AI Solutions Engineer chez Innovative Defense Technologies (IDT)
Innovative Defense Technologies (IDT) · Fall River, États-Unis d'Amérique · Onsite
- Professional
- Bureau à Fall River
Background Information:
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 a AI Solutions Engineer to be based in our Fall River, MA, Arlington VA, or Mt. Laurel, NJ office. 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.
Overview:
At IDT, we are committed to delivering cutting-edge solutions that protect and empower our nation’s security. As a leading provider of advanced technologies, we recognize that AI has the potential to transform the way we operate internally by enhancing productivity, decision-making, and innovation.
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
- Systems Engineering
This role requires a unique blend of technical expertise, creative problem-solving, and cross-functional collaboration. The successful candidate will operate with mid-to-senior level independence—identifying opportunities, defining initiatives, and driving execution to measurable outcomes while ensuring alignment with IDT’s overall business mission and objectives.
All applicants must currently possess an active U.S. Security Clearance.
Responsibilities Include:
- 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 Required 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.
Competencies:
- Ability to work independently, define priorities, and execute initiatives without constant oversight, while thriving in a team environment
- Excellent communication skills and the ability to work effectively in a collaborative, fast-paced, and mission-driven environment
- Strong critical thinking skills and the ability to evaluate new technologies for practical application
- Willingness to adapt to new tools and stay up to date with AI/ML advancements
Pay range: $90,000 - $150,000 or $114,000 - $184,000
*Pursuant to California Senate Bill 1162 and New Jersey Senate Bill 2310, IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about California Senate Bill 1162. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.
This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.
EEO Statement:
IDT is an Equal Opportunity employer.
