AI-Augmented Software Engineer (Remote U.S. – Preferred Knoxville, TN)

CGI•Knoxville, TN

7d•Remote

About The Position

CGI is seeking a Senior AI-Augmented Software Engineer to join their engineering organization. This role is for a hands-on software engineer passionate about leveraging AI-assisted development tools to accelerate software delivery, improve code quality, and enhance engineering productivity. The engineer will utilize technologies like GitHub Copilot, Gemini Code Assist, and cloud-based AI development tools to support modern software engineering practices while developing enterprise-grade applications, APIs, and integrations. The role involves working closely with distributed development teams, contributing to solution delivery, and driving the adoption of AI-enabled development workflows. The ideal candidate has strong Java engineering expertise, experience building enterprise integrations, and can work effectively across hybrid on-premises and cloud environments. Experience in the insurance industry is highly valued. This position is open to candidates nationwide and may be performed remotely, with a preference for candidates near Knoxville, Tennessee, or within commuting distance of a CGI office. Eastern Time Zone working hours are required.

Requirements

5+ years of hands-on software engineering experience
Strong proficiency in Java and development of enterprise applications and REST APIs
Experience with RESTEasy, Spring Boot, JAX-RS, or similar API frameworks
Experience developing and supporting SOAP services, XML schemas, and service contracts
Strong troubleshooting and performance tuning skills within Java/JVM-based environments
Experience working within both cloud and on-premises environments using AWS, Azure, or similar platforms
Familiarity with Git, Maven, Gradle, Jenkins, CI/CD pipelines, and automated testing frameworks
Experience working with relational databases and SQL fundamentals including SQL Server, PostgreSQL, or similar technologies
Strong communication skills and experience collaborating within distributed Agile teams
Ability to participate effectively in client-facing technical discussions and solution delivery activities

Nice To Haves

Experience utilizing GitHub Copilot, Gemini Code Assist, or similar AI-assisted development tools
AWS, Microsoft Azure, or Google Cloud certifications
Experience with Docker, Kubernetes, and containerized deployment strategies
Familiarity with caching technologies such as Redis or Amazon ElastiCache
Experience with Python, R, or other scripting and automation languages
Knowledge of API management platforms including Apigee, Kong, MuleSoft, or Azure API Management
Experience with microservices architectures, event-driven systems, and messaging platforms such as Kafka, RabbitMQ, or JMS
Insurance, policy administration, underwriting, rating, claims, or payment integrity industry experience
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience

Responsibilities

Leverage AI-assisted development tools including GitHub Copilot, Gemini Code Assist, and cloud-based AI platforms to accelerate software delivery
Apply effective prompting techniques and AI engineering workflows to improve development efficiency and code quality
Design, develop, test, and maintain enterprise-grade Java applications and services
Build and support RESTful APIs, SOAP services, and system integrations across internal and third-party platforms
Troubleshoot, optimize, and enhance performance of Java/JVM-based applications in production environments
Contribute to AI-enabled software engineering practices and support adoption across delivery teams
Participate in CI/CD automation initiatives, testing strategies, and deployment reliability improvements
Collaborate with distributed and offshore development teams within Agile delivery environments
Participate in sprint planning, backlog refinement, code reviews, and technical design discussions
Support solution delivery activities, client engagements, demonstrations, and technical workshops as needed