Principal Engineering AI Solution Architect

Stanley Black & Decker, Inc. • Towson, MD

8d • $110,600 - $178,000 • Hybrid

About The Position

As Principal Engineering AI Solution Architect, you’ll be part of our Electronics & Electrical team working as a hybrid employee. Stanley Black & Decker (NYSE: SWK) is seeking a Principal Engineering AI Solution Architect to serve as a strategic individual contributor shaping the vision, development, and implementation of AI initiatives within Engineering. This role sits within the Engineering organization and is intended first and foremost for an experienced engineer who understands the realities of physical product development and has subsequently applied AI to improve engineering outcomes. This is not a pure IT or software AI role. We are looking for someone who has lived the product development process, understands the pain points engineers face across design, controls, validation, and release, and can apply AI in practical, high-value ways that make the Engineering Excellence team more effective.

Requirements

• Bachelor’s or master’s degree in engineering or computer science.
• 10+ years of experience in product engineering or embedded systems development, with 5+ years applying AI/ML to physical or engineered products and workflows — not solely IT systems.
• 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) and containerization (Docker, Kubernetes).
• Strong understanding of machine learning algorithms, data engineering, and MLOps practices.
• Proficiency in programming languages such as Python, Java, or C++.
• Familiarity with CAD/CAE/PLM tools (e.g., SolidWorks, Ansys) or embedded toolchains (C/C++, RTOS, MATLAB/Simulink).
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with physics-informed ML, digital twins, or model-based design.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience with data modeling, ETL pipelines, and API design.
• Knowledge of DevOps practices and CI/CD pipelines.
• Ability to work independently and as part of a collaborative team.

Nice To Haves

• 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 (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer).
• Familiarity with edge computing and IoT integration.

Responsibilities

• Architect AI-driven solutions embedded in the product engineering lifecycle: CAD/PLM data, embedded firmware and controls development, and test/validation workflows.
• Apply AI/ML to mechatronic systems and embedded controls e.g., predictive diagnostics, sensor fusion, and motor/battery control optimization for power tool platforms.
• Develop digital twins and physics-informed / surrogate models that connect CAE and simulation data with AI to accelerate design iteration.
• Partner with product engineering, controls/firmware teams, and manufacturing engineering to define solution requirements and technical specifications.
• Build AI capabilities for engineering shared services: automated workflows, design-for-reliability analytics, and simulation-assisted design.
• Collaborate with cross-functional teams (engineering, product management, data science, and IT) to define solution requirements and technical specifications.
• Coordinate and oversea the end-to-end implementation of AI projects for product engineering, from ideation and prototyping to deployment and monitoring.
• Evaluate and select appropriate AI technologies, frameworks, and tools appropriate to embedded and engineering-domain constraints.
• Guide and mentor engineering teams on AI/ML model integration, data pipelines, and cloud deployment strategies.
• Develop and maintain AI roadmaps for engineering.
• Ensure compliance with data privacy, security, and regulatory requirements in all AI solutions.
• Stay updated with the latest AI trends, research, and technologies to drive innovation within the organization.
• Participate in client meetings, presentations, and technical workshops as a subject matter expert.

Benefits

• Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement in addition to programs & benefits in support of your well-being.
• Discounts on Stanley Black & Decker tools and other partner programs.
• Competitive salary
• Comprehensive benefits plan that includes medical, dental, life, vision, wellness program, disability, retirement benefits, Employee Stock Purchase Plan, Paid Time Off, including paid vacation, holidays & personal days, and tuition reimbursement.
• Discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners.
• Access to a wealth of learning resources, including our digital learning portal.
• Access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Associate degree