Principal Engineering AI Solution Architect

Engineering AI Solution Architect

Hybrid position based in Towson, MD, with onsite work three days per week.

• 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 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience with integrated HW‑SW product development, with 5+ years focused on AI/ML projects with engineering design applications.
• Proven track record applying AI/ML methods to drive transformational change in engineering.
• Proven track record of 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, and MLOps practices.

• Proficiency in programming languages such as Python, Java, or C++.
• Expertise in AI/ML frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn).
• 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 Dev Ops practices and CI/CD pipelines.
• Ability to work independently and as part of a collaborative team.

• 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.

Competitive salary range: $110,600 - $178,000 per year. Medical, dental, vision, life, disability, 401(k), Employee Stock Purchase Plan, paid time off, tuition reimbursement, and discounts on Stanley Black & Decker tools.

All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status or any other protected characteristic. If you require reasonable accommodation to complete an application or access our website, please contact us at  or at