Enterprise Tool and Analytics Developer; AI​/ML Focus

Position: Enterprise Tool Application and Analytics Developer (AI/ML Focus)

Overview

Enterprise Tool Application and Analytics Developer (AI/ML Focus)

Huntsville, AL

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!

The Enterprise Tool Application and Analytics Developer (AI/ML Focus) supports mission readiness by developing, integrating, and operationalizing data-driven applications and AI/ML-enabled analytics capabilities across Army enterprise tools, including but not limited to Army Vantage and Gabriel Nimbus. This role is a hands-on development position operating within an Agile environment, responsible for end to end solutioning to include building data pipelines, applications, and integrating AI/ML model use, and ensuring those capabilities are integrated into enterprise platforms to support Title 10 mission requirements.

Responsibilities

• Develop, utilize and deploy AI/ML models in appropriate environments (e.g., cloud platforms, data science environments) to support predictive and prescriptive analytics.
• Build and maintain data pipelines (ETL/ELT) to support model training, data processing, and analytics applications.
• Integrate AI/ML outputs into enterprise platforms and developed applications, including Army Vantage and Gaberiel Nimbus, to support operational decision-making.
• Develop and maintain data models, analytics products, dashboards, and workflows within Vantage.
• Translate mission requirements into technical solutions, including applications, data pipelines, and AI/ML use cases.
• Participate in Agile development activities, including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
• Develop user stories, technical tasks, and acceptance criteria aligned to mission priorities.
• Ensure data quality, integrity, and accessibility across enterprise systems and platforms.
• Develop and support API integrations and data services across enterprise environments.
• Collaborate with product owners, data engineers, and mission stakeholders to align solutions with operational workflows.
• Implement secure development practices and ensure compliance with RMF, cybersecurity, and data governance requirements.
• Evaluate and apply appropriate machine learning techniques (e.g., classification, regression, anomaly detection, time-series analysis) based on mission needs.
• Monitor, validate, and maintain AI/ML model performance in operational environments.
• Optimize application performance, scalability, and reliability across enterprise platforms.
• Support integration and use of platforms for AI/ML development and deployment.
• Develop and maintain technical documentation, including data flows, model descriptions, and system designs.
• Support Dev Sec Ops practices, including CI/CD pipelines for applications and model deployment.
• Identify opportunities to improve mission effectiveness through data analytics automation, and AI/ML capabilities.
• Support continuous improvement of development processes, analytics capabilities, and enterprise tool utilization.
• Work across multi-functional teams, including with devsecops engineers, data engineers, mission assurance analysts and cybersecurity professionals.
• Other duties as assigned.

Qualifications

• Education: Bachelor's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or related field.
• Experience: 5+ years of experience in software development, data engineering, analytics development, to include use of AI/ML.
• Clearance: Active Secret clearance with the ability to obtain TS with SCI eligibility.

Preferred Qualifications:

• 3+ years' experience supporting DoD or federal programs is highly desirable.
• Demonstrated experience developing and deploying AI/ML models in production or operational environments.
• Experience developing with Army Vantage, Palantir Foundry, Ionic, Maven or Apache Superset (e.g., data models, pipelines, analytics products, or dashboards).
• Experience operating within an Agile development environment.
• Strong programming experience in:
• Python (required)
• Py Spark
• SQL
• Additional languages as applicable
• Experience developing data pipelines and performing data transformation/feature engineering.
• Experience integrating analytics or AI/ML outputs into enterprise applications or platforms.
• DoD 8140/8570 baseline security certification (such as CompTIA Security+, CASP+, or CISSP) or a cloud-specific security certification (e.g., AWS Certified Security - Specialty).
• Cloud-Specific ML Certifications such as Azure AI Engineer Associate (AI-102) or AWS Certified Machine Learning - Specialty.

Knowledge, Skills and Abilities:

• Ability to apply optimization techniques and search algorithms.
• Understanding of…