Senior AI/ML Manager: Agentic AI & RAG Architect (Remote)

Cognizant; Montpelier (VT); Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus PTO

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior Manager - AI/ML Engineer to design, build, and deploy enterprise AI solutions using LLMs, Agentic AI, and RAG architectures. The role collaborates with cross-functional teams to deliver scalable, secure, production-ready AI applications in a remote setting.

You will lead with 12+ years of AI/ML/DS/SE experience, evaluate models for hallucinations, integrate enterprise data, and implement MLOps/LLMOps practices.

Qualifications

• 12+ years of experience in AI/ML, Data Science, or Software Engineering.
• Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering.
• Hands-on experience building AI solutions using major platforms and frameworks.
• Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
• Knowledge of scalable architecture, workflow orchestration, and AI governance.

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 experience

LLMs

RAG architectures

Memory management

Prompt engineering

Model evaluation

Agentic AI concepts

LLMOps

MLOps

Tools

Python

LangChain

LangGraph

Semantic Kernel

LlamaIndex

OpenAI / Azure OpenAI

Job description

Cognizant is seeking a Senior Manager - AI/ML Engineer to design, build, and deploy enterprise AI solutions using LLMs, Agentic AI, and RAG architectures. The role collaborates with cross-functional teams to deliver scalable, secure, production-ready AI applications in a remote setting.

You will lead with 12+ years of AI/ML/DS/SE experience, evaluate models for hallucinations, integrate enterprise data, and implement MLOps/LLMOps practices.