Senior AI Automation Engineer

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. Senior AI Automation Engineer Mexico (Virtual) Role Overview: Shape the architecture and engineering standards behind automation systems that improve how Genesys operates at scale. As a Senior AI Automation Engineer within IT, you will own the design and delivery of production-grade automation across a portfolio spanning established RPA solutions, modern browser automation, API-driven workflows, and emerging AI and agentic systems. You will set technical direction for complex automation initiatives, making architectural decisions around reliability, modularity, observability, testing, security, cost, and long-term maintainability. The role combines hands-on software engineering with strategic ownership, including responsibility for keeping business-critical RPA automations reliable while determining when modernization through Playwright, APIs, AI, or agentic approaches creates meaningful value. Working across IT, engineering, and business teams, you will translate complex process challenges into scalable automation solutions and influence how Genesys applies technologies such as Python, JavaScript or TypeScript, LLMs, and enterprise AI platforms. Your work will help reduce operational risk, improve automation performance, and enable teams to solve higher-value business problems with greater efficiency and reliability. This role offers visibility into enterprise automation and AI initiatives while providing opportunities to expand your influence across architecture, engineering standards, and AI-enabled operations. You will help Genesys advance practical, customer-focused innovation through thoughtful technical decisions, strong collaboration, and ownership of systems that deliver measurable value.

Own the end-to-end architecture and delivery of complex automation systems, establishing scalable approaches to modularity, error handling, state management, observability, testing, and long-term maintainability Define automation engineering standards across code structure, testing practices, deployment patterns, version control, documentation, and architectural conventions to improve consistency and production reliability Lead technical design reviews for automation initiatives, identifying architectural risks, scalability constraints, integration dependencies, and operational considerations before significant engineering investment is committed Drive the reliability and modernization of the existing RPA portfolio, using operational data and engineering judgment to determine which automations should be maintained, refactored, migrated, or replaced Lead transitions from legacy RPA solutions to Playwright, API-native automation, or other modern approaches when they provide clear technical and business value, while protecting continuity of business operations Design and productionize AI-integrated and multi-step agentic workflows that combine LLM reasoning, tool use, APIs, and deterministic process logic while addressing context management, failure recovery, output reliability, and cost Integrate enterprise AI platforms, including Claude, ChatGPT Enterprise, and Amazon Q, into automation pipelines while managing APIs, model or platform versioning, prompt strategies, and output quality as engineering concerns Partner with IT, engineering, and business stakeholders to translate ambiguous process challenges into scalable automation requirements, drive alignment on