Innovative Defense Technologies (IDT)
AI Solutions Engineer
Innovative Defense Technologies (IDT), Fall River, Massachusetts, us, 02720
Overview
Join to apply for the
AI Solutions Engineer
role at
Innovative Defense Technologies (IDT) . Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking an AI Solutions Engineer to be based in Fall River, MA, Arlington VA, or Mt. Laurel, NJ. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. We are seeking a skilled and driven AI Solutions Engineer to identify, prototype, and guide the adoption of AI-enabled solutions within multiple internal organizations, including DevSecOps, Security (U.S. classified environments and corporate security), Program Management, Compliance, Software Development & Testing, and Systems Engineering. Responsibilities
Identify opportunities to leverage AI/ML technologies across diverse internal organizations Define and execute AI adoption initiatives with measurable business and operational impact Research, evaluate, and prototype AI tools, frameworks, and platforms to address business needs Collaborate with internal stakeholders to design, develop, and implement AI-based solutions Integrate AI into existing workflows, ensuring usability, security, and compliance with internal and external requirements Develop and maintain proof-of-concepts and production-ready solutions for internal use Stay informed on AI trends, tools, and best practices; share knowledge and provide training as needed Document AI solution architectures, processes, and lessons learned to support ongoing knowledge growth Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, especially for classified and sensitive environments Continuously evaluate and improve AI adoption strategies to align with evolving business goals and technology landscapes Minimum Qualifications
3 years of professional experience in AI/ML engineering, data science, or a related technical role B.S. in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time practical experience Required Skills
Demonstrated knowledge of AI/ML concepts, algorithms, and practical applications Proficiency in at least one programming language commonly used in AI development (e.g., Python, R, Java) Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar Familiarity with data preprocessing, feature engineering, and model evaluation techniques Experience working with APIs, automation scripts, or custom tool integration to operationalize AI solutions Understanding of security, compliance, and ethical considerations when implementing AI solutions—especially in sensitive or classified environments Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently Experience collaborating with diverse business units to translate operational needs into technical AI solutions Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders Familiarity with version control systems (e.g., Git) and collaborative development workflows Ability to research, evaluate, and recommend emerging AI tools, frameworks, and practices Preferred Skills
Knowledge of cloud-based AI/ML tools and platforms (AWS SageMaker, Azure Machine Learning, or Google Vertex AI) Hands-on experience deploying AI/ML solutions into production environments Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines Experience integrating AI capabilities into business workflows and enterprise systems Understanding of secure software development practices and AI-specific security risks Knowledge of NIST, DISA STIGs, or other industry compliance frameworks relevant to AI deployments in regulated environments Experience with containerization and orchestration tools (Docker, Podman, Kubernetes) for AI workloads Proficiency with data visualization tools (Tableau, Power BI, Plotly, etc.) for communicating AI insights Experience working with unstructured data types such as text, images, or audio Familiarity with natural language processing (NLP) and generative AI tools Exposure to cloud-based AI/ML services such as AWS SageMaker, Azure AI, or Google Vertex AI Understanding of change management practices to support successful AI adoption across organizations Prior experience in defense, government, or other mission-critical domains Compensation and Additional Information
Pay range: $90,000 - $150,000 or $114,000 - $184,000. This range may not reflect actual compensation and is dependent on experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT may place multiple candidates at various levels and thus includes more than one pay range. EEO Statement: IDT is an Equal Opportunity employer. Seniority level: Mid-Senior level Employment type: Full-time Job function: Other, Information Technology, and Engineering Industries: Software Development and IT Services and IT Consulting Note: Referrals increase your chances of interviewing at IDT. Get notified about new Solutions Engineer jobs in Fall River, MA.
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Join to apply for the
AI Solutions Engineer
role at
Innovative Defense Technologies (IDT) . Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking an AI Solutions Engineer to be based in Fall River, MA, Arlington VA, or Mt. Laurel, NJ. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. We are seeking a skilled and driven AI Solutions Engineer to identify, prototype, and guide the adoption of AI-enabled solutions within multiple internal organizations, including DevSecOps, Security (U.S. classified environments and corporate security), Program Management, Compliance, Software Development & Testing, and Systems Engineering. Responsibilities
Identify opportunities to leverage AI/ML technologies across diverse internal organizations Define and execute AI adoption initiatives with measurable business and operational impact Research, evaluate, and prototype AI tools, frameworks, and platforms to address business needs Collaborate with internal stakeholders to design, develop, and implement AI-based solutions Integrate AI into existing workflows, ensuring usability, security, and compliance with internal and external requirements Develop and maintain proof-of-concepts and production-ready solutions for internal use Stay informed on AI trends, tools, and best practices; share knowledge and provide training as needed Document AI solution architectures, processes, and lessons learned to support ongoing knowledge growth Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, especially for classified and sensitive environments Continuously evaluate and improve AI adoption strategies to align with evolving business goals and technology landscapes Minimum Qualifications
3 years of professional experience in AI/ML engineering, data science, or a related technical role B.S. in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time practical experience Required Skills
Demonstrated knowledge of AI/ML concepts, algorithms, and practical applications Proficiency in at least one programming language commonly used in AI development (e.g., Python, R, Java) Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar Familiarity with data preprocessing, feature engineering, and model evaluation techniques Experience working with APIs, automation scripts, or custom tool integration to operationalize AI solutions Understanding of security, compliance, and ethical considerations when implementing AI solutions—especially in sensitive or classified environments Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently Experience collaborating with diverse business units to translate operational needs into technical AI solutions Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders Familiarity with version control systems (e.g., Git) and collaborative development workflows Ability to research, evaluate, and recommend emerging AI tools, frameworks, and practices Preferred Skills
Knowledge of cloud-based AI/ML tools and platforms (AWS SageMaker, Azure Machine Learning, or Google Vertex AI) Hands-on experience deploying AI/ML solutions into production environments Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines Experience integrating AI capabilities into business workflows and enterprise systems Understanding of secure software development practices and AI-specific security risks Knowledge of NIST, DISA STIGs, or other industry compliance frameworks relevant to AI deployments in regulated environments Experience with containerization and orchestration tools (Docker, Podman, Kubernetes) for AI workloads Proficiency with data visualization tools (Tableau, Power BI, Plotly, etc.) for communicating AI insights Experience working with unstructured data types such as text, images, or audio Familiarity with natural language processing (NLP) and generative AI tools Exposure to cloud-based AI/ML services such as AWS SageMaker, Azure AI, or Google Vertex AI Understanding of change management practices to support successful AI adoption across organizations Prior experience in defense, government, or other mission-critical domains Compensation and Additional Information
Pay range: $90,000 - $150,000 or $114,000 - $184,000. This range may not reflect actual compensation and is dependent on experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT may place multiple candidates at various levels and thus includes more than one pay range. EEO Statement: IDT is an Equal Opportunity employer. Seniority level: Mid-Senior level Employment type: Full-time Job function: Other, Information Technology, and Engineering Industries: Software Development and IT Services and IT Consulting Note: Referrals increase your chances of interviewing at IDT. Get notified about new Solutions Engineer jobs in Fall River, MA.
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