AI Quality Systems Analyst

Job Description:

ProMazo builds and manages teams of top collegiate talent to work on real-world, high-impact projects for Fortune 500 companies. As a ProMazo employee, you’ll be part of a professionally managed team led by a full-time ProMazo project manager and supported by mentors and senior stakeholders inside the client company. Our mission is to help students gain unparalleled career experience by doing the kind of work typically reserved for full-time hires and top consultants.

In this role, you will join a 3-person ProMazo Workforce team helping one of America’s top paints and coatings manufacturers build an AI-powered solution to transform how quality data is accessed and used across manufacturing plants. This initiative will directly support the company’s Knowledge Navigator platform — a next-gen AI Coatings Expert designed to accelerate root cause analysis, corrective actions, and plant-level decision-making.

Key Responsibilities:

Consult with quality and operations teams to define use cases and data access challenges.

Analyze quality management data from systems like ETQ Reliance and CAIR to uncover patterns and insights.

Assist in the design and testing of a generative AI agent that answers natural language queries using both structured and unstructured data.

Work with vector embeddings, ontologies, and context-aware search technologies to enhance precision and relevance.

Contribute to the selection, tuning, and testing of large language models (LLMs) for manufacturing-specific language and workflows.

Support integration with enterprise systems and dashboards used by internal stakeholders.

Document technical recommendations and collaborate with data scientists, AI engineers, and product teams on solution development.

Required Technical Skills:

-Proficiency in Python for data processing and model interaction

-Familiarity with Excel for quick data analysis and reporting

-Experience with or exposure to AWS services (e.g., S3, Lambda, SageMaker)

-Understanding of LLMs (e.g., OpenAI, Claude, or similar)

-Knowledge of APIs, JSON, and integrating with third-party platforms

-Exposure to embedding models, knowledge graphs, or search ranking

Professional Skills:

-Strong written and verbal communication

-Ability to learn fast and navigate ambiguity

-Collaborative team player who can also work independently

-Organized and deadline-driven, with attention to detail

Program Timeline & Commitment:

Full-time (40 hrs/week) from July–August 2025

Part-time (~18 hrs/week) from September–October 2025

Career Opportunity:

Team members who demonstrate strong performance may be considered for 2026 internship or full-time positions with the client — a Fortune 500 company leading innovation in coatings and materials technology.