Principal Engineering AI Solution Architect
Stanley Black & DeckerTowson, MD · full time · Lead / Staff / Principal
$110,600 – $178,000
Listed on Stanley Black & Decker’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role guides the implementation of AI solutions across the engineering lifecycle at a major tools manufacturer, helping product teams design smarter tools and optimize development workflows. It suits experienced engineers who've worked through product development challenges and want to apply machine learning to real-world manufacturing and hardware problems.
Our summary, not Stanley Black & Decker’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- ANSYS
- API Design
- C++
- CI/CD
- Docker
- ETL
- Java
- Kubernetes
- MATLAB
- Microsoft Azure
- Python
- PyTorch
- SAP Product Lifecycle Management (SAP PLM)
- scikit-learn
- Simulink
- SolidWorks
- TensorFlow
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What they ask for
Required
- Bachelor's or master's degree in engineering or computer science
- 10+ years of product engineering or embedded systems development experience
- 5+ years applying AI/ML to physical or engineered products and workflows
- Proven track record of designing and deploying AI/ML solutions in production environments including embedded or edge platforms
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with containerization (Docker, Kubernetes)
- Strong understanding of machine learning algorithms, data engineering, and MLOps practices
Nice to have
- Experience in power tools, industrial equipment, automotive, or similarly regulated hardware product industries
- Background in mechatronics, robotics, or embedded AI
- Certifications in cloud architecture or AI/ML
- Familiarity with edge computing and IoT integration
- Experience with physics-informed ML, digital twins, or model-based design
- Knowledge of DevOps practices