Senior AI Platform Engineer

Strategic Staffing Solutions; Detroit (MI); Hybrid; USD 96,000 - 152,000; Full time

Job summary

Strategic Staffing Solutions in Detroit, MI is seeking a Senior AI Platform Engineer to join our Advanced Analytics team on a W2 12-month contract. This role is hybrid, with on-site attendance Tue-Thu.

You will productionize AI/ML and Generative AI solutions, build scalable Python services, and design data pipelines and ETL/ELT processes to support analytics and enterprise applications on Azure. Ideal candidates have strong Python/SQL, experience with DevOps/MLOps, REST APIs, and deploying in

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 5+ years of experience in software, data, AI/ML, cloud, or platform engineering.
• Strong Python and SQL skills with production-grade app experience.
• Experience building data ingestion, ETL/ELT pipelines for analytics/AI.
• DevOps and MLOps experience including CI/CD and GitHub Actions.
• REST API development and enterprise application integration.
• Azure deployment experience and containerized apps (Docker/Podman).
• Linux administration, troubleshooting, and shell scripting.

Responsibilities

• Partner with Data Scientists and stakeholders to productionize AI/ML and Generative AI solutions.
• Translate prototypes into scalable, maintainable software applications.
• Develop production-quality Python apps, APIs, services, and integration components.
• Design integrations between AI solutions and enterprise data sources and systems.
• Establish reusable engineering patterns for AI/analytics solutions.
• Build and maintain data ingestion and integration pipelines for analytics/AI.
• Develop and maintain ETL/ELT processes for data preparation.
• Integrate data from APIs, databases, files, and apps.
• Design reliable data workflows for applications and analytics.
• Design, deploy, and support AI apps in Microsoft Azure.
• Work with Azure resources (Functions, App Service, Container Apps, Storage, Key Vault, AI services, Monitor).
• Understand Azure identity, authentication, authorization, networking and security.
• Work in Linux environments and demonstrate system administration skills.
• Troubleshoot issues across local and cloud environments.
• Design and implement CI/CD pipelines via GitHub Actions.
• Automate movement of apps from development to test/production.
• Apply MLOps across ML/AI lifecycle.

Skills

Python

SQL

Data ingestion

ETL/ELT

DevOps

MLOps

CI/CD

GitHub Actions

REST APIs

Azure

Docker

Linux

Education

Bachelor's degree in CS/Engineering/IS

Tools

Docker

Podman

Job description

Senior AI Platform Engineer

Detroit, MI (Hybrid/Onsite Tues-Thurs)

W2 contract role

12 Months then eligible for Contract renewal

Role Overview

We are seeking a Senior AI Platform Engineer to join our Advanced Analytics team and help transform analytical, machine learning, and Generative AI solutions into secure, scalable, production-ready applications.

Key Responsibilities

• Partner with Data Scientists, Analytics professionals, and business stakeholders to productionize AI, ML, and Generative AI solutions.


• Translate analytical and AI prototypes into scalable, maintainable software applications.


• Develop production-quality Python applications, APIs, services, and integration components.


• Design integrations between AI solutions and enterprise applications, data sources, APIs, and downstream systems.


• Establish reusable engineering patterns for AI and analytics solutions.


• Build and maintain data ingestion and integration pipelines supporting analytics and AI applications.


• Develop and maintain ETL/ELT processes to acquire, transform, validate, and prepare data for analytical and AI use cases.


• Integrate data from APIs, databases, files, enterprise applications, and other source systems.


• Design reliable, maintainable data workflows appropriate for application and analytical requirements.


• Design, deploy, and support AI and analytics applications within Microsoft Azure.


• Work with Azure Functions, Azure App Service, Azure Container Apps, Azure Storage, Azure Key Vault, Azure AI services, Azure AI Foundry, Azure AI Search, Azure Monitor, and related Azure resources.


• Understand Azure identity, authentication, authorization, networking, security, and resource-management concepts.


• Work comfortably in Linux-based development and runtime environments.


• Demonstrate practical Linux system administration knowledge, including processes, services, permissions, networking, package management, shell scripting, logs, and system troubleshooting.


• Troubleshoot application and environment issues across local Linux and cloud-hosted environments.


• Design and implement CI/CD pipelines using GitHub Actions to automate testing, building, and deployment.


• Automate movement of applications from development through test and production environments.


• Apply MLOps practices across the lifecycle of machine learning and AI applications from development through production.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.


• 5+ years of experience in software, data, AI/ML, cloud, or platform engineering.


• Strong Python and SQL skills, with experience building production-grade applications and data solutions.


• Hands-on experience designing and building data ingestion, ETL/ELT pipelines, and scalable data engineering solutions to support analytics, AI/ML, and enterprise applications.


• Hands-on experience with DevOps and MLOps, including CI/CD, GitHub Actions, deployment automation, monitoring, and operational support.


• Experience developing and integrating REST APIs and enterprise applications.


• Hands-on experience deploying applications and services on Microsoft Azure.


• Experience with Docker, Podman, or similar container technologies.


• Strong Linux administration, troubleshooting, and command-line experience.