Senior AI/ML Engineer

Role Description

Join the growing Warfare Systems Business Group at HII-Mission Technologies! We are seeking a Senior AWS Data Scientist 4 (AI/ML Engineer) to support the Defense Security Cooperation Agency (DSCA) Case Development Modernization (CDM) effort. In this high-impact role, you will design, develop, and operationalize advanced AI/ML solutions on AWS GovCloud to modernize the Foreign Military Sales (FMS) case lifecycle , including the Defense Security Assistance Management System (DSAMS) Case Development and Training Modules. You will leverage machine learning, generative AI, and Retrieval-Augmented Generation (RAG) techniques to enhance data transparency, accelerate case development timelines, enable intelligent automation, and support Executive Order 14268 goals for speed and accountability in security cooperation.

• Designs, develops, and implements statistical and analytical methods.
• Examines processes and systems to consolidate and analyze diverse data sets including structured, semi-structured, and unstructured.
• Develops and sources software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate, and evaluate datasets.
• Employs statistical concepts, linguistics, and programming skills to develop related techniques and methods for analysis.
• Keeps abreast of new analytic methodologies and technologies.
• Collaborates with functional business units to drive solutions and directions and interprets and presents findings to enable business decisions.
• Design, develop, and operationalize AI-enabled data solutions that ingest, transform, and analyze structured and unstructured data to support production machine learning, generative AI, and decision-support capabilities.
• Design, develop, and deploy production-grade AI/ML models to support Case Development Modernization, including semantic search, intelligent document processing, predictive analytics for case timelines, and workflow automation.
• Implement Retrieval-Augmented Generation (RAG) architectures and generative AI solutions to improve data discovery, case line recommendations, and stakeholder decision support.
• Develop and maintain modern data architectures that enable real-time bi-directional synchronization between legacy Oracle databases and new cloud-native systems while ensuring data integrity and auditability.
• Build scalable data pipelines, feature stores, and MLOps processes in IL5 DISA GovCloud environments using tools such as Databricks, SageMaker, or equivalent.
• Collaborate with cross-functional teams (Software Engineers, Data Engineers, Product Owners, and SMEs) in a SAFe Agile environment to translate FMS business requirements into AI/ML capabilities.
• Ensure all AI/ML solutions comply with DoD standards including Zero Trust, RMF, Section 508, and applicable security controls while supporting automated ATO processes through SBOM generation and continuous monitoring.
• Evaluate emerging AI technologies and recommend innovative applications to reduce technical debt and improve efficiency across the case lifecycle.
• Develop analytic datasets and support visualizations that provide actionable insights to DSCA leadership and stakeholders.
• Performs additional duties as assigned or required to advance mission goals.

Qualifications

• Experience developing and deploying production AI/ML solutions using modern frameworks.
• Proficiency in Python and experience building production AI/ML systems.
• Experience deploying, monitoring, and maintaining AI/ML workloads using cloud-native ML platforms and MLOps practices.
• Experience preparing, integrating, and managing structured and unstructured data that supports production AI/ML workloads.
• Ability to work independently while thriving in collaborative team settings.
• Self-motivated initiator with strong problem-solving skills and a proactive approach.
• Must possess and maintain an active Secret clearance at the time of consideration.
• Remote-eligible position; must align with Eastern Time Zone core business hours.
• AI/ML Engineer IV: 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD in related field; or High School Diploma or equivalent and 13 years relevant experience.
• AI/ML Engineer V: 15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience.

Preferred Requirements

• Advanced degree (MS or PhD) in Data Science, Computer Science, Statistics, or related field.
• Experience implementing RAG architectures and AI-driven semantic search capabilities.
• Familiarity with Foreign Military Sales (FMS), DSAMS, or Security Cooperation processes.
• Experience with Oracle databases, data migration, and hybrid legacy-to-modern architectures.
• Knowledge of DoD IL5 environments, Zero Trust, and RMF processes.
• Experience in SAFe Agile environments, including PI planning and Scrum/Kanban ceremonies.
• Familiarity with React-based frontends, Kotlin/Quarkus backends, and IBM Cognos Analytics.
• Relevant certifications such as AWS Certified Machine Learning – Specialty or equivalent.

Physical Requirements

• Ability to remain in a stationary position for prolonged periods while working at a computer.
• Ability to operate a keyboard, mouse, and standard office equipment to perform analytical tasks.
• Must be able to effectively communicate in virtual meetings, briefings, and secure collaboration environments.
• Ability to review, analyze, and interpret digital data for extended periods with attention to detail and accuracy.
• Occasional light lifting of documents or equipment up to 10 lbs, if needed for home-office setup.
• Must maintain a home work environment that meets company and government security requirements.
• Must be able to work assigned East Coast core business hours to support program and customer requirements.

Benefits

• Competitive benefits such as best-in-class medical, dental and vision plan choices.
• Wellness resources and employee assistance programs.
• Savings Plan Options (401(k)) and financial planning tools.
• Life insurance and employee discounts.
• Paid holidays and paid time off.
• Tuition reimbursement and early childhood and post-secondary education scholarships.
• Bonus/other non-recurrent compensation is occasionally offered for qualified positions.