Senior AI/ML Engineer — Remote, Agentic AI & LLMs

Cognizant; Denver (CO); Remote; USD 132,000 - 150,000; Full time

Benefits offered by this job

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

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. You will work with cross-functional teams to deliver scalable, secure, production-ready AI applications.

The role requires 8+ years in AI/ML, strong knowledge of ML algorithms, agentic AI concepts, and hands-on experience with OpenAI, Azure OpenAI, Anthropic, Gemini, LangChain, LangGraph, Semantic Kernel, or LlamaIndex.

Qualifications

• 8+ years of experience in AI/ML, Data Science, or Software Engineering.
• Strong understanding of ML 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 experience

ML algorithms & evaluation

Agentic AI concepts

Python

MLOps/LLMOps

Multi-agent systems

workflow orchestration

AI governance

LLM platforms

Tools

OpenAI

Azure OpenAI

Anthropic

Gemini

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Azure

AWS

Google Cloud

Job description

Cognizant is seeking a Senior AI/ML Engineer to design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will work with cross-functional teams to deliver scalable, secure, production-ready AI applications.

The role requires 8+ years in AI/ML, strong knowledge of ML algorithms, agentic AI concepts, and hands-on experience with OpenAI, Azure OpenAI, Anthropic, Gemini, LangChain, LangGraph, Semantic Kernel, or LlamaIndex.