Staff 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.

Job Details

• Job Title: Staff AI Automation Engineer
• Department & Team: IT
• Reports to: Manager, AI Enablement & Automation

About the Role

The Staff AI Automation Engineer sets the technical direction for how Genesys builds, scales, and governs automation across the enterprise. This is the senior-most engineering voice on the automation team - someone who has already done the hands-on work of designing production automation systems and RPA modernization, and now operates one level up: setting architecture standards across multiple initiatives, making build-versus-buy calls on automation platforms and frameworks, and mentoring the engineers who do the day-to-day design and delivery.

You will own the technical strategy for a portfolio that spans legacy RPA, Playwright-based workflows, and agentic AI pipelines - deciding not just how individual automations should be built, but how the teams tooling, standards, and platform capabilities should evolve so automation scales safely across Genesys. You will partner with the Manager, AI Enablement & Automation and cross-functional leaders to translate ambiguous, high-stakes process problems into a coherent automation roadmap, and you will be the person other engineers escalate to when a design decision needs deeper judgment

What You'll Do

AI Automation Architecture & Technical Strategy

• Own the technical strategy and multi-year roadmap for Genesys automation portfolio, making build-versus-buy and platform-consolidation calls across RPA, Playwright, and agentic frameworks.
• Set and evolve the automation engineering standards - architecture patterns, testing, observability, deployment, and documentation - and drive their adoption across the team.
• Lead architecture reviews for the highest-complexity or highest-risk automation initiatives, and decide when a proposed solution needs to be reworked before investment is committed.

RPA Estate Management & Modernization

• Own the modernization strategy for the legacy RPA estate: what gets retained, refactored, replaced, or decommissioned, and in what sequence.
• Define the migration and decommission playbook other engineers use to move automations from legacy RPA to modern, API-native, or agentic alternatives without disrupting business operations.
• Establish the evidence-based framework - cost, reliability, maintainability - the team uses to make retain versus-replace decisions consistently.

Agentic & AI-Integrated Automation Platform

• Design reusable, production-grade patterns for agentic workflows - context management, tool-calling reliability, cost controls, and failure handling - that other engineers build on rather than reinventing.
• Own the integration architecture connecting enterprise AI platforms (Claude, ChatGPT Enterprise, Amazon Q) into the automation pipeline, including versioning, prompt strategy, and output-reliability practices as shared team standards.
• Build internal tooling and shared components (libraries, templates, CI/CD patterns) that reduce the cost of building new automations across the team

Technical Leadership & Mentorship

• Mentor senior and mid-level automation engineers on architecture, code quality, and technical judgment; review designs and code for the teams most complex work.
• Serve as the technical escalation point across IT, engineering, and business stakeholders - resolving ambiguous requirements and pushing back on scope that would produce brittle automation.
• Turn execution telemetry (reliability, volume, latency, cost) into a clear narrative for the Manager, AI Enablement & Automation and other leaders, directly informing prioritization and platform investment decisions.

What You Bring

We encourage candidates who meet many, though not all, of the qualifications below to apply.

Required Qualifications

• 8+ years of experience in automation engineering, software engineering, or systems integration, with a substantial track record delivering production automation - not just prototypes.
• Expert-level proficiency in Python and/or JavaScript/TypeScript, with a track record of setting architectural direction and code standards that other engineers follow.
• Deep, hands-on experience with RPA platforms (Automation Anywhere, Power Automate, UiPath, or equivalent), including leading modernization or decommission efforts across a live automation estate.
• Demonstrated experience designing automation systems for failure at scale: retry logic, alerting, state management, and recovery paths embedded as team-wide standards, not one-off fixes.
• Hands-on experience building production agentic systems (LangChain, CrewAI, AutoGen, or equivalent), including managing context, tool-calling reliability, and cost at scale.
• Strong track record establishing engineering standards - code review, testing, documentation, or architectural patterns - adopted across a team or organization and mentoring other engineers to that standard.
• Hands-on experience with REST API integration: authentication patterns, rate limiting, pagination, and multiservice orchestration.

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.