AI Engineer

Stefanini Group • Dearborn, MI

6d • Onsite

About The Position

Stefanini Group is hiring an AI Engineer in Dearborn, Michigan. This hands-on role develops intelligent programs, cognitive applications, and algorithms for data analysis and automation. The engineer builds AI-powered systems integrating Google Cloud LLMs with BigQuery data, supporting root-cause analysis, and delivering explainable insights to quality engineers.

The role includes translating business requirements into AI algorithms, models, and applications; building AI agents that generate and execute BigQuery SQL; designing investigation-memory models; and developing multi-step reasoning workflows and APIs. The engineer also conducts large-scale experimentation, applies AI techniques to data analysis and automation, researches and optimizes AI technologies, and implements logging, traceability, and governance for explainable and accountable systems.

Stefanini Group is a global provider of outsourcing, IT digital consulting, systems integration, application, and staffing services, serving Fortune 1000 enterprises across a broad range of markets and operating across the Americas, Europe, Africa, and Asia.

Requirements

• Bachelor's degree.
• 3–5 years of relevant experience.
• Experience with Google Cloud Platform (GCP) and Python.
• Experience integrating Google LLMs with BigQuery data and building tool-using AI agents for root-cause analysis.
• Experience with Infrastructure as Code, including Terraform, and DevOps practices.
• Familiarity with CI/CD tools such as Tekton or Jenkins.
• Experience with Cloud Run, BigQuery, and GitHub Copilot.
• Understanding of Agile methodologies.
• Experience with backend frameworks such as Flask, Django, or FastAPI.
• Experience with Test-First or Test-Driven Development (TDD), MVP development, or evolutionary design.
• Basic understanding of machine learning.

Responsibilities

• Translate business requirements into AI algorithms, models, and applications that solve complex problems, generate recommendations, identify patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities.
• Build AI agents that generate and execute BigQuery SQL to support investigations and root-cause analysis.
• Design investigation-memory models to preserve relevant intelligence across sessions using structured and, where appropriate, semantic approaches.
• Develop multi-step reasoning workflows and APIs that power user experiences for quality engineers.
• Conduct large-scale experimentation and develop data-driven applications that turn data into actionable intelligence.
• Apply AI techniques including deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, and virtual assistants.
• Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation.
• Implement logging, traceability, and governance mechanisms to support explainable and accountable AI-powered systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior