Senior Software Engineer Cloud & AI Platform

Artech LLC

  • Dearborn, MI
  • 8 days ago

    Highlights

    Within PC&I Tech is seeking a highly skilled professional to design, develop, and support cloud-native applications, enterprise integrations, developer platforms, and AI-enabled solutions that accelerate engineering and business outcomes. Support implementation of emerging AI architectures including Retrieval-Augmented Generation (RAG), agentic workflows, Model Context Protocol (MCP), and intelligent workflow automation.

    Numbers & Facts

    LocationDearborn, MI

    Description

    Introduction

    Within PC&I Tech is seeking a highly skilled professional to design, develop, and support cloud-native applications, enterprise integrations, developer platforms, and AI-enabled solutions that accelerate engineering and business outcomes. This role is focused on backend engineering, Google Cloud Platform (GCP), DevOps, platform engineering, and modern software development practices.

    Required Skills & Qualifications

    • Deep experience building scalable APIs, cloud services, CI/CD pipelines, enterprise integrations, and AI-powered applications.
    • Proficiency in GCP, GCP Cloud Run, BigQuery, and Data Analysis.
    • Experience with Angular and UI/UX design.
    • Solution Architecture expertise.
    • 10 years in IT with 8 years in development and GCP expertise.
    • Hands-on experience with Data / Analysis / Containerization and AI stack.
    • Applicants must be able to work directly for Artech on W2.

    Preferred Skills & Qualifications

    • Experience with AI Stack.
    • Prior work experience in client's industry.
    • Ford experience preferred.

    Day-to-Day Responsibilities

    • Build and enhance AI-enabled applications supporting engineering, business, and operational workflows across Product Development.
    • Integrate applications with enterprise knowledge sources, business systems, workflow platforms, and AI services.
    • Develop reusable platform capabilities supporting retrieval, orchestration, prompt management, evaluation, telemetry, and feedback workflows.
    • Support implementation of emerging AI architectures including Retrieval-Augmented Generation (RAG), agentic workflows, Model Context Protocol (MCP), and intelligent workflow automation.
    • Evaluate new technologies and contribute to reusable AI engineering standards, frameworks, and best practices.

    For immediate consideration please click APPLY to begin the screening process with Alex.

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