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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Engineering AI Solution Architect - **Company:** Stanley Black & Decker - **Location:** Towson, MD, United States - **Experience:** Expert - **Salary:** $110,600.0 - $178,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Information Engineering, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Containerization, Scikit Learn, Kubernetes, Information Technology, Deployment Automation, Multiaccess Edge Computing, Api Design, Data Pipelines, Docker - **Published:** August 23, 2026 - **Apply:** https://www.juju.com/job/00000000gon3wm ## About the Role You love to learn and grow and be acknowledged for your valuable contributions. You're not intimidated by innovation. Wouldn't it be great if you could do your job and do a world of good? In fact, you embrace it. **You also have:** + Bachelor's orMaster's degree in Computer Science, Engineering, Data Science, ora relatedfield. + 10+ years of experience with integrated HW-SW product development, with5+years focused on AI/ML projectswith engineering design applications. + Proventrack recordapplying AI/ML methods to drive transformational change in engineering. + Proventrack recordof designing and deploying AI/ML solutions in production environments. + Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). + Strong understanding of machine learning algorithms, data engineering, andMLOpspractices. Skills + Proficiencyin programming languages such as Python, Java, or C++. + Expertisein AI/ML frameworks (e.g., TensorFlow,PyTorch, Scikit-learn). + Excellent problem-solving and analytical skills. + Strong communicationand 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. Preferred Qualifications + Certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer). + Experience in industries such as manufacturing, automotive, or healthcare. + Familiarity with edge computing and IoT integration. ## Description 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 overseethe end-to-end implementation of AI projects, from ideation and prototyping to deployment and monitoring. + Evaluate and selectappropriate AItechnologies, frameworks, and tools based on project needs. + Guide and mentor engineering teams on AI/ML model integration, data pipelines, and cloud deployment strategies. + Develop andmaintainAI 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)