Remote AI Architect for Enterprise Multi-Agent Systems

Cognizant; Juneau (AK); Remote; USD 103,000 - 163,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AI Architect to lead the design, development, and scaling of production‑grade autonomous multi‑agent AI systems. You will collaborate with engineering, DevOps, product, and healthcare teams to deliver intelligent, goal‑oriented agents supporting the full software lifecycle.

Ideal candidates have 10+ years in software engineering, strong Java/Spring Boot/React skills, and hands‑on experience with Agentic AI and LLM APIs like Claude.

Qualifications

• 10+ years of software engineering and full‑stack development experience.
• Hands‑on with designing and building production‑grade multi‑agent or AI systems.
• Strong Java, Spring Boot, React, TypeScript, microservices, and REST APIs experience.
• Experience with Agentic AI frameworks and LLM integrations (Claude, Claude Code).
• Ability to translate enterprise goals into scalable AI architecture roadmaps.
• Knowledge of secure, scalable AI workflows and CI/CD practices.

Responsibilities

• Architect and lead scalable multi‑agent AI systems and workflows.
• Collaborate across engineering, DevOps, product, and healthcare teams.
• Develop responsive UIs with React/TypeScript and robust backends with Java/Spring Boot.
• Integrate backend services and React apps with Claude APIs securely.
• Drive AI engineering practices: testing, code reviews, and defect remediation.

Skills

Full-stack development

Java

Spring Boot

React

TypeScript

Microservices

REST APIs

CI/CD

DevOps practices

Technical leadership

Architectural design

Tools

Claude

Claude Code

LangGraph

LangChain

Azure

GitHub Copilot

Jest

React Testing Library

JUnit

Job description

Cognizant is seeking an AI Architect to lead the design, development, and scaling of production‑grade autonomous multi‑agent AI systems. You will collaborate with engineering, DevOps, product, and healthcare teams to deliver intelligent, goal‑oriented agents supporting the full software lifecycle.

Ideal candidates have 10+ years in software engineering, strong Java/Spring Boot/React skills, and hands‑on experience with Agentic AI and LLM APIs like Claude.