Artificial Intelligence Lead

LMI Consulting, LLC; United States; On-site; USD 148,301 - 255,653; Full time

Job summary

LMI Consulting, LLC is seeking an experienced Artificial Intelligence (AI) Lead to support the General Services Administration in implementing advanced AI capabilities. This role involves defining the AI technical strategy, leading the deployment of scalable AI models, and ensuring compliance with federal standards. The ideal candidate has extensive AI/ML expertise and experience in federal governance. The position is mostly remote with travel to Washington, D.C. as necessary.

Qualifications

• Demonstrated experience as an AI Lead on complex programs.
• Strong knowledge of AI, ML, deep learning, and data science.
• Proven track record of deploying AI/ML solutions.

Responsibilities

• Define and oversee the technical approach for AI integration.
• Lead deployment of scalable AI/ML models.
• Align AI implementations with federal IT standards.

Skills

AI/ML expertise

Production-level deployment

Federal governance knowledge

Team leadership

Cloud-based environment experience

Education

Master's or Ph.D. in related field

Tools

AWS

CI/CD pipelines

Job description

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. The 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.

Responsibilities

AI Strategy & Technical Leadership

• 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 of 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 U.S. 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.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to its policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.