Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Manufacturing, ToolsIndustries
Requirements
Undergraduate degree with 3 years or graduate degree with 2 years of relevant experience
2-4 years of relevant experience or equivalent
Knowledge of software development, project management, architecture, and problem-solving
Process optimization or automation certification preferred
Use requirements management tools (e.g., JIRA, Confluence)
Understand AI/ML algorithms and libraries (TensorFlow, PyTorch, Keras, Scikit-learn)
Code in Python, Java, C++, or similar languages used in AI and automation
Work with AI agent toolkits and orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, Vercel AI SDK, Agno, Microsoft Semantic Kernel or others)
Understanding of LLMs, including model selection, fine-tuning, and integrating them via APIs
Perform data analysis, data wrangling and integration with various sources
Apply RPA, RAG, and system integration methods
Use core AI and compute services from cloud providers
Deliver results and demonstrate analytical thinking
Prioritize, adapt, and manage change
Show creativity, innovation, and strong interpersonal skills
Maintain attention to detail
Extra credit: Experience in digital customer experience teams
Extra credit: Multi-lingual, multichannel, and global implementation experience
Extra credit: Background in software development and DevOps for AI/cloud solutions
Responsibilities
Design, develop, and implement automation solutions tailored to business and IT needs
Lead cross-functional automation/integration projects, ensuring alignment with objectives
Integrate solutions with enterprise systems and APIs for seamless data flow
Create and optimize automated workflows using relevant technologies
Support training, testing, and deployment of AI models for automation tasks
Manage projects from conception to completion, ensuring compliance and validation
Collaborate with stakeholders for requirements gathering and documentation
Oversee user acceptance testing to confirm business and technical requirements
Identify technical issues, recommend improvements, and support innovation
Ensure seamless data flow and interoperability between modules, software components and 3rd party SaaS web services
Develop and execute test cases for AI-enabled automation systems
Validate test outputs against benchmarks to ensure reliability and safety
Ensure AI-driven automation solutions comply with Stanley Black and Decker policies, industry standards, regulations, and ethical guidelines
Assist both innovation and strategy development with subject matter expertise, when appropriate
Define business problem for an AI Agent, evaluate risks, and design logic to handle complex decisions