Remote Gen AI Architect: Enterprise LLM & Agentic AI

Cognizant; Boise (ID); Remote; USD 103,000 - 163,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays and PTO

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Gen AI Architect to lead the design and delivery of enterprise Generative AI solutions. You will architect scalable AI platforms, leverage LLMs, Agentic AI frameworks, and modern web technologies, and collaborate with engineering, product, and business teams to drive measurable value.

You will define technical strategy, establish standards, mentor engineers, and own end‑to‑end delivery from architecture through deployment.

Qualifications

• 12+ years of experience designing and delivering large-scale distributed systems, enterprise platforms, or complex software applications.
• Proven success delivering production-grade AI and LLM-powered solutions, including agentic AI systems, RAG platforms, intelligent automation, or conversational AI applications.
• Deep expertise with Generative AI technologies including OpenAI models, prompt engineering, vector databases, retrieval frameworks, and AI orchestration patterns.

Responsibilities

• Architect and develop enterprise-scale Generative AI applications utilizing LLMs, RAG, structured data, workflow automation, and intelligent orchestration.
• Design and implement Agentic AI solutions using LangGraph, LangChain, or similar frameworks to support complex reasoning, memory management, tool integration, and human-in-the-loop workflows.
• Build scalable and fault-tolerant workflow orchestration solutions using Temporal or similar technologies.

Skills

Full-stack engineering

ReactJS

Node.js

Education

Bachelor’s/Master’s/PhD in CS/Engineering

Tools

LangGraph

LangChain

AutoGen

Job description

Cognizant is seeking a Gen AI Architect to lead the design and delivery of enterprise Generative AI solutions. You will architect scalable AI platforms, leverage LLMs, Agentic AI frameworks, and modern web technologies, and collaborate with engineering, product, and business teams to drive measurable value.

You will define technical strategy, establish standards, mentor engineers, and own end‑to‑end delivery from architecture through deployment.