Senior AI/ML Manager - Agentic AI & LLM Architect (Remote)

Cognizant; Honolulu (HI); Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan

Job summary

Cognizant is seeking a Senior AI/ML Manager for Agentic AI (Remote). This full-time role focuses on designing, building, and deploying enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures.

You will lead cross-functional teams to deliver scalable, secure, and production-ready AI applications. The ideal candidate has 12+ years in AI/ML, strong ML evaluation skills, and hands-on experience with major platforms and Python AI frameworks.

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 (OpenAI, Azure OpenAI, Anthropic, Gemini).
• 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

LLMs & Agentic AI

RAG architectures

Python

LangChain

LangGraph

Model evaluation

Tools

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Job description

Cognizant is seeking a Senior AI/ML Manager for Agentic AI (Remote). This full-time role focuses on designing, building, and deploying enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures.

You will lead cross-functional teams to deliver scalable, secure, and production-ready AI applications. The ideal candidate has 12+ years in AI/ML, strong ML evaluation skills, and hands-on experience with major platforms and Python AI frameworks.