AI Project Leader

Responsibilities

Arcfield is seeking a dynamic, mission-focused engineer, AI Project Leader to direct projects aimed at AI/ML adoption to spearhead the optimization, and deployment of machine learning capabilities tailored for complex systems analysis. You’ll define development objectives, review change requests and architecture changes, and provide innovative recommendations on prioritization and the optimal courses of actions.

You will work seamlessly with other government and contractor team members in a challenging work environment. This individual will be a trusted advisor, guiding AI/ML strategy to ensure alignment with our customer's priorities while assessing industry approaches for cost-efficiency and technical viability. The candidate should be comfortable providing clear guidance and support to stakeholders.

Qualifications

Requires 5-7 years with BS/BA or 3-5 years with MS/MA, or 0-2 years with Ph.D. Clearance required: Must possess and be able to maintain a TS/SCI with Poly Bachelor’s degree in Systems Engineering or in related technical or scientific fields such as engineering, operations research, engineering management, or related STEM degree program.

Demonstrated ability to work well with other government and contractors in a challenging work environment. Desired Qualifications: Experience with AI-driven initiatives and cross-functional collaboration Experience driving the adoption of cloud-based AI solutions (AWS, Azure, or Google Cloud) for mission-critical applications Proven ability to assess, develop, and optimize AI models for real-time and large-scale data operations Ability to translate AI governing policies into actionable steps and plans for subordinate organizations.

Experience in Systems Engineering Technical Assistance (SETA), acquisition, and the Intelligence Community. Knowledge of GEOINT or SIGINT. Equal Pay Act This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.

In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

Min: $94,910.76 Max: $165,031.40 EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law. Arcfield is seeking a dynamic, mission-focused engineer, AI Project Leader to direct projects aimed at AI/ML adoption to spearhead the optimization, and deployment of machine learning capabilities tailored for complex systems analysis.

You’ll define development objectives, review change requests and architecture changes, and provide innovative recommendations on prioritization and the optimal courses of actions. You will work seamlessly with other government and contractor team members in a challenging work environment. This individual will be a trusted advisor, guiding AI/ML strategy to ensure alignment with our customer's priorities while assessing industry approaches for cost-efficiency and technical viability.

The candidate should be comfortable providing clear guidance and support to stakeholders. Required Qualifications: Requires 5-7 years with BS/BA or 3-5 years with MS/MA, or 0-2 years with Ph.D. Clearance required: Must possess and be able to maintain a TS/SCI with Poly Bachelor’s degree in Systems Engineering or in related technical or scientific fields such as engineering, operations research, engineering management, or related STEM degree program.

Demonstrated ability to work well with other government and contractors in a challenging work environment. Desired Qualifications: Experience with AI-driven initiatives and cross-functional collaboration Experience driving the adoption of cloud-based AI solutions (AWS, Azure, or Google Cloud) for mission-critical applications Proven ability to assess, develop, and optimize AI models for real-time and large-scale data operations Ability to translate AI governing policies into actionable steps and plans for subordinate organizations.

Experience in Systems Engineering Technical Assistance (SETA), acquisition, and the Intelligence Community. Knowledge of GEOINT or SIGINT.