远程工作雷达

资深AI解决方案架构师

Principal AI Solution Architect 

AI开发工程市场运营限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡
公司Genesys
薪资未公开
工作地点Germany
地域资格限定地区(需当地身份)
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Germany 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:日间重叠约 2 小时,需偶尔早起或晚睡。

在最关键的地方打造人工智能驱动的体验。

在 Genesys,我们帮助组织通过人工智能驱动的体验编排,创造更好的客户体验。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,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世界的企业环境中的生产应用。

Genesys 高级人工智能解决方案架构师是一个资深的售前人工智能专家,负责三个核心方向:

  • 与客户和销售团队共同推动战略性人工智能机会
  • 通过可重用资产、技术赋能和指导,扩大现场影响力
  • 通过真实客户的现场反馈,塑造产品和市场进入策略

该职位需要兼具深厚的 AI 技术能力、出色的销售、沟通和高管叙事技巧,以及将复杂功能转化为清晰、可操作的业务价值的能力。
主要职责:

  • 为客户体验用例设计端到端的 AI 系统。构建可靠、可投入生产的 AI 解决方案,超越提示设计,结合大语言模型(LLM)、确定性工作流、工具和编排层。定义 AI 在整个旅程(自助服务、代理助手、旅程管理及后台自动化)中的交互方式,包括回退策略、人工交接和故障处理。
  • 优化检索增强生成(RAG)和知识架构,以扩展 Genesys 解决方案。设计可扩展的知识和检索策略,使 AI 响应基于企业数据。开发内容结构化、分块、嵌入和排序的方法,确保准确性、相关性和时效性。与客户合作,使 AI 输出与可信知识源保持一致,同时平衡性能、延迟和治理要求。
  • 建立 AI 评估框架和质量测量策略。定义 AI 驱动体验的成功标准,包括准确性、容错率、客户满意度和业务影响。创建测试集、评估方法和反馈循环,持续提升性能。将技术质量指标转化为业务相关的成果,以支持客户的决策和采用。

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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.

The Genesys Principal AI Solution Architect is a senior presales AI specialist who operates across three core motions:

  • Driving strategic AI opportunities with customers and sales teams
  • Scaling the field through reusable assets, technical enablement, and coaching
  • Shaping product and go-to-market direction through real-world customer and field feedback

This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.
Key Responsibilities:

  • Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
  • Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
  • Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
  • Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
  • Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.
  • Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
  • Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
  • Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.
  • Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.
  • Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.
  • Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
  • Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.
  • Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy.

Requirements:

  • AI Architecture & Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.
  • Enterprise Integration & Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.
  • Evaluation, Governance & Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
  • Executive Communication & Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.
  • Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.
  • Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.
  • Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.
  • Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.
  • Executive Presence: Proven ability to influence CIO/CTO decision-makers.
  • Strong understanding of the Genesys Cloud platform and Genesys AI preferred.
  • Foundational understanding of programming concepts (Python preferred).
  • Fluency in English and German languages.

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

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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