Jr. Artificial Intelligence (AI) Engineer I : AI Adoption Specialist || W2 Contract only

Job Title - Artificial Intelligence (AI) Engineer I / AI Adoption Specialist
Number of Positions - 4
Job Location - Wilmington, North Carolina, USA, 28402-2819

Job Description:
We are seeking a contractor to help deliver AI solutions that improve productivity and engineering efficiency across the business. In this role, you will work with product managers, developers, and business stakeholders to support AI use cases from concept through deployment and adoption.

• You will help define requirements, contribute to lightweight prototypes, support integrations, and ensure solutions meet stakeholder needs. You will also help teams understand and adopt AI tools by translating technical concepts into practical guidance.

Essential Responsibilities

• 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 nontechnical 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.

Required Qualifications

• 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 AIrelated work.

Desired Qualifications

• 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 nontechnical 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 highvalue AI use cases and support ideation and scoping.
• Coursework, internships, or handson experience in data science, analytics, automation, or AI.