Artificial Intelligence (AI) Engineer I

• Partner with product managers and developers to support AI solution delivery across the product lifecycle.
• Help define, document, and communicate clear business and technical requirements.
• Support the implementation of AI use cases using approved enterprise AI tools.
• Contribute to the coordinated execution of AI initiatives across engineering teams.
• Create, test, and refine prompts for generative AI applications.
• Participate in prompt tuning and experimentation to improve model outputs.
• Assist with integrating AI services and models into applications and workflows using APIs.
• Build small prototypes, scripts, or workflow automations using Python.
• Explain technical concepts in a clear, practical way for non technical stakeholders.
• Support training, demos, and coaching to help teams adopt AI tools effectively.
• Identify opportunities where AI can streamline work, reduce effort, or improve outcomes.

Requirement/Must Have:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• At least 1 year of experience in data science, analytics, automation, or AI related work., * Basic understanding of AI/ML concepts, including large language models and prompt engineering.
• Foundational ability to read and write Python for prototypes, automation, or simple integrations.
• Understanding of APIs and how to connect scripts or tools to external services.
• Strong communication skills, especially when explaining technical topics to non technical audiences.
• Exposure to workflow automation tools (Power Automate, Logic Apps, Zapier).
• Exposure to RAG concepts or vector databases.
• Awareness of Agile, Lean, or XP delivery methodologies.
• Ability to identify high value AI use cases and support ideation and scoping.
• Coursework, internships, or hands on experience in data science, analytics, automation, or AI.