远程工作雷达

高级AI自动化工程师

Senior AI Automation Engineer

AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Genesys
薪资未公开
工作地点Mexico
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Full Time
发布时间2 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Mexico 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

为关键场景打造人工智能驱动的体验。

在 Genesys,我们通过人工智能驱动的体验编排帮助组织提升客户体验。我们的平台连接人员、系统、数据和人工智能,帮助组织提供更个性化的服务,提高运营效率并建立更牢固的客户关系。

帮助构建、支持和运营被超过 8000 家组织在 100 多个国家使用的技术——每天将人工智能从可能性变为现实企业环境中的生产应用。

高级 AI 自动化工程师
墨西哥(远程)
职位概述:
塑造自动化系统背后的整体架构和工程标准,以提升 Genesys 在大规模运作中的效率。作为 IT 部门的高级 AI 自动化工程师,你将负责跨一系列已有的 RPA 解决方案、现代浏览器自动化、API 驱动的工作流以及新兴的人工智能和代理系统,交付生产级自动化方案。
你将为复杂的自动化项目设定技术方向,围绕可靠性、模块化、可观测性、测试、安全性、成本和长期可维护性做出架构决策。该职位结合了实际的软件工程工作与战略责任,包括确保关键业务 RPA 自动化可靠运行,同时判断何时通过 Playwright、API、AI 或代理方法进行现代化改造能创造真正的价值。
与 IT、工程和业务团队合作,你将把复杂流程挑战转化为可扩展的自动化解决方案,并影响 Genesys 如何应用 Python、JavaScript 或 TypeScript、大语言模型(LLM)和企业人工智能平台等技术。你的工作将有助于降低运营风险,提升自动化性能,并使团队更高效、更可靠地解决更高价值的业务问题。
此职位提供对企业自动化和人工智能项目的深入了解,同时提供机会扩大你在架构、工程标准和人工智能驱动的运营方面的影响力。你将帮助 Genesys 通过深思熟虑的技术决策、强大的协作和对可衡量价值系统的掌控,推动实用且以客户为中心的创新。
主要职责:

  • 负责复杂自动化系统的端到端架构和交付,建立可扩展的模块化方法、错误处理、状态管理、可观测性、测试和日志记录策略
查看英文原文

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.
Key Responsibilities:

  • 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 technical tradeoffs, and constructively challenge assumptions that could create brittle solutions
  • Instrument automation systems with telemetry for execution reliability, volume, latency, failures, and cost, using operational insights to improve architecture and guide portfolio prioritization
  • Provide technical leadership on high-complexity automation initiatives by decomposing work into deliverable increments, reviewing code and designs, mentoring teammates, and resolving implementation decisions that require advanced engineering judgment

Required Qualifications:

  • 5+ years of experience in automation engineering, software engineering, systems integration, or a related discipline, including substantial experience delivering and supporting automation solutions in production
  • Strong proficiency in Python and/or JavaScript or TypeScript, with the ability to write production-quality code, conduct effective code reviews, and make independent architectural decisions
  • Hands-on experience with RPA platforms such as Automation Anywhere, Microsoft Power Automate, UiPath, or equivalent, including maintaining production automations, diagnosing failures, and managing changes to dependent systems
  • Demonstrated expertise designing resilient automation systems with retry strategies, alerting, state management, observability, and recovery paths incorporated into the architecture
  • Hands-on experience integrating REST APIs, including authentication patterns, rate limiting, pagination, error handling, and orchestration across multiple services
  • Strong background in software engineering principles, including system design, maintainable code, testing, version control, and production-grade delivery
  • Proven track record of establishing or contributing to engineering standards covering areas such as code review, automated testing, documentation, deployment practices, or architectural patterns
  • Demonstrated ability to make sound technical decisions across legacy and modern automation technologies, balancing reliability, scalability, maintainability, cost, and business value
  • Strong collaboration and communication skills, with experience working across technical and business teams to clarify requirements, evaluate tradeoffs, and guide complex initiatives

Preferred Qualifications:

  • Experience with Playwright or comparable browser automation frameworks, or demonstrated success adopting new automation technologies quickly
  • Experience building production agentic AI systems using frameworks such as LangChain, CrewAI, AutoGen, or equivalent, including context management, tool calling, reliability, and cost considerations
  • Familiarity with CI/CD pipelines, automated testing, deployment practices, and version control workflows applied to automation systems
  • Background in enterprise IT operations, IT service management (ITSM), systems integration, or large-scale business process automation
  • Experience integrating large language models or enterprise AI platforms into production automation workflows
  • Familiarity with monitoring, telemetry, and observability practices for measuring automation reliability, performance, usage, and cost

Working at Genesys

  • AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
  • A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
  • Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
  • Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
  • Recognized globally – Genesys is Great Place to Work®certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply
After you apply, here's what you can typically expect:
· Our Talent Acquisition team reviews your application with the hiring team.
· A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.

· Next, you'll meet the hiring manager and other members of the interview team.
· We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
· After interviews are complete, our team will follow up with the final steps.
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
Get notified about relevant opportunities.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.

Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us .

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
Originally posted on Himalayas

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