G2IT

Technology

LeadSoftware&AIEngineer

$185–200k San Diego, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Software & AI Engineer at G2IT. Skills: Software Engineering, AI/ML, DevSecOps, Cloud-native development. Lead design, development, integration, deployment. Architect AI/ML and LLM capabilities”

Industry & Context.

Technology
Problems you'll solve

Analytical; Problem-solving

Eligibility Requirements

Active Top Secret/SCI clearance, TS/SCI eligibility, Tier 5 investigation

What They're Looking For.

Must Have

Minimum five (5) years microservices experience, Minimum five (5) years containerized applications experience, Demonstrated experience developing, integrating, or deploying ML/AI/LLMs, DoD 8140/8570 IAT Level II certification, Intermediate proficiency baseline certification for CSWF approval, Understanding of secure software development practices, Understanding of DevSecOps methodologies, Active Top Secret/SCI clearance

Nice to Have

Familiarity with modern AI frameworks, Familiarity with model deployment, Familiarity with inference pipelines, Familiarity with RAG architectures, Experience supporting Department of Defense programs, Experience supporting Intelligence Community programs, Experience supporting federal government programs, Experience implementing AI/ML in classified environments, Experience implementing AI/ML in secure environments, AWS certifications, Azure certifications, Kubernetes certifications, OpenShift certifications, Terraform certifications, DevOps certifications, Experience leading software development teams, Experience leading technical modernization initiatives

What You'll Do.

Architect AI/ML and LLM capabilities

Implement AI/ML and LLM capabilities

Design scalable microservices

Develop scalable microservices

Collaborate with stakeholders

Define technical requirements

Deliver innovative solutions

Provide technical leadership

Support system modernization

Ensure maintainability

How You'll Work.

Team & Collaboration

Government and contractor stakeholders; Development and engineering teams; Agile development teams

Communication Scope

Communication

Process & Methodology

Agile, Jira

Full 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

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