Note: The job is a remote job and is open to candidates in USA. The Mutual Group is an insurance company seeking an AI Automation Engineer to enhance engineering productivity through AI-assisted automation and integrations. The role involves developing automation components and workflows, collaborating with various teams to streamline operations, and ensuring secure and maintainable implementations.
Responsibilities
- Design, build, test, and maintain AI-assisted automation components, scripts, integrations, workflows, and reusable engineering assets
- Develop automation that improves software delivery, testing, documentation, release readiness, operational workflows, and employee productivity
- Translate 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 that can be adopted by other IT teams
- Support proof-of-concept development and help mature successful automation patterns into repeatable, production-ready capabilities
- Build AI-enabled workflows that support coding, test generation, documentation, requirements analysis, code review, knowledge retrieval, and developer productivity
- Configure and support productivity use cases using 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 that 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 LLMs, 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
- Use Model Context Protocol (MCP) or similar approaches to connect AI systems with enterprise tools, APIs, data sources, and workflow actions in a secure and governed manner
- 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
- Partner 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, support 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, sensitive data handling, logging, monitoring, output validation, and responsible AI usage
- Work with Security, Data, Architecture, and AI & 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
Skills
- 4+ years of technology experience across software engineering, automation, scripting, integration, cloud, data, platform engineering, IT operations, or enterprise technology delivery
- 2+ 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 LLMs, embeddings, prompt engineering, RAG, semantic search, summarization, classification, and enterprise knowledge retrieval
- Familiarity with Agentic AI concepts such as tool/function calling, orchestration, human-in-the-loop workflows, guardrails, monitoring, and safe deployment practices
- Familiarity with Model Context Protocol (MCP) or similar methods for connecting AI systems to enterprise tools, APIs, data sources, and workflows
- Experience with 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
- Experience working in regulated environments with security, privacy, auditability, operational readiness, and compliance expectations
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or equivalent practical experience
Benefits
- Competitive base salary plus incentive plans for eligible team members
- 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
- Free basic life and AD&D, long-term disability and short-term disability insurance
- Medical, dental and vision plans to meet your unique healthcare needs
- Wellness incentives
- Generous time off program that includes personal, holiday and volunteer paid time off
- Flexible work schedules and hybrid/remote options for eligible positions
- Educational assistance
Company Overview