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.

Mission:

Design and lead the implementation of AI-powered customer experience solutions that achieve business outcomes while ensuring technical excellence, scalability, security, and operational readiness.

Our Professional Services organization is where AI strategy meets delivery. We are a globally distributed team of consultants, architects, and researchers united by a single purpose: helping enterprise customers realize the transformative potential of AI-powered customer experience — not in theory, but in production.

We operate across continents and time zones, bringing together deep technical expertise, design thinking, and industry knowledge from telecommunications, financial services, retail, and beyond. Our work spans the full spectrum of the practice: hands-on project delivery, rapid experimentation, applied research, and the development of reusable assets and reference architectures that raise the bar for the entire field. We believe the best solutions are built by people who are simultaneously curious and rigorous — willing to push boundaries in the lab and accountable for outcomes in the field.

We are now looking for a Solution Architect to join us as a senior technical voice in complex, high-stakes customer programs. If you thrive at the intersection of AI innovation and enterprise architecture, and you want your work to be felt by millions of end users, read on.

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 CCaaS / CPaaS 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/GraphQL APIs, event streaming, and identity/security protocols.
Experience leading

Lead AI Solutions Architect, Customer Success at Genesys