Artificial Intelligence Lead
Overview
LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General Services Administration (GSA) in delivering advanced AI-enabled capabilities within a modern, web-based acquisitions system. This initiative modernizes Governmentwide Indefinite Delivery Vehicle (IDV) contracting through modular, cloud-based services that improve efficiency, automation, and decision support across the acquisition lifecycle.
The AI Lead will serve as the senior authority responsible for defining and implementing the AI technical approach across the program. This individual must possess deep, hands-on expertise in integrating and orchestrating multiple AI agents into a cohesive, autonomous ecosystem and ensure the development team consistently follows that approach. AI capabilities are designed to provide decision support and transparency while preserving human oversight and contracting officer judgment.
The ideal candidate combines advanced AI/ML expertise, production-level deployment experience, federal governance knowledge, and the ability to lead cross-functional teams in secure, cloud-based environments.
This position is anticipated to be majority remote, but with the ability to travel and visit the client’s offices in Washington, D.C. as frequently as needed.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
AI Strategy & Technical Leadership
- Serve as the primary authority for AI architecture, research, and implementation
- Define and oversee the technical approach for integrating and orchestrating multiple AI agents into a unified ecosystem
- Align AI initiatives with program objectives and GSA modernization goals
- Evaluate emerging AI technologies and guide their responsible application
Applied AI Delivery & Machine Learning Operations
- Lead design, development, and deployment of scalable AI/ML models into production environments
- Implement and manage MLOps practices, including model versioning, monitoring, validation, and lifecycle management
- Integrate model development and deployment workflows into CI/CD pipelines
- Ensure AI solutions are reliable, performant, and maintainable within enterprise cloud environments
Federal AI Governance & Compliance
- Align AI implementations with federal IT standards and agency governance requirements
- Incorporate guidance from the NIST AI Risk Management Framework (AI RMF) and related cybersecurity standards.
- Support security documentation and controls required for the Authorization to Operate (ATO) process for cloud-based systems
- Champion ethical, transparent, and compliant use of AI and data across the program
- Ensure data provenance, model transparency, explainability, and auditability to support trust and oversight.
Cloud & DevSecOps Integration
- Deploy and manage AI workloads within secure AWS cloud environments
- Integrate security controls across the AI lifecycle consistent with DevSecOps principles
- Ensure AI components adhere to secure coding standards, access controls, and cloud security best practices
- Collaborate with team leadership to maintain compliance and audit readiness
Team & Stakeholder Collaboration
- Lead and mentor the team as needed
- Manage complex AI initiatives across multidisciplinary teams
- Communicate AI concepts, risks, and tradeoffs clearly to technical and non-technical stakeholders
- Foster a culture of innovation, experimentation, and responsible AI adoption
Qualifications
Required Qualifications
- Demonstrated experience serving as an AI Lead (or equivalent role) on complex enterprise or federal technology programs
- Advanced knowledge of AI, machine learning, deep learning, and data science concepts (Master’s or Ph.D. strongly preferred)
- Proven track record designing, developing, and deploying AI/ML solutions into production environments
- Experience implementing MLOps practices and integrating model deployment into CI/CD pipelines
- Experience deploying and managing AI workloads within AWS cloud environments
- Strong understanding of federal IT standards, AI governance, and ATO-related security requirements
- Excellent written and verbal communication skills
Desired Qualifications
- Experience supporting GSA or other federal AI modernization initiatives
- Familiarity with multi-agent AI architectures and autonomous workflow orchestration
- Relevant certifications in cloud, AI/ML, or security disciplines
- Experience implementing AI solutions in highly regulated or compliance-driven environments
The target salary range for this position is $148,301-$255,653.
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.