Senior Gen AI Architect — Agentic AI & LLM Solutions

Cognizant; Salt Lake City (UT); Remote; USD 103,000 - 163,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Gen AI Architect to design and deliver enterprise AI applications, leveraging LLMs, agentic AI frameworks, and scalable architectures. You will lead architecture, mentor engineers, and drive best practices across distributed teams.

The role emphasizes implementation of AI platforms, governance, and rigorous evaluation, with remote work within the United States and competitive salary. Collaboration across product and business units is key.

Qualifications

• 12+ years designing and delivering large-scale distributed systems.
• Proven success delivering production-grade AI and LLM-powered solutions.
• Deep expertise with Generative AI technologies including OpenAI models and prompt engineering.
• Hands-on experience with LangGraph, LangChain, AutoGen, or similar agent frameworks.
• Strong full-stack background with ReactJS and Node.js.
• Bachelor's, Master's, or PhD in Computer Science, Engineering, or related discipline, or equivalent experience.

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.
• Define AI platform architectures covering model routing, prompt lifecycle management, observability, experimentation, governance, and production deployment.
• Establish evaluation frameworks for AI solutions, including offline testing, regression analysis, trace diagnostics, and business outcome measurement.
• Lead end-to-end product delivery, from architecture and development through deployment and operational support.
• Drive engineering best practices focused on scalability, performance, reliability, security, and maintainability.
• Mentor engineering teams and foster a culture of innovation, technical excellence, and continuous learning.

Skills

LLMs

Agentic AI

Full-stack engineering

ReactJS

Node.js

Technical leadership

Architecture design

Distributed systems

Education

CS/Engineering degree (bachelor/master/phd)

Tools

LangGraph

LangChain

AutoGen

Temporal

OpenAI models

Job description

Cognizant is seeking a Gen AI Architect to design and deliver enterprise AI applications, leveraging LLMs, agentic AI frameworks, and scalable architectures. You will lead architecture, mentor engineers, and drive best practices across distributed teams.

The role emphasizes implementation of AI platforms, governance, and rigorous evaluation, with remote work within the United States and competitive salary. Collaboration across product and business units is key.