Responsibilities 

Primary Technical Work 

• Design, develop, test, and deploy AI-powered applications, models, and workflows using Python and Azure services 

• Develop machine learning models, generative AI solutions, and intelligent automation capabilities 

• Build and integrate solutions using Azure OpenAI, Azure AI Services, Azure Machine Learning, and related Microsoft AI platforms 

• Create and maintain Python-based applications, APIs, scripts, and data processing pipelines 

• Support prompt engineering, retrieval-augmented generation (RAG), agentic AI, and Copilot-based solution development 

• Document experiments, models, technical decisions, deployment steps, and support requirements 

Secondary Business Collaboration 

• Translate business problems into defined AI use cases, requirements, and technical solution designs 

• Engage with P&AI business teams to validate requirements, expected outcomes, and adoption needs 

• Participate in workshops, demonstrations, stakeholder reviews, and solution testing sessions 

• Present progress and results through clear briefings, demos, technical summaries, and business impact updates 

• Contribute to reusable templates, standards, and knowledge-sharing materials for AI development across the division 

Success Criteria 

• Delivery of production-ready AI prototypes, applications, models, or workflows that address P&AI business needs 

• Clear technical documentation, maintainable code, and summary of business value or operational impact 

• Demonstrated use of Azure AI, Azure OpenAI, Azure Machine Learning, and Microsoft development tools 

• Strong problem-solving ability and effective collaboration with technical and nontechnical stakeholders 

• Development of reusable capabilities that can be leveraged across multiple AMETEK businesses 

• Continuous growth in AI engineering, cloud development, enterprise software practices, and secure solution design 

Required Qualifications 

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Information Systems, Mathematics, Statistics, or a related technical field 

• Graduation within the past two years or expected graduation prior to start date 

• Experience using Python for data, AI, automation, or software development through coursework, internships, research, personal projects, or professional experience 

• Understanding of core machine learning concepts such as supervised learning, model training, evaluation, and deployment considerations 
• Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs

• Familiarity with cloud services, APIs, software development practices, or willingness to learn quickly 

• Effective written and verbal communication skills 

• Strong analytical thinking, curiosity, and ability to work through ambiguous technical problems 

• Ability to work onsite in Pittsburgh, Pennsylvania 

Preferred Qualifications 

• Experience with Azure Machine Learning, Azure OpenAI, Azure AI Services, or Power Platform AI features 

• Experience building end-to-end AI, machine learning, automation, or data-driven prototypes 

• Familiarity with SQL, Git, REST APIs, and general software development practices 

• Exposure to Copilot Studio, Power Automate, Microsoft Fabric, Dataverse, or Power Platform 

• Knowledge of large language models (LLMs), prompt engineering, vector databases, or retrieval-augmented generation 

• Experience building full-stack applications or integrating cloud services 

• Interest in applying AI within industrial, manufacturing, engineering, or B2B contexts 

What You Will Gain 

• Hands-on experience contributing to enterprise-scale AI initiatives with measurable business impact 

• Direct mentorship from senior AI, automation, and technology leaders 

• Opportunities to build practical solutions that move beyond experimentation into business adoption 

• Exposure to Microsoft's evolving AI ecosystem and enterprise development practices 

• Career development toward advanced AI Engineering, Solution Architecture, Data Science, and Technical Leadership roles