Jobs at Genesys

Lead the architecture and technical direction of global-scale conversational AI and agentic systems. Build evaluation, monitoring, safety, reliability, latency, and cost optimization capabilities for production LLM applications. Advance tool-using, multilingual, voice, multimodal, and multi-agent experiences; translate emerging research into production solutions; lead cross-functional initiatives; establish engineering standards; and mentor senior engineers.

Own the end-to-end UX and product design lifecycle, from discovery and research through prototyping, testing, developer handoff, QA, and release. Use AI coding and prototyping tools to create and validate live experiences, collaborate with product and engineering teams, contribute to design systems, ensure accessibility, and mentor junior designers. Apply research insights and product data to guide decisions for enterprise applications.

Design, develop, operate, and improve highly available Apache Kafka event-streaming platforms and distributed systems. Lead technical initiatives, build automation and tooling, troubleshoot complex production issues, and enhance scalability, performance, resilience, security, observability, and cost efficiency. Collaborate across engineering and analytics teams while contributing to architecture, code reviews, mentoring, documentation, and technical standards.

Own end-to-end architecture for enterprise AI-powered customer experience programs. Design secure, scalable integrations across Genesys Cloud, AI services, enterprise applications, data platforms, and third-party technologies. Lead architecture workshops, technical governance, responsible AI planning, and stakeholder discussions. Mentor consultants and develop reusable architectures, standards, and best practices while advising customers and delivery teams on virtual agents, agent copilots, knowledge systems, automation, and analytics.

Leads the technical direction of an application security team while remaining hands-on with vulnerability triage, detection engineering, cloud security, exploitability assessment, and security automation. The role oversees SAST, SCA, DAST, secrets scanning, mobile and cloud security coverage; investigates high-risk application and cloud issues; coordinates bug bounty and penetration-testing workflows; and develops AI-assisted processes for triage and false-positive reduction. Requires strong expertise in web, API, AWS, multi-tenant SaaS, software supply chain, and application security leadership.

Develop and operate cloud-based software components and services for conversational AI voice products. Responsibilities include designing and testing features, owning delivery through deployment, evolving architecture, contributing to product strategy, reviewing code, troubleshooting production issues, mentoring engineers, and improving team velocity. The role emphasizes Java, REST APIs, distributed systems, DevOps, CI/CD, AWS, microservices, and voice and language technologies.

Develop and operate cloud-based software components for AI-powered customer experience products. Own features from design through deployment, contribute to system architecture, lead cross-microservice development, review code, and mentor engineers. Research and benchmark text-to-speech and speech-to-text engines, assess architectural impacts of new technologies, contribute to product roadmaps, and uphold security, traceability, testing, and DevOps practices.

Leads a small team designing conversational AI experiences across voice and digital channels. Combines hands-on UX, conversation design, research, prototyping, and experience strategy with people management, coaching, hiring, and workforce planning. Partners with Product, Engineering, Research, Data Science, and AI teams to shape customer-centered experiences involving dialogue, context, recovery, escalation, trust, and human handoff. Guides priorities, critiques work, develops designers, and ensures AI experiences are evaluated through real customer interactions.

Design research-led conversational AI experiences across voice and digital channels. Lead discovery, user research, prototyping, and evaluation for multi-turn dialogue, context, clarification, recovery, trust, and human handoff. Partner with Product, Engineering, AI, Research, and Data Science to define interaction patterns, navigate ambiguity, and influence product direction through evidence, storytelling, and design rationale.

Build and operate highly available analytics platform services handling large-scale event streams and terabytes of data. Design streaming ingestion, storage, search, aggregation, and distributed systems using Java, Spring, AWS, and Kafka. Deploy and automate cloud infrastructure, improve reliability and performance, troubleshoot production incidents, and collaborate with engineering, product, and data teams. Contribute through code reviews, mentoring, testing, observability, and automation.