Principal Engineering AI Solution Architect

Stanley Black & Decker, Inc.; Towson (MD); Hybrid; USD 110,600 - 178,000; Full time

Benefits offered by this job

Medical, dental, vision, life insurance

401(k) plan

Tuition reimbursement

Employee Stock Purchase Plan

Paid time off

Job summary

Stanley Black & Decker, Inc. is seeking a Principal Engineering AI Solution Architect to lead AI initiatives across the engineering organization. The role is hybrid, based in Towson, MD, demanding significant experience in integrated hardware-software product development and AI applications.

Responsibilities include architecture of AI solutions, collaboration with teams, and guidance on AI/ML technologies. Qualifications include a relevant degree and extensive experience with AI/ML development and cloud platforms. The position offers a competitive salary and comprehensive benefits.

Qualifications

• 10+ years of experience in integrated hardware-software product development.
• 5+ years focused on AI/ML projects with engineering design applications.
• Experience designing and deploying AI/ML solutions in production environments.

Responsibilities

• Lead architecture of AI-driven solutions for engineering problems.
• Collaborate with cross-functional teams to define solution requirements.
• Oversee end-to-end AI project implementation from ideation to deployment.

Skills

AI/ML integration

Cloud platforms (AWS, Azure, GCP)

Programming languages (Python, Java, C++)

Machine learning algorithms

Problem-solving skills

Communication and presentation skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Engineering AI Solution Architect – Hybrid

Stanley Black & Decker (NYSE: SWK) is seeking a Principal Engineering AI Solution Architect to lead the vision, development, and implementation of AI initiatives across our engineering organization. The role is based in Towson, MD and requires a hybrid work model.

Responsibilities

• Architecture of AI‑driven solutions for complex engineering problems, ensuring scalability, reliability, and security.
• Collaboration with cross‑functional teams (engineering, product management, data science, and IT) to define solution requirements and technical specifications.
• Coordination and oversight of end‑to‑end AI project implementation from ideation and prototyping to deployment and monitoring.
• Evaluation and selection of appropriate AI technologies, frameworks, and tools based on project needs.
• Guidance and mentorship of engineering teams on AI/ML model integration, data pipelines, and cloud deployment strategies.
• Development and maintenance of AI roadmaps for engineering.
• Ensuring compliance with data privacy, security, and regulatory requirements in all AI solutions.
• Staying updated with the latest AI trends, research, and technologies.
• Participation in client meetings, presentations, and technical workshops as a subject‑matter expert.

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience with integrated hardware‑software 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 (TensorFlow, PyTorch, Scikit‑learn).
• Excellent problem‑solving and analytical skills.
• Strong communication and presentation skills, capable of explaining 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.

Benefits and Compensation

• Salary range: $110,600 – $178,000 annually, depending on experience, location, and qualifications.
• Medical, dental, vision, life, and disability insurance.
• Retirement benefits including a 401(k) plan.
• Employee Stock Purchase Plan.
• Paid time off, including vacation, holidays, and personal days.
• Tuition reimbursement and a comprehensive learning and development program.
• Discounts on Stanley Black & Decker tools and partner programs.
• Annual merit increases and performance‑based awards.

EEO Statement

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 a reasonable accommodation to complete an application or access our website, please contact us at (860) 827‑3923 or [e-mail].