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Principal Software Engineering Lead â AI-Driven Development; Insurance

Job in Knoxville, Knox County, Tennessee, 37955, USA
Listing for: CGI Njoyn
Full Time position
Listed on 2026-05-23
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Principal Software Engineering Lead â AI-Driven Development (Insurance)

Job order - J - Permanent Full Time

Title Principal Software Engineering Lead – AI-Driven Development (Insurance)

Category Analytics and Emerging Digital Technologies

City Knoxville, Tennessee, United States

Job Description

CGI is a global IT and business consulting services firm delivering end‑to‑end services across consulting, systems integration, and managed services. We are seeking an experienced AI‑Augmented Engineering Lead to drive modern software delivery through the adoption of AI‑assisted development practices. This role blends deep technical leadership with hands‑on engineering and emerging AI tooling to improve developer productivity, code quality, and delivery speed.

You will play a critical role in transforming engineering practices into an AI‑first model while supporting complex insurance domain solutions.

This position serves as the onshore technical anchor within a global delivery model, leading offshore teams while also contributing to business development, pre‑sales activities, and client engagements. Preferred location is Knoxville, TN; however, candidates located near any CGI office will be considered. Eastern Time Zone working hours are required.

Responsibilities
  • Leverage AI coding assistants such as Git Hub Copilot and Gemini Code Assist to accelerate development, refactoring, and documentation
  • Optimize prompt engineering techniques and workflows to enhance AI‑generated code quality and team productivity
  • Integrate AI‑assisted development practices into daily engineering workflows and software delivery lifecycle
  • Serve as the onshore technical leader for architecture, design patterns, and enterprise integration solutions
  • Lead hands‑on development efforts using Java, RESTEasy, SOAP, and modern API frameworks
  • Conduct code reviews, design reviews, and technical walkthroughs to ensure scalability and maintainability
  • Drive performance optimization efforts including JVM tuning, profiling, and resolving bottlenecks
  • Coordinate closely with offshore teams to guide sprint execution, remove blockers, and enforce engineering standards
  • Support pre‑sales efforts through technical demos, solution design, and proposal development
  • Ensure end‑to‑end delivery aligns with performance, security, compliance, and insurance domain requirements
Required Qualifications
  • 7+ years of software engineering experience with at least 2+ years in a technical or team leadership role
  • 1+ years of experience implementing AI‑assisted development tools and workflows in enterprise environments
  • Strong proficiency in Java and REST API development using RESTEasy
  • Hands‑on experience with SOAP services, XML, schemas, and service contract design
  • Proven expertise in performance tuning and troubleshooting Java/JVM‑based applications
  • Experience working in hybrid environments including on‑premise systems and cloud platforms (AWS or Azure)
  • Strong knowledge of CI/CD tools, Git, Maven/Gradle, Jenkins, and automated testing frameworks
  • Solid understanding of relational databases and SQL (e.g., SQL Server, Postgre

    SQL)
  • Experience working within insurance domains such as policy administration, underwriting, or rating systems
  • Strong communication skills with the ability to engage clients, stakeholders, and distributed teams effectively
Desired Qualifications
  • Cloud certifications in AWS, Azure, or Google Cloud Platform
  • Experience with containerization technologies such as Docker and Kubernetes
  • Familiarity with caching technologies like Redis or Elasti Cache
  • Exposure to Python, R, or other data‑oriented programming languages
  • Experience with API gateways such as Apigee, Kong, or Mule Soft
  • Knowledge of microservices, event‑driven architectures, and messaging platforms like Kafka or RabbitMQ
Benefits
  • 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
Equal Opportunity Employment Statement

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national…

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