Hiring: Integration & Reliability Engineer - AI Solutions Company: Real Location: Minneapolis, MN Job Posted Time: 2026-09-03 10:25:14 Employment Type: Hybrid Target Skills & Keywords : AWS, Azure, CI/CD, Data Pipeline, Databricks, LLM, Large Language Model, MLOps, SQL, Snowflake, User Experience About the job Experience: •3+ years of experience supporting, deploying, or operating enterprise software platforms or cloud-based solutions. Required Skills: •Join a leading organization undergoing a large-scale AI transformation across its engineering and product development teams. The team is seeking an AI Solutions Delivery Engineer to help deploy, integrate, and support AI-powered tools and workflows that improve collaboration, efficiency, and innovation across technical teams. •This is a highly hands-on role focused on platform implementation, systems integration, operational support, and continuous improvement. The successful candidate will work closely with technical stakeholders, architects, and enterprise technology teams to deliver scalable AI-enabled solutions in a complex enterprise environment. •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. •Partner cross-functionally 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. Qualifications: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. •Applied hands-on capability in cloud environments such as AWS, Azure, or similar platforms. •Strong troubleshooting and problem-solving skills across production systems and enterprise applications. •Operational familiarity with monitoring, logging, system performance analysis, and incident response processes. •Knowledge of DevOps practices, CI/CD pipelines, infrastructure automation, and modern software delivery methodologies. •Demonstrated capacity to work independently in a fast-paced and evolving technical environment. •Background supporting engineering, product lifecycle, or enterprise business systems. •Operational familiarity with AI infrastructure concepts such as model management, vector search technologies, or AI orchestration frameworks. •Scripting or automation experience using modern programming languages and tools. •Strong communication and stakeholder management skills. Compensation: •$80,000 - $140,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!