Lead Software & AI Engineer

Job description

**Lead Software & AI Engineer** **Position Overview** G2IT is seeking a highly skilled Lead Software & AI Engineer to support mission-critical Department of Defense initiatives. The ideal candidate will possess extensive experience in software engineering, cloud-native application development, DevSecOps, and Artificial Intelligence/Machine Learning (AI/ML) integration within operational environments. This position requires a technical leader capable of designing, developing, and deploying advanced software solutions while integrating Machine Learning, Artificial Intelligence, and Large Language Models (LLMs) into secure enterprise and mission systems. **Security Clearance Requirements** - Active Top Secret/SCI clearance or TS/SCI eligibility with a completed Tier 5 investigation at the time of submission. **Required Qualifications** - Minimum five (5) years of hands-on experience developing and supporting microservices-based architectures. - Minimum five (5) years of experience with containerized applications and Kubernetes-based environments. - Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial Intelligence (AI), and/or Large Language Models (LLMs) within operational systems. - DoD 8140/8570 IAT Level II certification and/or intermediate proficiency baseline certification for Cyber Workforce Framework (CSWF) approval, such as: - Security+ CE - CySA+ - Equivalent approved certification - Strong understanding of secure software development practices and DevSecOps methodologies. - Excellent analytical, problem-solving, communication, and leadership skills. **Key Responsibilities** - Lead the design, development, integration, and deployment of cloud-native software solutions supporting mission-critical operations. - Architect and implement AI/ML and LLM-enabled capabilities within enterprise and operational systems. - Design and develop scalable microservices and APIs using modern software engineering practices. - Collaborate with government and contractor stakeholders to define technical requirements and deliver innovative solutions. - Provide technical leadership, mentorship, and guidance to development and engineering teams. - Support system modernization efforts through automation, cloud adoption, and DevSecOps best practices. - Ensure security, scalability, reliability, and maintainability across all software solutions. **Technical Requirements** **Artificial Intelligence & Machine Learning** - Experience developing, integrating, and operationalizing: - Machine Learning models - Artificial Intelligence solutions - Large Language Models (LLMs) - AI-enabled workflows and applications - Familiarity with modern AI frameworks, model deployment, inference pipelines, and retrieval-augmented generation (RAG) architectures is highly desirable. **Containerization & Orchestration** - Experience implementing and managing containerized applications using: - Docker - Podman - Buildah - Experience designing and maintaining orchestration platforms utilizing: - Kubernetes - OpenShift - Helm **DevSecOps & CI/CD** - Experience developing and optimizing CI/CD pipelines using: - GitLab - Jenkins - AWS CodeBuild - Strong understanding of automated testing, deployment, and release management processes. **Infrastructure as Code & Automation** - Experience automating infrastructure provisioning and configuration management using: - Terraform - Ansible - AWS CloudFormation - Experience implementing repeatable and scalable infrastructure solutions. **Linux Systems Administration** - Experience administering and supporting Linux-based environments including: - Red Hat Enterprise Linux (RHEL) - CentOS - Ubuntu **Scripting & Automation** - Experience creating automation tools and operational scripts using: - Bash - Python - PowerShell **Cloud Platforms** - Experience designing, deploying, and maintaining applications and infrastructure within: - Amazon Web Services (AWS) - Microsoft Azure **Software Development** - Experience developing full-stack applications utilizing: - Java - Python - TypeScript - React - SQL **Agile & Collaboration Tools** - Experience supporting Agile development teams using: - Jira - Confluence - Bitbucket - Experience with source code control, documentation, and project management best practices. **Preferred Qualifications** - Experience supporting Department of Defense, Intelligence Community, or federal government programs. - Experience implementing AI/ML capabilities in classified or secure environments. - Cloud certifications (AWS, Azure). - Kubernetes, OpenShift, Terraform, or DevSecOps certifications. - Experience leading software development teams and technical modernization initiatives. *Salary: $200- 225k depending on experience*