AI Solutions Integration & Reliability Engineer

Real Staffing

Minneapolis (MN)

Hybrid

USD 90,000 - 130,000

Full time

3 days ago

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Job summary

Real Staffing seeks an Integration & Reliability Engineer - AI Solutions to lead hands-on deployment and integration of AI-powered tooling within an enterprise environment. You will work with engineers, architects, and security teams to deliver scalable, production-ready capabilities.

The role emphasizes platform health, automation, and continuous improvement, with a hybrid onsite/offsite work arrangement.

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
3+ years of experience supporting, deploying, or operating enterprise software platforms or cloud-based solutions.
Experience integrating business-critical applications, development tools, or engineering systems into larger technology ecosystems.
Hands-on experience with cloud environments such as AWS, Azure, or similar platforms.
Strong troubleshooting and problem-solving skills across production systems and enterprise applications.
Familiarity with monitoring, logging, system performance analysis, and incident response processes.
Experience supporting or implementing AI, generative AI, large language model (LLM), or intelligent automation solutions.
Knowledge of DevOps practices, CI/CD pipelines, infrastructure automation, and modern software delivery methodologies.
Ability to work independently in a fast-paced and evolving technical environment.

Responsibilities

Deploy, configure, and maintain AI-powered platforms and engineering productivity tools.
Design and support integrations between AI solutions and enterprise systems, development platforms, cloud services, and collaboration tools.
Monitor platform health, performance, and reliability, identifying and resolving operational issues as they arise.
Manage user provisioning, access controls, and support processes to ensure a positive user experience.
Collaborate with architects and technical leaders to implement scalable solution designs and integration strategies.
Translate pilot programs and proof-of-concept initiatives into stable, production-ready capabilities.
Establish and improve operational processes related to monitoring, incident management, governance, and platform support.
Partner with technology, security, and infrastructure teams to ensure compliance with enterprise standards and best practices.
Contribute to automation efforts that improve platform efficiency and reduce manual support requirements.
Promote a culture of innovation, accountability, and continuous improvement.