Remote Gen AI Architect — Agentic AI & LLM Lead

Cognizant; Lansing (MI); Remote; USD 103,000 - 163,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

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, leading architecture, and coordinating across engineering, product, and business teams from a remote US location.

You will lead the implementation of Generative AI solutions, agentic AI frameworks, and scalable distributed systems, with a focus on governance, observability, and production readiness. Strong leadership and hands‑on expertise are required.

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

Generative AI

LLMs

Agentic AI

LangGraph

LangChain

AutoGen

Temporal

Full-stack engineering

ReactJS

Node.js

Education

Bachelor’s, Master’s, or PhD in Computer Science or Engineering

Tools

LangGraph

LangChain

AutoGen

Temporal

ReactJS

Node.js

Job description

Cognizant is seeking a Gen AI Architect to design and deliver enterprise AI applications, leading architecture, and coordinating across engineering, product, and business teams from a remote US location.

You will lead the implementation of Generative AI solutions, agentic AI frameworks, and scalable distributed systems, with a focus on governance, observability, and production readiness. Strong leadership and hands‑on expertise are required.