Engineer- IT AI II USA

First Solar•Perrysburg, OH

1d•Onsite

About The Position

The IT AI Engineer II will design, develop, and deploy intelligent automation solutions using Python and Azure services. This role focuses on building scalable, secure, and maintainable AI agents that integrate with enterprise systems to enhance productivity, decision-making, and operational efficiency. The ideal candidate will have strong experience in Python development, Azure AI services, and modern software engineering practices.

Requirements

Minimum 4 years of experience in software engineering or AI/ML development.
At least 2 years of hands-on experience building and deploying Python-based solutions in Azure.
Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.
Proficient in Python and frameworks like FastAPI, LangChain, etc.
Strong knowledge of Azure Functions, Cognitive Services, OpenAI, Logic Apps, and DevOps.
Experience with RESTful APIs, Docker, and CI/CD pipelines.
Skilled in prompt design, vector databases (Azure AI Search, Pinecone), and orchestration.
Ability to design secure, scalable, and maintainable AI agent systems.
Proficient with Git, Agile practices, and test-driven development.
Excellent collaboration and ability to explain technical concepts to non-technical audiences.
Experience with Graph API, Power Platform, and Microsoft 365 integration.
Understand interactions between AI solutions and other enterprise applications.
Familiarity with data privacy, compliance, and ethical AI principles.
Knowledge of model deployment, monitoring, and retraining practices.
Ability to analyze processes and apply AI for efficiency gains.
Perform analytical tasks using Azure AI tools (ML, Synapse) to deliver insights.
Conduct AI/ML experimentation, prototype development, and evaluate emerging tech.
Design scalable pipelines using Azure Data Factory, SQL, Cosmos DB for AI workloads.

Responsibilities

Contribute to the design and development of intelligent agents to support business process automation.
Collaborate with cross-functional teams to implement AI solutions aligned with business needs.
Assist in integrating AI agents with enterprise systems and data sources.
Support the monitoring, maintenance, and iterative improvement of deployed AI solutions.
Develop and maintain technical documentation, including workflows and implementation guides.
Stay informed on emerging AI technologies and contribute to innovation discussions.
Participate in applied research and prototyping efforts to evaluate new AI capabilities.
Assist in evaluating new tools and frameworks for potential adoption.
Apply AI development methodologies and support MLOps practices under guidance.
Build and optimize data pipelines and AI-powered applications with scalability in mind.
Contribute to integration and deployment processes in collaboration with DevOps teams.
Support release and deployment activities, ensuring quality and compliance.
Help troubleshoot and resolve technical issues throughout the application lifecycle.
Follow established quality and environmental standards in development practices.
Perform other duties as assigned.