Remote Gen AI Architect: Enterprise-Scale LLMs

Cognizant; Montgomery (AL); Remote; USD 103,000 - 163,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus 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 (Remote) to design and deliver enterprise Generative AI solutions, leveraging LLMs, agentic AI, and distributed systems. You will lead architecture, set standards, and mentor engineers across product and engineering teams.

The role requires deep expertise in Generative AI, LangGraph/LangChain, and strong full-stack capabilities (ReactJS, Node.js). A remote US position with competitive compensation awaits a seasoned architect.

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

Agentic AI

LLMs

LangGraph

LangChain

AutoGen

ReactJS

Node.js

Distributed systems

Full-stack engineering

Education

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

Tools

Temporal

LangGraph

LangChain

AutoGen

Job description

Cognizant is seeking a Gen AI Architect (Remote) to design and deliver enterprise Generative AI solutions, leveraging LLMs, agentic AI, and distributed systems. You will lead architecture, set standards, and mentor engineers across product and engineering teams.

The role requires deep expertise in Generative AI, LangGraph/LangChain, and strong full-stack capabilities (ReactJS, Node.js). A remote US position with competitive compensation awaits a seasoned architect.