Remote Gen AI Architect - Agentic & LLM Leadership

Cognizant; Nashville (TN); Remote; USD 103,000 - 163,000; Full time

Job summary

Cognizant is seeking a Gen AI Architect (Agentic AI & LLM) to design and deliver enterprise-scale AI solutions. This remote role is open to qualified applicants in the United States, with flexibility on working arrangements and a focus on measurable business outcomes.

You will lead architecture and development of generative AI platforms, guide engineering teams, and drive best practices in scalability, security, and maintainability across projects.

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.
• Hands‑on experience with LangGraph, LangChain, AutoGen, or similar agent development frameworks.
• Strong full‑stack engineering background with expertise in ReactJS, Node.js, and modern application architecture.
• Demonstrated ability to define technical strategy, influence architecture decisions, and mentor engineering teams.
• Strong software engineering fundamentals, including system design, scalability, testing, performance optimization, and code quality practices.
• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related discipline, or equivalent practical 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

Distributed systems

AI/LLM production

Prompt engineering

OpenAI models

Agentic AI

Full-stack engineering

ReactJS

Node.js

Technical leadership

System design

Education

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

Tools

LangGraph

LangChain

AutoGen

Temporal

Job description

Cognizant is seeking a Gen AI Architect (Agentic AI & LLM) to design and deliver enterprise-scale AI solutions. This remote role is open to qualified applicants in the United States, with flexibility on working arrangements and a focus on measurable business outcomes.

You will lead architecture and development of generative AI platforms, guide engineering teams, and drive best practices in scalability, security, and maintainability across projects.