design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. This remote role involves cross-functional collaboration to deliver scalable, secure, production-ready AI applications.

The role requires 12+ years of AI/ML/DS/SE experience, deep knowledge of ML algorithms, and hands-on work with major AI platforms. Expect a challenging, high-impact environment with MLOps/LLMOps practices.

Qualifications

• 12+ years of AI/ML, Data Science, or Software Engineering experience.
• 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

AI/ML leadership

Agentic AI

LLM frameworks

Python programming

MLOps

Model evaluation

Prompt engineering

LangChain

LangGraph

Semantic Kernel

LlamaIndex

RAG architectures

LLMOps

Cloud platforms

Tools

OpenAI API

Azure OpenAI

Anthropic

Gemini

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Python

Job description

Senior AI/ML Manager - Agentic AI (Remote)

Location: Remote

Employment Type: Full-Time

About the Role

As a Senior Manager - 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

• 12+ 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 $130,000 - $150,000 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!

#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.