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

Category: Software Development/ Engineering

Main location: United States, Tennessee, Knoxville

Alternate Location(s): United States, Georgia, Atlanta
United States, North Carolina, Charlotte
United States, Texas, Dallas

Position ID:J0626-0468

Employment Type: Full Time

Position Description:

CGI is seeking a Senior AI-Augmented Software Engineer to join our growing engineering organization. This role is ideal for a hands-on software engineer who is passionate about leveraging AI-assisted development tools to accelerate software delivery, improve code quality, and enhance engineering productivity.

As part of our delivery teams, you will utilize technologies such as 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. You will work closely with distributed development teams, contribute to solution delivery efforts, and help drive adoption of AI-enabled development workflows across engineering organizations.

The ideal candidate brings strong Java engineering expertise, experience building enterprise integrations, and the ability to work effectively across hybrid on-premises and cloud environments. Experience within the insurance industry, including policy administration, rating, underwriting, payment integrity, or third-party data integrations, is highly valued.

This position is open to candidates located anywhere within the United States and may be performed remotely. Preference will be given to candidates located in or near Knoxville, Tennessee, or within commuting distance of a CGI office. Eastern Time Zone working hours are required.

Your future duties and 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

Required qualifications to be successful in this role:

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

Desired qualifications

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

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $80,600.00 - $172,400.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well-being programs

Skills:

• Artificial Intelligence
• Cloud Computing
• Insurance
• Java
• Performance Tuning
• RESTful (Rest-APIs)