AI/ML Integration Specialist - ACWS

• Lead identification, design, and integration of AI/ML use cases that improve ACWS modernization, user efficiency, workflow automation, analytics, and decision support.
• Translate operational needs and stakeholder requirements into AI/ML solution concepts, technical requirements, prototypes, backlog items, and implementation guidance.
• Partner with architects, data administrators, developers, DevSecOps, cybersecurity, testers, and functional analysts to integrate AI/ML capabilities into secure enterprise delivery.
• Support AI/ML model selection, data preparation, prompt design, integration patterns, validation planning, and performance monitoring.
• AI-enabled delivery, testing, validation, and release support.
• Implement responsible AI practices, including human review, explainability considerations, data protection, access control, auditability, and appropriate governance.
• Coordinate testing and validation of AI/ML-enabled capabilities to ensure accuracy, reliability, security, usability, and alignment with mission outcomes.
• Maintain AI/ML documentation, design assumptions, use case traceability, model/integration decisions, risks, and implementation recommendations.
• Evaluate emerging AI/ML technologies and recommend practical improvements that support ACWS modernization without disrupting operational continuity.

All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution., * Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Information Systems, or a related technical field.

• AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer or AI/ML equivalent certification.
• Active Secret Clearance
• 6+ years of experience supporting AI/ML, data science, analytics, intelligent automation, software integration, or enterprise application modernization.
• Experience designing and integrating AI/ML capabilities into enterprise applications, workflows, APIs, data services, reporting tools, or user-facing systems.
• Working knowledge of machine learning, natural language processing, generative AI, prompt engineering, model evaluation, data pipelines, and responsible AI practices.
• Experience with Python, SQL, APIs, cloud services, structured and unstructured data, and integration patterns used to connect AI/ML capabilities with operational systems.
• Ability to translate mission needs, user pain points, and business requirements into practical AI/ML use cases, prototypes, implementation plans, and measurable outcomes.
• Knowledge of secure software delivery, data protection, privacy, model governance, human-in-the-loop controls, and compliance considerations for federal or regulated environments.
• Strong collaboration skills with the ability to work across architecture, development, data, cybersecurity, DevSecOps, testing, product, and government stakeholder teams., * Experience identifying and implementing AI/ML use cases for federal acquisition, contracting, financial, procurement, or mission workflow systems
• Experience with AI-enabled acquisition capabilities such as document analysis, clause/compliance assistance, contextual help, search, summarization, anomaly detection, workload assignment, recommendation engines, reporting, and decision support.
• Experience integrating AI/ML capabilities with Appian, LC/NC platforms, Java services, APIs, databases, business intelligence tools, or cloud-hosted environments.
• Experience developing AI-enabled search, document analysis, workflow automation, anomaly detection, recommendation, summarization, reporting, or decision-support capabilities.
• CompTIA Security+ or equivalent baseline cybersecurity certification preferred.

The posted salary range is a good-faith estimate. Actual compensation will be based on the selected candidate’s qualifications, experience, skills, and other job-related factors.

DSA - Salary Pay Range

$160,000 - $170,000 USD