Remote Gen AI Architect: Agentic AI & LLM Lead

Cognizant; Richmond (VA); 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 hiring a Gen AI Architect (Agentic AI & LLM) to design and deliver enterprise AI-powered applications. You will lead architecture, mentor engineers, and drive scalable AI solutions across teams in a remote US setting.

Expect to work with LangGraph, LangChain, AutoGen, and Temporal, implementing complex AI workflows, governance, and production deployments. A strong background in full-stack development with ReactJS and Node.js is preferred.

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, automation, or conversational AI.
• 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 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 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

Agentic AI

LLMs

LangGraph

LangChain

AutoGen

ReactJS

Node.js

Full-stack software engineering

System design

Mentoring engineers

Education

Bachelor's, Master's or PhD in Computer Science/Engineering

Tools

Temporal

Job description

Cognizant is hiring a Gen AI Architect (Agentic AI & LLM) to design and deliver enterprise AI-powered applications. You will lead architecture, mentor engineers, and drive scalable AI solutions across teams in a remote US setting.

Expect to work with LangGraph, LangChain, AutoGen, and Temporal, implementing complex AI workflows, governance, and production deployments. A strong background in full-stack development with ReactJS and Node.js is preferred.