All hired employees are expected to have experience with Microsoft Copilot and / or an approved equivalent AI solution.
AI/ML Integration Specialist Summary: Lead AI/ML integration by delivering practical, secure, and governed capabilities that improve productivity, automation, search, analytics, and decision support while ensuring proposed AI/ML solutions are authorized, usable in Army environments, aligned with mission and compliance requirements, and implemented without disrupting operations.
Required Skills:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, Information Systems, or a related technical field.
- AWS, AI/ML, or data certification preferred; CompTIA Security+ required.
- Active Secret Clearance
- 5+ 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.
- Active Secret Clearance
Desired Qualifications:
- 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.
Responsibilities:
- 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.
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.
Many of DSA's positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DSA is proud to be an Equal Opportunity Employer. DSA is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. DSA requires background checks , where permitted , by law. DSA is an E-Verify Employer.
Skills Required
- 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 equivalent AI/ML certification.
- Active Secret security 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 AI/ML integration patterns.
- Ability to translate mission needs, user pain points, and business requirements into 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 federal or regulated-environment compliance.
- Strong collaboration skills across architecture, development, data, cybersecurity, DevSecOps, testing, product, and government stakeholder teams.
- Experience implementing AI/ML use cases for federal acquisition, contracting, financial, procurement, or mission workflow systems.
- Experience with AI-enabled document analysis, compliance assistance, search, summarization, anomaly detection, workload assignment, recommendation engines, reporting, or 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.
- Experience with Microsoft Copilot or an approved equivalent AI solution.
What We Do
Data Systems Analysts, Inc. (DSA) is a 100% employee-owned company providing mission-essential information technology solutions for Defense, Federal Government, Academia, and Commercial customers. Established in 1963, DSA specializes in systems engineering and integration, software development, data analytics, cyber operations, and critical infrastructure intelligence systems to help customers achieve sensitive, mission-critical goals.
