The Mutual Group seeks an AI Automation Engineer based in Iowa with a hybrid work arrangement to design, build, and scale AI assisted automation across IT engineering, infrastructure, and operations. The role aims to deliver reusable assets, boost productivity, and ensure secure, maintainable automation.
Responsibilities
- Design, develop, test, and maintain AI assisted automation components, scripts, integrations, workflows, and reusable engineering assets.
- Build automation that enhances software delivery, testing, documentation, release readiness, operational workflows, and employee productivity.
- Convert technical requirements and use cases into working solutions using APIs, scripts, cloud services, workflow tools, and AI enabled development platforms.
- Create reusable templates, connectors, prompts, scripts, and implementation examples for adoption by other IT teams.
- Support proof of concept work and mature successful automation patterns into repeatable, production ready capabilities.
- Develop AI enabled workflows that support coding, test generation, documentation, requirements analysis, code review, knowledge retrieval, and developer productivity.
- Configure and support productivity use cases with tools such as ChatGPT, Microsoft Copilot, and related AI assistants.
- Develop practical automation for summarization, classification, document processing, ticket analysis, workflow routing, meeting support, and knowledge assistance.
- Partner with engineering and operations teams to identify repetitive work that can be simplified through AI enabled automation.
- Document usage patterns, reusable prompts, workflows, and enablement materials to help teams adopt AI tools effectively and responsibly.
- Integrate automation capabilities with enterprise applications, APIs, data sources, document repositories, service management platforms, collaboration tools, and cloud services.
- Support AI solution development using Generative AI patterns such as large language models, embeddings, prompt engineering, retrieval augmented generation, semantic search, and enterprise knowledge integration.
- Assist with Agentic AI patterns, including tool and function calling, workflow orchestration, human in the loop controls, guardrails, monitoring, and safe execution.
- Utilize Model Context Protocol or similar approaches to securely connect AI systems with enterprise tools, APIs, data sources, and workflow actions.
- Contribute to reusable components for prompt handling, response validation, logging, monitoring, evaluation, and production support.
- Build automation that supports observability, incident summarization, root cause analysis, alert enrichment, runbook automation, service management, and operational productivity.
- Collaborate with Infrastructure and IT Operations teams to identify opportunities for predictive monitoring, automated remediation, knowledge retrieval, and workflow simplification.
- Support integration with monitoring, logging, ticketing, collaboration, and service management tools.
- Create operational runbooks, supporting documentation, and repeatable workflows for AI enabled operations use cases.
- Help measure improvements in manual effort reduction, cycle time, documentation quality, incident response, operational efficiency, and reuse.
- Apply secure by design and privacy by design practices in all automation and AI enabled workflows.
- Follow enterprise standards for identity and access management, handling of sensitive data, logging, monitoring, output validation, and responsible AI usage.
- Collaborate with Security, Data, Architecture, and AI and Technology Risk Governance teams to ensure automation solutions meet auditability, reliability, and compliance expectations.
- Test automation components for accuracy, performance, resilience, maintainability, and operational readiness.
- Identify risks, dependencies, support needs, and production readiness gaps early in the delivery process.
- Work closely with AI solutions engineers, architects, product partners, business teams, contractors, vendors, and system integration partners to deliver priority automation initiatives.
- Participate in design reviews, code reviews, troubleshooting, testing, and implementation planning.
- Document solution designs, configuration steps, reusable patterns, operational procedures, and lessons learned.
- Contribute to technical playbooks, reference examples, and enablement materials that help broader IT teams adopt AI assisted automation.
- Continuously improve automation quality, reliability, documentation, observability, security, and reuse.
Requirements
- 4 plus years of technology experience across software engineering, automation, scripting, integration, cloud, data, platform engineering, IT operations, or enterprise technology delivery.
- 2 plus years of experience with AI, machine learning, automation, advanced analytics, intelligent platforms, developer productivity tools, or emerging technology capabilities.
- Hands on experience with scripting, workflow automation, APIs, integrations, cloud services, and modern engineering tools.
- Familiarity with Generative AI patterns including large language models, embeddings, prompt engineering, retrieval augmented generation, semantic search, summarization, classification, and enterprise knowledge retrieval.
- Familiarity with Agentic AI concepts such as tool calling, orchestration, human in the loop workflows, guardrails, monitoring, and safe deployment practices.
- Familiarity with Model Context Protocol or similar methods for connecting AI systems to enterprise tools, APIs, data sources, and workflows.
- Proficiency in Python, JavaScript/TypeScript, PowerShell, Bash, Java, .NET, or similar languages.
- Working knowledge of CI/CD, test automation, DevSecOps, observability, service management, identity, cybersecurity, and privacy practices.
- Experience building automation components, integrations, reusable scripts, workflow tools, or developer productivity solutions.
- Experience with ChatGPT, Microsoft Copilot, or similar enterprise AI productivity platforms is preferred.
- Experience operating in regulated environments with security, privacy, auditability, operational readiness, and compliance expectations is preferred.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field is preferred, or equivalent practical experience.
Technologies
- Python
- JavaScript/TypeScript
- PowerShell
- Bash
- Java
- .NET
- ChatGPT
- Microsoft Copilot
Benefits
- Competitive base salary plus incentive plans for eligible team members
- 401K retirement plan with company match up to 6 percent
- Free basic life and AD and D, long term disability and short term disability insurance
- Medical, dental, and vision plans
- Wellness incentives
- Generous time off including personal, holiday, and volunteer paid time off
- Flexible work schedules and hybrid remote options for eligible positions
- Educational assistance
Department
Information Technology
Job Description
The AI Automation Engineer will develop AI assisted automation, integrations, scripts, workflows, and reusable components that improve engineering productivity, testing, documentation, observability, incident response, and operational efficiency across The Mutual Group and its member insurance carriers. This is a hands on engineering role for a practical builder who can use AI, automation, APIs, data, and modern engineering tools to simplify work, reduce manual effort, and improve speed and reliability.
Pay Range
Base salary ranges up to 135,000 USD per year, with the following guidance:
100,000 to 135,000 USD per year depending on experience, qualifications, and geographic location. In the states of California, Connecticut, Massachusetts, New Jersey, New York, and Pennsylvania, the range is 110,000 to 140,000 USD per year.
