AI Architect

Cognizant; Boise (ID); Remote; USD 103,000 - 163,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan and contributions

Disability insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an AI Architect to lead the architecture, development, and scaling of autonomous multi-agent AI systems. You will collaborate with engineering, DevOps, product, and healthcare teams to deliver intelligent, goal-oriented agents that support the end-to-end software development lifecycle.

Responsibilities include building scalable microservices with Java/Spring Boot, React frontends with TypeScript, and secure integration with Claude APIs to enable AI-powered workflows.

Qualifications

• 10+ years of software engineering and full-stack development.
• Hands-on experience designing production-grade LLM or multi-agent systems.
• Strong full-stack skills: Java, Spring Boot, React, TypeScript.
• Experience integrating AI features with enterprise systems and secure, scalable workflows.

Responsibilities

• Architect and scale multi-agent AI systems using Agentic AI and Claude APIs.
• Build responsive interfaces with React and TypeScript.
• Develop scalable Java microservices and REST APIs.
• Ensure secure integration with Claude APIs and AI-powered workflows.
• Lead testing, code reviews, and CI/CD pipelines.
• Establish engineering standards for security, data privacy, and performance.

Skills

Agentic AI

Claude

LangGraph

LangChain

Azure

Java

Spring Boot

React

TypeScript

Microservices

REST APIs

CI/CD

GitHub Copilot

Security & Data Privacy

Leadership

Tools

Claude Code

GitHub Copilot

LangGraph

LangChain

Azure

Job description

As an AI Architect, you will make an impact by leading the architecture, development, and scaling of production-grade autonomous multi-agent AI systems. You will provide technical leadership and help shape the strategic roadmap for enterprise AI initiatives.

You will collaborate with engineering, DevOps, product, and healthcare domain teams to develop intelligent, goal-oriented agents that support the end-to-end software development lifecycle, including requirements gathering, application scaffolding, coding, testing, code reviews, and CI/CD operations.

In this role, you will:

• Architect and develop scalable multi-agent AI systems using Agentic AI, Claude, retrieval-augmented generation, LangGraph, LangChain, and Azure.
• Design and build responsive, high-performance user interfaces using React, TypeScript, and modern state-management libraries.
• Develop scalable enterprise microservices, REST APIs, and business logic using Java and Spring Boot.
• Integrate Java backend services and React applications securely with Claude APIs to deliver intelligent, LLM-powered features and automated workflows.
• Use Claude Code, GitHub Copilot, and AI-assisted engineering workflows to accelerate prototyping, multi-file refactoring, test-driven development, code reviews, and defect remediation.
• Optimize end-to-end performance and data flow across React applications, Java services, and cloud-hosted LLM endpoints.
• Implement comprehensive frontend and backend automated testing using tools such as Jest, React Testing Library, and JUnit.
• Establish secure coding, data privacy, architectural quality, and scalable engineering standards throughout the application lifecycle.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants anywhere in the United States, with a preference for candidates located in or near Los Angeles, California. Candidates must be available to work primarily during Pacific Time business hours.

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you are engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered

• 10+ years of experience in software engineering, full-stack application development, DevOps, or related engineering disciplines.
• At least one year of hands-on experience designing and building production-grade LLM, Agentic AI, or multi-agent solutions.
• Strong full-stack development experience with Java, Spring Boot, React, TypeScript, microservices, and REST APIs.
• Hands-on experience with Agentic AI frameworks and technologies such as Claude, Claude Code, retrieval-augmented generation, LangGraph, LangChain, and Azure.
• Experience integrating enterprise applications with LLM APIs and implementing secure, scalable AI-powered workflows.
• Strong understanding of automated testing, CI/CD, DevOps practices, application security, data privacy, and production architecture.
• Experience providing technical leadership and translating enterprise objectives into scalable AI architecture and engineering roadmaps.
• Availability to collaborate with project teams during Pacific Time business hours.

These will help you stand out

• Experience using GitHub Copilot or similar AI-assisted software engineering tools.
• Experience developing autonomous agents that support coding, testing, code review, deployment, and other software development lifecycle activities.
• Knowledge of healthcare technology platforms, healthcare business processes, and claims adjudication.
• Experience optimizing performance across React frontends, Java microservices, and cloud-based LLM platforms.
• Experience driving enterprise adoption of Generative AI, Agentic AI, and AI-assisted engineering practices.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation:

Applications will be accepted until 10/23/2025.

The annual salary for this position is between $102,600 – $162,500 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits:

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• 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

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.