Full-Time
AI/ML Integration Specialist
ACWS
Updated on 9/4/2026
Data Systems Analysts
1,001-5,000 employees
Defense-focused systems engineering and security services
Compensation Overview
$160k - $170k/yr
No H1B Sponsorship
Fort Dix, Pemberton Township, NJ, USA
In Person
US Citizenship, US Top Secret Clearance Required
Bachelor's
 Software Engineering (1) |
|---|
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- A bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Information Systems, or a related technical field is required.
- An AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer, or equivalent AI/ML certification is required.
- CompTIA Security+ certification is required.
- An active Secret Clearance is required.
- At least 6 years of experience supporting AI/ML, data science, analytics, intelligent automation, software integration, or enterprise application modernization is required.
- Experience designing and integrating AI/ML capabilities into enterprise applications, workflows, APIs, data services, reporting tools, or user-facing systems is required.
- Working knowledge of machine learning, natural language processing, generative AI, prompt engineering, model evaluation, data pipelines, and responsible AI practices is required.
- Experience with Python, SQL, APIs, cloud services, structured and unstructured data, and integration patterns used to connect AI/ML capabilities with operational systems is required.
- Ability to translate mission needs, user pain points, and business requirements into practical AI/ML use cases, prototypes, implementation plans, and measurable outcomes is required.
- Knowledge of secure software delivery, data protection, privacy, model governance, human-in-the-loop controls, and compliance considerations for federal or regulated environments is required.
- Ability to collaborate across architecture, development, data, cybersecurity, DevSecOps, testing, product, and government stakeholder teams is required.
- Lead the 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 personnel, 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.
- Support AI-enabled delivery, testing, validation, and release activities.
- 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 and integration decisions, risks, and implementation recommendations.
- Evaluate emerging AI/ML technologies and recommend practical improvements that support ACWS modernization without disrupting operational continuity.
- 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 and compliance assistance, contextual help, search, summarization, anomaly detection, workload assignment, recommendation engines, reporting, and decision support.
- Experience integrating AI/ML capabilities with Appian, low-code/no-code 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.
DSA provides mission-essential solutions for Defense and Federal Government customers, including Systems Engineering and Integration, Software Development, Data Analytics, Cyber Operations and Security, Systems Modernization, Cloud Solutions, Enterprise Collaboration and Knowledge Management, and Critical Infrastructure Intelligence Systems. It delivers end-to-end programs that combine engineering, development, security, cloud, collaboration, and analytics to meet sensitive government requirements. The company differentiates itself through employee ownership, a long history since 1963, and formal compliance and process standards such as ISO 9001:2015, ISO/IEC 27001:2013, and CMMI Level 3. Its goal is to provide trusted, secure, and dependable capabilities to DoD, Civil agencies, universities, and private sector partners across the United States, supporting mission-critical operations across 60+ locations.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Pennsylvania
Founded
1963
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Simplify's Take
What believers are saying
- May 2026 eCAP and March 2026 ERDS wins expand federal backlog.
- OASIS+ opens broader federal sales through a ten-year government-wide vehicle.
- CMMC Level 2 and ISO 27001 registration strengthen credibility with security-conscious buyers.
What critics are saying
- September 2025 breach exposed SSNs and financial data, triggering 2026 notices.
- John Foley replaced Frances Pierce in February 2026, risking execution during transition.
- Army and GSA concentration makes DSA vulnerable if recompetes slip after 2026.
What makes Data Systems Analysts unique
- 100% employee-owned since 1963, with long-tenured leadership and continuity.
- DSA won GSA OASIS+ prime status in Technical, Engineering, and Management Advisory.
- DSA secured a five-year, $193 million Army eCAP task order in 2026.
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Benefits
Remote Work Options
Professional Development Budget
Company News
Joseph Bartasius assumes DSA chief growth officer role.
Somplasky joined DSA in 2015 as the director of Quality Management and Program Excellence and was eventually promoted to senior director and named chief information security officer in 2016.