AI Solutions Engineer - Clearance Required
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Skills
About the role
Overview
The AI Solutions Engineer will serve as an embedded technical accelerator, working to accelerate government software delivery through digital transformation. This operational role will provide dedicated strategic product support to make everyday workflows efficient and sustainable. Operating across a four-part delivery model, "Develops, Enables, Supports, Advises", the engineer will bridge the gap between enterprise technology investments and daily staff routines, turning centrally funded capabilities into tangible workforce productivity.
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
Support adoption of approved enterprise AI platforms, including GenAI.mil, AskSage, Shareable AI Agents, and Army Vantage.
Identify opportunities to streamline acquisition workflows, reporting, task management, and administrative processes through AI and automation.
Design, prototype, and deploy low-code automations, AI-assisted workflows, and reusable solutions.
Develop mission-specific prompt libraries, AI agents, standard operating procedures, and quick-reference guides.
Provide hands-on coaching, workshops, and training to Government personnel on effective AI tool utilization.
Maintain a repository of reusable prompts, scripts, and automation templates to support command-wide adoption.
Assess technical feasibility, data requirements, and security considerations for proposed AI solutions.
Track adoption, productivity improvements, and labor hours saved; prepare executive dashboards and briefings.
Collaborate with government stakeholders and enterprise technology teams to align solutions with operational requirements and security standards.
Qualifications
Required Qualifications
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, business analytics, or related discipline.
- 2–5 years of experience in data science, analytics, or a closely related field.
Practical expertise with large language models (LLMs), prompt engineering, and enterprise AI tools.
Proficiency with low-code/no-code automation platforms and basic data integration.
Ability to translate operational requirements into practical AI-enabled workflows and solutions.
Strong analytical, problem-solving, communication, and stakeholder engagement skills.
Understanding of responsible AI practices, data security, and secure information handling.
- Active SECRET clearance; please note, only US Citizens can obtain a clearance.
Desired Qualifications
Experience supporting DoD, Army acquisition, or federal enterprise technology initiatives.
Familiarity with GenAI.mil, AskSage, Army Vantage, or comparable Government AI platforms.
Experience with Microsoft Power Automate, Power Apps, Power BI, or similar tools.
Working knowledge of Python, SQL, APIs, or scripting for workflow automation.
Experience developing AI agents, automated reporting solutions, or reusable prompt libraries.
Familiarity with defense acquisition workflows, AI governance, and enterprise data management.
- Experience developing user training materials, delivering technical guidance, and supporting technology adoption.
Target salary range: $120,000 - $150,000
Disclaimer:
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.