AI Automation Engineer

Job Summary

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.

Role Details

Job Title: AI Automation Engineer

Department & Team: IT

Reports to: Manager, AI Enablement & Automation

About the Role

The AI Automation Engineer designs and delivers intelligent automation solutions that eliminate manual toil and accelerate how work gets done across Genesys IT. You will move the organizations automation capability forward from traditional RPA toward modern agentic frameworks, combine strong Python engineering with Playwright-based workflows, and AI-driven process automation - applying engineering discipline at every stage from discovery through production.

The automation landscape here is a mix of existing RPA implementations that need to be kept running reliably and a growing body of new work built on modern tooling. You will contribute to both - supporting whats already deployed while building new solutions that raise the bar on what automation can do at Genesys.

What You'll Do

Automation Design & Development

• Design, build, and deploy automation solutions - ranging from Playwright-based browser workflows to API-driven integrations and AI-augmented pipelines - that measurably reduce manual effort in IT and business operations.

• Maintain and support existing RPA automations, diagnosing failures, handling changes to dependent systems, and keeping deployed solutions running reliably for the teams that depend on them.

• Translate process maps and business requirements into well-structured, maintainable automation code with clear error handling, logging, and recovery logic.

• Establish and maintain a sustainable support model for deployed automations, including documentation, version control, and change management practices.

Agentic & AI-Driven Automation

• Prototype and productionize agentic workflows using modern frameworks (e.g., LangChain, CrewAI, AutoGen, or similar), integrating LLM capabilities where they add precision or flexibility beyond rule-based automation.

• Connect automation workflows with enterprise AI platforms (Claude, ChatGPT Enterprise, Amazon Q) via APIs to enable intelligent, context-aware process execution.

• Evaluate the teams automation stack and contribute to discussions about where legacy RPA approaches should be augmented with AI-native tooling, backed by concrete performance comparisons.

Discovery, Delivery & Continuous Improvement

• Partner with IT and business stakeholders to identify and prioritize automation opportunities, using process analysis and effort/impact scoring to focus engineering capacity where it delivers the most value.

• Instrument deployed automations with telemetry that tracks execution volume, error rates, and time saved - feeding data back into prioritization and optimization decisions.

• Contribute to team standards for automation architecture, code quality, and governance, helping establish patterns the broader team can reuse and build on.

What You Bring

Required Qualifications

• 3+ years building automation solutions in a professional context - including scripted workflows, RPA implementations, or API integrations delivered to production.
• Hands-on experience with at least one RPA platform (Automation Anywhere, Power Automate, UiPath, or equivalent), including maintaining live automations and diagnosing failures.
• Proficiency in Python or JavaScript/TypeScript for automation engineering, with a track record of writing readable, maintainable code.
• Demonstrated ability to work with REST APIs - including authentication, rate limiting, error handling, and chaining multi-step API workflows.
• Experience mapping and decomposing business processes to identify automation fit and design solution architecture before writing code.

Preferred Qualifications

• Experience with Playwright or similar browser automation tools - or a demonstrated ability to pick up new automation frameworks quickly.
• Experience building or experimenting with agentic automation frameworks (LangChain, CrewAI, AutoGen, or similar).
• Familiarity integrating LLM APIs (OpenAI, Anthropic, or similar) into workflow automation to handle unstructured data or decision logic.
• Exposure to CI/CD practices for automation deployment - version control, testing pipelines, and change management.

Key Skills

• RPA platform experience and automation lifecycle management
• Automation engineering and workflow development
• Python or JavaScript/TypeScript scripting
• Agentic and LLM-integrated automation design
• API integration and REST workflow orchestration
• Process analysis and opportunity identification

Business Impact

• Keeps existing automation running reliably while delivering new solutions that reduce manual toil across IT and business operations.
• Advances Genesyss automation maturity from legacy RPA toward AI-native, agentic workflows - increasing the complexity and business value of problems the team can address.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.