Stanley Black & Decker

Manufacturing

PrincipalEngineeringAISolutionArchitect

$111–178k Towson, Maryland, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Engineering AI Solution Architect at Stanley Black & Decker. Skills: AI Solution Architecture, Machine Learning, Cloud Deployment. Architect AI-driven solutions. Ensure scalability, reliability, and security”

Industry & Context.

Manufacturing
Problems you'll solve

Problem-solving; Analytical skills

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Engineering, Data Science, or related field, 10+ years integrated HW-SW product development, 5+ years focused on AI/ML projects, Proven track record applying AI/ML methods, Proven track record designing and deploying AI/ML solutions, Experience with cloud platforms (AWS, Azure, GCP), Experience with containerization (Docker, Kubernetes)

Nice to Have

Certifications in cloud architecture or AI/ML, Experience in manufacturing, automotive, or healthcare, Familiarity with edge computing, Familiarity with IoT integration

What You'll Do.

Architect AI-driven solutions

Collaborate with cross-functional teams

Define solution requirements

Define technical specifications

Coordinate end-to-end implementation

Oversee AI project implementation

Evaluate AI technologies

Guide engineering teams on AI/ML integration

Guide engineering teams on data pipelines

Guide engineering teams on cloud deployment

Mentor engineering teams on AI/ML integration

Mentor engineering teams on data pipelines

Mentor engineering teams on cloud deployment

Ensure compliance with data privacy

Ensure compliance with security

Ensure compliance with regulatory requirements

Stay updated with AI trends

Stay updated with AI research

Stay updated with AI technologies

Drive innovation within organization

Participate in client meetings

Participate in presentations

Participate in technical workshops

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Product management teams; Data science teams; IT teams

Communication Scope

Explain technical concepts; Presentations; Technical workshops

Process & Methodology

Roadmaps

Full Job Description

**Engineering AI Solution Architect — Hybrid** Towson, MD, United States **Come build something that matters.** It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join our top-notch team of approximately 43,500 diverse and high-performing professionals globally who are making their mark on some of the world’s most beloved brands, including DEWALT®, BLACK+DECKER®, CRAFTSMAN®, STANLEY®, CUB CADET®, and HUSTLER®. **The Role** Stanley Black & Decker (NYSE: SWK) is seeking a Principal Engineering AI Solution Architect. In this pivotal role, you will serve as a strategic individual contributor, responsible for shaping the vision, development, and implementation of AI initiatives across the engineering organization. This position demands thought leadership in AI, with a focus on leveraging advanced technologies to drive transformative change within our engineering teams. As a **Engineering AI Solution Architect** , you’ll be part of our Tools & Outdoor team working as a hybrid employee. **You’ll get to:** **The Job:** * Architect AI-driven solutions for complex engineering problems, ensuring scalability, reliability, and security. * Collaborate with cross-functional teams (engineering, product management, data science, and IT) to define solution requirements and technical specifications. * Coordinate and oversee the end-to-end implementation of AI projects, from ideation and prototyping to deployment and monitoring. * Evaluate and select appropriate AI technologies, frameworks, and tools based on project needs. * 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 lates

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