Senior Gen AI Architect: Agentic AI & LLM (Remote)

Cognizant; Tallahassee (FL); Remote; USD 103,000 - 163,000; Full time

Job summary

Cognizant is seeking a Gen AI Architect to lead design and delivery of enterprise AI solutions. The role focuses on architecting scalable Generative AI applications using LLMs, agentic frameworks, and advanced orchestration across cross-functional teams.

You will guide strategy, establish standards, mentor engineers, and drive production-grade AI deployments while maintaining security and reliability in a remote, US-based setting.

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.
• Deep expertise with Generative AI technologies including OpenAI models, prompt engineering, vector databases, retrieval frameworks, and AI orchestration patterns.

Responsibilities

• Architect and design enterprise-scale Generative AI applications using LLMs, RAG, data integration, and automation.
• Build agentic AI solutions with LangGraph, LangChain, or similar frameworks for complex reasoning and memory management.
• Create scalable, fault-tolerant workflow orchestration using Temporal or comparable technologies.
• Define AI platform architectures covering model routing, prompt lifecycle management, observability, governance, and production deployment.

Skills

Distributed systems

Generative AI/LLM

Agentic AI

LangGraph

LangChain

AutoGen

ReactJS

Node.js

Mentoring

Technical leadership

Education

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

Tools

Temporal

OpenAI APIs

Job description

Cognizant is seeking a Gen AI Architect to lead design and delivery of enterprise AI solutions. The role focuses on architecting scalable Generative AI applications using LLMs, agentic frameworks, and advanced orchestration across cross-functional teams.

You will guide strategy, establish standards, mentor engineers, and drive production-grade AI deployments while maintaining security and reliability in a remote, US-based setting.