GovCIO is currently hiring for AI/ML Engineer develops and integrates advanced machine learning and large language model systems to support defense simulation, data fusion, and autonomous decision-support capabilities. This role builds scalable AI pipelines and agent-based frameworks that enable secure, intelligent, and interoperable mission environments.. This position will be located in Colorado Springs, CO and will be a onsite position.
ResponsibilitiesResponsible for designing and implementing advanced artificial intelligence and machine learning solutions that support complex defense simulation and data integration environments. This role focuses on building scalable AI architectures, integrating heterogeneous data sources, and enabling autonomous and agent-based systems within secure, sandboxed platforms to support mission-driven analysis and decision-making.
- Develop and maintain automated data pipelines to ingest, parse, and integrate non-standard defense data, intelligence feeds, and weapon system profiles.
- Design, implement, and fine-tune large language models (LLMs) and agentic AI frameworks using modern programming languages such as Python and C++.
- Build and manage APIs and integration layers to connect disparate AI/ML services into unified simulation and analysis environments.
- Support the development of autonomous and semi-autonomous agent systems for decision support and simulation use cases.
- Advise on the architecture and implementation of secure sandboxed environments for testing, validation, and deployment of AI solutions.
- Collaborate with government and technical stakeholders to ensure AI systems meet operational, security, and performance requirements.
QualificationsBachelor's with 12+ years (or commensurate experience)
Required Skills and Experience
- Clearance Required: None
- Demonstrated ability to design and implement automated data pipelines for complex, heterogeneous defense or intelligence datasets.
- Experience developing and fine-tuning large language models (LLMs) and building agent-based AI systems.
- Proficiency in programming languages such as Python and C++ for AI/ML development and system integration.
- Experience designing and implementing APIs for integration of AI/ML services and distributed systems.
- Knowledge of secure system design, including sandboxed environments for testing and validation of AI solutions.
- Bachelor's degree in computer science or closely related field with a focus on artificial intelligence, machine learning, or software engineering.
Preferred Skills and Experience
- Experience working in defense, intelligence, or government environments.
- Background in autonomous systems, reinforcement learning, or multi-agent systems.
- Experience integrating AI/ML models into simulation, wargaming, or Modeling & Simulation (M&S) environments.
- Familiarity with MLOps practices, model deployment, and scalable cloud-based AI infrastructure.
- Experience handling structured and unstructured data at scale in mission-critical environments.
- Strong understanding of AI safety, model evaluation, and validation in constrained or classified systems.
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Posted Salary RangeUSD $175,000.00 - USD $220,000.00 /Yr.
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