Digital Tool & Die Inc. · 11 hours ago
Artificial Intelligence (AI) Engineer (Secret Clearance and US Citizenship Required)
Huntsville, AL
Full-time
Onsite
Mid, Senior Level
3+ years expDigital Tool & Die Inc. is seeking an experienced Artificial Intelligence (AI) Engineer with an active Secret security clearance to support their government customer in Huntsville, AL. The role involves providing expert guidance on AI initiatives, leading research efforts, and collaborating with cross-functional teams to implement AI solutions in cloud environments.
IndustrialManufacturingPrecious Metals
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, train, fine-tune, and deploy AI/ML models (LLMs, embeddings, classification models, RAG pipelines)
Build secure, scalable APIs and services to integrate AI capabilities into business systems
Design and implement agentic AI workflows that coordinate multiple models or services to achieve mission objectives
Integrate retrieval-augmented generation (RAG) and agentic reasoning into production environments
Implement and maintain automated CI/CD pipelines for model development, testing, deployment, and rollback
Design and implement containerized applications and services that can be deployed across multiple cloud environments
Build portable AI pipelines with containerization to ensure future-proof deployments and migration flexibility
Integrate security and compliance controls into all phases of development (DevSecOps), code scans, dependency management, vulnerability assessment, etc
Use Infrastructure as Code (IaC) tools to provision, configure, and maintain cloud resources
Deploy AI/ML systems to production in cloud environments (Google Cloud or Microsoft Azure), ensuring scalability, performance, and cost optimization
Design data pipelines for ingestion, preprocessing, training, inference, and monitoring
Monitor production systems: model drift, performance degradation, operational/logging/metrics, and incident response
Understanding of autonomous workflow design, reasoning strategies, and error handling
Ensure compliance with data security, privacy, and regulatory requirements
Collaborate across teams (product, operations, security, data) to translate business requirements and risk posture into technical implementation
Qualification
Required
Active or Interim SECRET security clearance
Active CompTIA Security+ certification
B.S. in Computer Science, Engineering, Mathematics, or a related discipline
Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, cloud-native AI libraries)
Hands-on experience with cloud platforms (Google Cloud, Azure) for AI/ML deployment
Experience with containerization (Docker), orchestration (Kubernetes) for model deployment
Experience building and managing CI/CD pipelines, including automated testing and secure software delivery
Familiarity with DevSecOps practices: vulnerability scanning, dependency management, secure coding, secrets management, encryption
Experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Azure Resource Manager)
Proficiency with APIs / microservices (FastAPI, REST, GraphQL)
Knowledge of vector databases or retrieval systems for embeddings, etc
Compliant with DoW Cyber Workforce Framework (DCWF) requirements – defines foundational, residential, and continuous professional development for roles within the DoW
Preferred
Prior experience in regulated or high-sensitivity environments (e.g., government, defense, healthcare)
Knowledge of RAG (Retrieval-Augmented Generation) pipelines or multi-agent architecture
Integrate RPA solutions with cloud AI services, data sources, and mission applications
Experience with agent frameworks and interoperability standards, including MCP, A2A, and LangServe
Proficiency in designing cloud-native applications with portability across environments (Azure, Google Cloud, on-premises)
Familiarity with observability/monitoring tools and practices (logging, metrics, alerting)
Experience with cloud-native security services in Azure/Google (IAM, policies, encryption, network segmentation)
Experience in model governance, data privacy, bias mitigation, and fairness
Strong software engineering practices: code reviews, automated testing, and version control workflows
Masters in AI, Machine Learning, or a closely related discipline is highly preferred
3-5 years' experience with AI implementations
Experienced with Cloud and System Engineering
Experience in Technical Writing for Policy and Planning Documentation
Experience with project roadmaps, planning, and tracking multiple, disparate teams
Experience authoring and presenting Executive Level documentation and briefs
Benefits
Health, dental, and vision insurance
401K with company matching
Flexible spending accounts
Paid holidays
Three weeks paid time off
Company
Digital Tool & Die Inc.
Established in 1989, Digital Tool & Die Inc. is privately owned and located in Grandville Michigan.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase