AI Automation

Insight Global; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Insight Global is seeking an AI Automation Engineer to design, build, and support production-grade RPA automations and AI-enabled tools for a top insurance and financial-services client. The role emphasizes reliable automation, multi-system integrations, and secure production practices, with a focus on deterministic automation where appropriate and AI where it adds real value.

You will work on Python, REST APIs, webhooks, and LLM-enabled workflows, ensuring proper testing, monitoring, and

Qualifications

• 3+ years of experience building and supporting production RPA solutions, with UiPath strongly preferred.
• Hands-on experience creating live production bots with exception handling, retries, and multi-system integrations.
• Experience building LLM-based tools that reach real users in production or via internal tools or repositories.
• Working with Claude skills or plug-ins is a plus.
• Proficiency in Python and REST APIs.
• Good practices in testing, logging, monitoring, and security.

Responsibilities

• Build, enhance, and support production-grade RPA automations.
• Maintain live bots with resilient exception-handling, retries, and orchestration.
• Develop integrations using Python, REST APIs, webhooks, SQL, PowerShell.
• Build LLM-enabled tools and workflows for real users.
• Validate AI output with proper logging and human oversight.
• Evaluate use cases for RPA vs AI or hybrid approaches.
• Test automations after changes and migrations.
• Manage automation packages through their lifecycle.

Skills

UiPath

RPA

Python

REST APIs

LLM-based solutions

Cloud/AWS/Azure/GCP

Security & monitoring

Version control

Tools

PowerShell

SQL

Azure DevOps

Jira

Job description

Job Description

Job DescriptionInsight Global is seeking an AI Automation Engineer for a top insurance and financial-services client. This candidate will bring a strong foundation in production RPA and a demonstrated progression into Python, API integrations, and user-facing AI solutions. The ideal candidate is a pragmatic engineer who knows when to use deterministic automation, when an AI-enabled approach adds value, and how to connect the two reliably. This person will build and support resilient enterprise automations, develop practical LLM-enabled tools, and help guide the organization toward agentic workflows while maintaining strong standards for testing, monitoring, security, and production stability.

Day-to-Day

• Build, enhance, and support production-grade RPA automations
• Maintain live bots and design resilient exception-handling, retry, recovery, and orchestration processes
• Develop integrations using Python, REST APIs, webhooks, SQL, PowerShell, or other appropriate technologies
• Build practical LLM-enabled tools and workflows for real users
• Validate AI output, implement retries and logging, and establish appropriate human oversight
• Evaluate whether each use case requires RPA, AI, custom code, or a combination of approaches
• Test automations after application changes, upgrades, and infrastructure migrations
• Version, review, promote, monitor, and maintain automation packages throughout their lifecycle
• Help manage the health of the existing automation estate, including upgrading, rebuilding, or retiring bots when necessary
• Operate within enterprise security, access, governance, and change-management standards

Skills and Requirements

• 3+ years of experience building and supporting production RPA solutions, with UiPath strongly preferred
• Demonstrated ownership of live production bots, including exception handling, retry and recovery logic, orchestration, and multi-system integrations
• Hands-on experience building LLM-based solutions that reached real users through production, an internal tool, or a published repository
• Experience with Claude skills or plug-ins is a particularly strong indicator
• Working proficiency with Python and REST APIs
• Sound engineering practices involving version control, testing, logging, and monitoring
• Experience delivering solutions in an enterprise environment with security, access-control, and change-management requirements
• Ability to choose the right technical approach, using deterministic automation for rule-based processes and AI only when judgment is genuinely required

Plusses

• Microsoft Power Platform experience, especially Power Automate and Power Apps Retrieval-augmented generation, embeddings, and vector-store experience
• Model Context Protocol or agent-framework experience
• LLM evaluation and monitoring experience
• Experience in insurance, financial services, or another regulated industry
• Azure or GCP experience
• Familiarity with CI/CD, Jira, or Azure DevOps
• Exposure to multi-step agents and AI orchestration

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].