Integration & Reliability Engineer - AI Solutions

Real; Minneapolis (MN); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Real is expanding its AI capabilities and seeks an Integration & Reliability Engineer - AI Solutions to deploy, integrate, and support AI-powered tools across engineering and product teams.

This hands-on role focuses on platform implementation, systems integration, monitoring, governance, and continuous improvement in a complex enterprise. You will work with architects, security, and infrastructure teams to deliver scalable AI-enabled solutions that meet enterprise standards.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 3+ years of experience deploying or operating enterprise software platforms.
• Experience integrating business-critical applications into tech ecosystems.
• Hands-on cloud experience (AWS, Azure).
• Strong troubleshooting and incident response skills.
• Familiarity with monitoring, logging, and performance analysis.
• Experience with AI, generative AI, LLM, or automation.
• Knowledge of DevOps, CI/CD, and infrastructure automation.
• Ability to work independently in a fast-paced environment.

Responsibilities

• Deploy, configure, and maintain AI-powered platforms and tools.
• Design and support integrations between AI solutions and enterprise systems.
• Monitor platform health, performance, and reliability.
• Manage user provisioning and access controls.
• Collaborate with architects to implement scalable designs.
• Translate pilots into production-ready capabilities.
• Improve operational processes for monitoring and incident management.
• Partner with security and infrastructure teams for compliance.
• Contribute to automation to improve efficiency.
• Promote innovation and continuous improvement.

Skills

Systems integration

Cloud deployment

DevOps practices

Troubleshooting

Stakeholder communication

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline

Tools

AWS

Azure

Job description

Integration & Reliability Engineer - AI Solutions

About the Opportunity

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.

Key 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.

Required 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.

Preferred Qualifications

• Experience working in highly regulated or compliance‑driven industries.
• Background supporting engineering, product lifecycle, or enterprise business systems.
• 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.
• Experience driving adoption of emerging technologies across technical teams.

What You’ll Bring

• Strong communication and stakeholder management skills.
• A practical, solutions‑oriented mindset.
• The ability to balance innovation with operational excellence.
• Passion for AI technologies and their application within enterprise environments.
• A collaborative approach to working with cross‑functional teams.
• Hybrid work arrangement with regular onsite collaboration.
• Opportunity to help shape and scale enterprise AI capabilities.
• Exposure to cutting‑edge technologies and complex technical challenges.
• Collaborative environment focused on continuous learning and professional growth.
  

Integration & Reliability Engineer - AI Solutions

About the Opportunity

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.

Key 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.

Required 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.

Preferred Qualifications

• Experience working in highly regulated or compliance‑driven industries.
• Background supporting engineering, product lifecycle, or enterprise business systems.
• 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.
• Experience driving adoption of emerging technologies across technical teams.

What You’ll Bring

• Strong communication and stakeholder management skills.
• A practical, solutions‑oriented mindset.
• The ability to balance innovation with operational excellence.
• Passion for AI technologies and their application within enterprise environments.
• A collaborative approach to working with cross‑functional teams.

Work Environment

• Hybrid work arrangement with regular onsite collaboration.
• Opportunity to help shape and scale enterprise AI capabilities.
• Exposure to cutting‑edge technologies and complex technical challenges.
• Collaborative environment focused on continuous learning and professional growth.
  

Desired Skills and Experience

Data Pipelines, SQL, AWS, Snowflake, Databricks, Data Governance, AI/ML, MLOps,

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct‑hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.