Key Responsibilities Solution Architecture – Define end-to-end AI solution architectures for customer programs. Design integrations between Genesys Cloud, AI services, enterprise applications, data platforms, and third-party technologies. Establish architectural standards for scalability, resilience, security, and maintainability. Review and approve technical designs produced by project teams. Technical Leadership – Serve as the technical authority for assigned customer engagements. Guide consultants and implementation teams through complex technical challenges. Lead architecture workshops and technical design sessions with customers. Provide governance throughout delivery to ensure alignment with the approved architecture. AI & Data Design – Design AI use cases including virtual agents, agent copilots, knowledge systems, workflow automation, and analytics solutions. Define data requirements, integration patterns, and AI governance considerations. Ensure responsible AI practices are incorporated into solution designs. Customer Engagement – Advise customer technical stakeholders on architecture decisions and trade-offs. Present technical recommendations to enterprise architects, IT leaders, and platform owners. Build trusted-advisor relationships with customer technical teams. Practice Contribution – Contribute reusable assets, reference architectures, and best practices. Mentor consultants and senior consultants. Support presales activities for complex technical opportunities. Typical Scope – Large customer implementation; Single strategic program; Technical lead for a major deployment. Influences project and account-level decisions. Qualifications 7+ years of experience in solution architecture, technical consulting, or enterprise software delivery, with at least 3 years focused on AI or conversational / CX platforms. Hands-on familiarity with Genesys Cloud or comparable CCaa S / CPaa S platforms, including routing, digital channels, and developer APIs. Proven track record designing and deploying AI-powered solutions — virtual agents, LLM-based copilots, knowledge management systems, or predictive analytics — in production environments. Solid understanding of cloud architecture patterns (AWS, GCP, or Azure) and integration technologies such as REST/Graph QL APIs, event streaming, and identity/security protocols. Experience leading architecture design sessions, producing technical documentation, and presenting to senior technical and non-technical stakeholders. Comfort operating in a global, matrixed professional services environment — managing scope, quality, and customer relationships simultaneously. Strong communication skills: able to translate complex technical concepts for business audiences and business requirements into precise architectural decisions. Familiarity with responsible AI principles, data governance, and security-by-design practices in enterprise contexts. Industry experience in telecommunications, financial services, or airlines is a plus.
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. #J-18808-Ljbffr