Product Architect – AI, Digital Products

Stanley Black & Decker, Inc.

Product Architect designing AI-powered digital products for Stanley Black & Decker’s global tool brands. Prototyping LLM applications, AI agents, and scalable cloud architectures for customer experiences.

Posted 8/14/2026full-timeRemote • Maryland • 🇺🇸 United StatesSeniorLead💰 $110,600 - $178,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing AI-enabled applications and cloud-native solutions, leveraging Large Language Models and modern software architecture. Strong ability to translate business opportunities into scalable technical solutions while ensuring best practices in AI governance and integration.

Highest-signal resume keywords

Python ProgrammingLarge Language ModelsAWS Cloud PlatformAPI DesignMicroservices Architecture

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Hard Skills

Enterprise Software DesignDigital Product DevelopmentCloud-Native Application DevelopmentAI Engineering PatternsSemantic SearchVector DatabasesPrompt EngineeringAI AgentsOrchestration FrameworksGovernance Frameworks

Soft Skills

Strong Communication SkillsPassion for Emerging Technologies

Tools & Technologies

AWSAzureOpen-Source TechnologiesCommercial PlatformsIntelligent Automation

Industry Keywords

Digital Customer ExperiencesBusiness ValueRapid PrototypingReference ArchitecturesEngineering StandardsResponsible AI Development

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsMicroservicesPython

About the role

Key responsibilities & impact

Identify emerging AI technologies that can transform digital customer experiences and create business value
Translate business opportunities into innovative, scalable technical solutions across digital products and connected customer experiences
Build rapid prototypes and proof-of-concepts to validate product ideas and technical feasibility
Evaluate commercial platforms, open-source technologies, and AI services for use cases
Design AI-enabled applications using Large Language Models, Retrieval-Augmented Generation, semantic search, vector databases, and intelligent automation
Architect AI agents and multi-agent workflows for customer and business processes
Design secure integrations across AI services, enterprise systems, cloud platforms, and digital products
Develop reference architectures and reusable digital capabilities for production scaling
Partner with Product Managers, Platform Architects, and Engineering teams on roadmaps and production-ready solutions
Establish engineering standards and best practices for AI applications, APIs, governance, observability, and responsible AI development
Serve as the bridge between Product Strategy, AI Innovation, and Enterprise Engineering

Requirements

What you’ll need

7+ years of experience designing enterprise software, digital products, or cloud-native applications
Strong software engineering background with Python and production-grade application development experience
Experience building applications using Large Language Models and modern AI engineering patterns
Experience designing APIs, microservices, and distributed systems
Experience with AWS and/or Azure cloud platforms
Strong understanding of modern software architecture and cloud-native development practices
Experience with RAG, semantic search, embeddings, vector databases, prompt engineering, and AI agents
Experience evaluating, benchmarking, and optimizing Large Language Models
Experience designing guardrails, orchestration, and governance frameworks
Strong communication skills for explaining complex technical concepts to technical and business audiences
Passion for emerging technologies, continuous learning, and innovative digital products

Benefits

Comp & perks

Medical insurance
Dental insurance
Life insurance
Vision insurance
Disability benefits
401(k)
Employee Stock Purchase Plan
Paid time off, including paid vacation, holidays, and personal days
Tuition reimbursement
Wellness program
Discounts on Stanley Black & Decker tools and products
Discount programs for vendors and partners
Learning resources, including a digital learning portal, Lean Academy, and online university
Career growth opportunities and multiple career paths
Volunteerism, giving back, and sustainable business practices