Demo

Artificial Intelligence (AI) Integration Lead - IRES (ADV000B25)

GeoControl Systems
Colorado, CO Full Time
POSTED ON 12/30/2025
AVAILABLE BEFORE 1/27/2026
GeoControl Systems, Inc.as a HUBZone company, is required to maintain a Federally mandated level of employees that reside (home residence) in a qualified HUBZone. ONLY applicants whose home address lies in a qualified HUBZone will be considered for this position.

You can verify whether you reside in a HUBZone by using the following website:

https://maps.certify.sba.gov/hubzone/map

Description Of Duties

The Artificial Intelligence (AI) Integration Lead supports the Missile Defense Agency (MDA) on the Integrated Research

and Development for Enterprise Solutions (IRES) contract.

The AI Integration Lead will be responsible for overseeing the integration of AI technologies into cybersecurity processes,

systems and workflows.

This role involves collaborating with cross-functional teams to design and implement AI solutions that drive efficiency,

automation and innovation, ensuring seamless integration across enterprise and operational technology systems.

The candidate will face challenges such as integrating AI solutions with legacy systems, managing data migration,

ensuring consistent model performance, resolving compatibility issues, ensuring cybersecurity compliance, and managing

stakeholder expectations.

The Candidate Will

  • Identify and resolve quality issues across the data lifecycle paving the way for workflow automation and orchestration
  • Design and develop AI models and algorithms
  • Conduct data analysis to inform AI development and evaluate performance
  • Identify training data sets to support machine learning of AI systems
  • Collaborating with cross-functional teams to identify AI opportunities and ensure alignment with defensive cyberspace

operation objectives

  • Monitor and optimize AI system performance which includes conducting tests, troubleshooting issues, implementing

optimization strategies to ensure AI systems are accurate, reliable, and scalable

  • Develop and deliver training materials to upskill internal teams on AI tools and technologies
  • Stay updated on the latest advancements in AI to ensure practices remain cutting-edge

The Successful Candidate Will

  • Be able to troubleshoot complex technical problems, interpret data, and identify areas for improvement
  • Have excellent/effective communication with both technical and non-technical stakeholders, and the ability to work

effectively in cross-functional teams

  • Be adaptability and continuously learning
  • The AI field is constantly evolving, requiring specialists to stay up to date with new technologies and approaches

Resumes, in month and year format, must be submitted with application in order to be considered for the position. The

selected candidate may be assigned as an employee for one of our teammate companies.

Requirements

Basic Requirements:

  • Must have advanced/formal education in a relevant field such as Computer Science, Information Systems, or Data

Science

  • Must have 10, or more, years of general (full-time) work experience
  • Must have 6, or more, years of directly related experience in AI and/or Data Science
  • Must have a strong understanding of machine learning workflows (data sampling, preprocessing, model training,

evaluation, deployment, and optimization).

  • Must have experience with data analysis tools and techniques, including data visualization and reporting tools like

Tableau or Power BI

  • Must be proficient in programming languages like Python, R, and Java, familiarity with machine learning algorithms and

frameworks, and experience with data analysis and cloud platforms

  • Must be able to maintain a restricted badge and work on site 4 days per week
  • Must have, or obtain within 3 months of start date, a current IAT Level II Certification (Security CE)
  • Must have, or obtain, an active DoD Secret Clearance

Desired Requirements

  • Have a familiarity with the MDA and MDS programs
  • Have a familiarity with model-based engineering tools and techniques

This position is expected to pay $120,000 - $140,000 annually; depending on experience, education, and any certifications

that are directly related to the position.

This position will be posted for a minimum of 3 days. If a candidate has not been selected at that time, it will continue to be

posted until a suitable candidate is selected or the position is closed.

Our health and welfare benefits are designed to invest in you, and in the things that you care about. Your health. Your wellbeing.

Your security. Your future. Typical benefits offered include flexible work schedules, educational reimbursement,

retirement benefits (401K match), employee stock purchase plan, health benefits, tax saving options, disability benefits,

life and accident insurance, voluntary benefits, paid time off and paid holidays, and parental leave.

Benefits

GCS health and welfare benefits are designed to invest in you, and in the things you care about. Your health. Your well-being. Your security. Your future. Typical benefits offered include flexible work schedules and opportunities to work remotely, educational reimbursement, retirement benefits (401K, Roth), health benefits, tax saving options, disability benefits, life and accident insurance, voluntary benefits, paid time off and paid holidays, and parental and pregnancy leave.

Salary : $120,000 - $140,000

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