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# Senior Software Engineer (AI Development Enablement Lead)

- **Company:** CGI Technologies and Solutions, Inc.
- **Location:** Baltimore, MD, United States
- **Experience:** Expert
- **Salary:** $89,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Configuration Management, Static Program Analysis, Code Generation, Programming Tools, Github, Mobile Application Software, Machine Learning, Systems Development Life Cycle, Azure Machine Learning, Software Engineering, Software Licensing, Cloud Platform System, GitHub Copilot, Information Technology, Optimization Algorithms, Performance Monitor, Code Restructuring, Network Server, Programming Languages
- **Published:** August 16, 2026
- **Apply:** https://www.baltimorejobsite.com/job.asp?id=3356004683&tx=FL131FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Ability to obtain and maintain US Public Trust Clearance

. Bachelor's degree + 7 years IT experience

. Senior level software engineering with demonstrated expertise across the full SDLC and Hands on daily experience using AI coding assistants and AI development tools (e.g., Amazon Q Developer, GitHub Copilot, Claude Code, Gemini Code Assist).

. Experience supporting AI supporting infrastructure (servers, networks, storage, cloud). Familiarity with AI/ML platforms, licensing frameworks, and configuration management.

. Experience producing technical documentation and adhering to governance frameworks.

Desired qualifications/non essential skills required:

. Prior experience supporting federal agencies and understanding of FedRAMP and implementing AI COTS products in government environments.

. Experience in regulated environments with strict documentation discipline.

. Familiarity with AI/ML operational pipelines and lifecycle management., * Artificial Intelligence

 * Business Process Documentation
 * GitHub
 * Machine Learning
 * Mobile Software Engineering

## Description

CGI Federal is seeking an experienced Senior Software Engineer with deep expertise across the full software development lifecycle (SDLC) and proven hands on experience using AI assisted development tools in day to day engineering work. This position plays a critical role in modernizing SSA's development ecosystem by teaching, guiding, and enabling SSA software developers to adopt AI coding assistants and AI powered development workflows.

Building on SSA's enterprise AI initiatives, this role ensures effective deployment, operation, maintenance, and governance of AI technology platforms. The engineer will support AI assisted development across programming languages, frameworks, and environments while providing infrastructure support, developer enablement, documentation, and governance aligned guidance.

Note this position is onsite 5 days a week at the customer site in Woodlawn, MD

Your future duties and responsibilities:

Software Engineering Leadership & AI Development Enablement

. Provide hands on mentorship to SSA software developers, demonstrating how to use AI coding assistants and AI development tools within real SSA workflows.

. Teach best practices for integrating AI assisted development into each phase of the SDLC (requirements, design, coding, testing, deployment, maintenance).

. Lead modernization efforts by helping developers adopt AI assisted patterns for code generation, refactoring, testing, documentation, and troubleshooting.

. Evaluate SSA applications and recommend opportunities to embed AI development tools for improved productivity, maintainability, and quality.

. Stay current with AI development frameworks, tools, methodologies, and industry advancements.

o Hands on experience with modern AI coding tools such as: GitHub Copilot, Amazon Q Developer, Claude Code, Gemini Code Assist (Experience can be in any of these or similar tools but must include daily active usage.)

AI Software Licensing & Infrastructure Support

. Manage procurement, licensing, configuration, maintenance, and performance monitoring of AI related tools and software. Support server, storage, network, and cloud environments required for AI workloads. Recommend scaling strategies as AI adoption grows.

End User Support, Training & Documentation for AI Tools

. Develop and deliver training materials, workshops, and instructional guides for SSA developers adopting AI assisted development.

SDLC Support & Engineering Quality Assurance

. Help SSA teams incorporate AI assisted testing, AI supported code analysis, automated documentation, and AI driven optimization techniques.

Governance, Compliance & Reporting

. Support creation and maintenance of governance frameworks aligned with SSA policies and federal regulations.


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