AI & Data Analytics Co-op/Intern

AI & Data Analytics Co-op/Intern

Position Type: Co-op / Internship (Graduate-level, semester or summer term)

Location: On-site – Houston

Duration & Schedule: 10–12 week summer internship OR 4–8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).

Key Responsibilities:

• Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
• Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
• Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
• Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
• Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
• Support adoption through training, documentation, and change-management support.
• Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:

• Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
• Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
• Working knowledge of SQL — able to write joins, aggregations, and window functions against a relational database.
• Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
• Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
• Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:

• Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
• Exposure to the Microsoft Azure AI stack — Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
• Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
• Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
• Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
• Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:

• Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
• Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
• A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:

• Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
• Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability