Principal, AI Software Engineer– Agentic & Industry Solutions

full time · Lead / Staff / Principal

$205,200 – $360,800

Listed on Genesys’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Build production-grade AI applications and industry solutions on the Genesys Cloud platform, combining conversational and agentic AI capabilities with enterprise integrations. This hands-on principal role is ideal for someone with deep Genesys Cloud expertise who can translate complex business processes into scalable, reusable solutions deployable across multiple customers and industries.

Our summary, not Genesys’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or related technical discipline
10+ years of software engineering, application development, or solution architecture experience
5+ years of hands-on Genesys Cloud experience designing, developing, integrating, and deploying applications
Deep understanding of Genesys Cloud architecture, APIs, Architect, routing, conversations, integrations, Data Actions, and event-driven capabilities
Strong hands-on experience with modern programming languages such as Python, JavaScript/TypeScript, or Java
Experience building AI-powered applications, conversational AI solutions, virtual agents, or agentic applications
Strong understanding of modern AI architectures including LLMs, RAG, AI agents, tool calling, and multi-agent systems
Demonstrated experience building reusable enterprise or industry solutions, not just one-off implementations
Experience translating complex industry business processes into technical architectures and production applications
Experience building applications using REST APIs, SDKs, webhooks, event streams, and microservices
Experience integrating Genesys Cloud with enterprise applications such as CRM, ITSM, ERP, and knowledge platforms
Experience translating AI capabilities into production-grade applications and reusable solutions
Experience taking solutions from prototype through production deployment and operation
Demonstrated ability to provide technical leadership while remaining deeply involved in architecture, design, coding, and implementation

Nice to have

Hands-on experience with Genesys Cloud AI capabilities including AI Studio, Virtual Agent, Copilot, Predictive Engagement, knowledge capabilities, and Experience Orchestration
Hands-on experience building production AI applications using Cognigy, Sierra, Decagon, Kore.ai, or similar enterprise conversational and agentic AI platforms
Experience developing custom applications using the Genesys Cloud Developer Platform
Experience with Genesys Cloud CX voice and digital channels including routing, Architect flows, bots, and messaging
Experience designing AI agents combining conversational intelligence, reasoning, knowledge retrieval, and tool calling
Experience building agentic AI applications that integrate LLMs with enterprise APIs and systems of record
Experience designing industry-specific AI applications for financial services, healthcare, insurance, retail, or public sector
Understanding of industry-specific business processes and regulatory requirements
Familiarity with AI development frameworks such as LangChain, Semantic Kernel, AutoGen, or CrewAI
Experience with cloud platforms and AI services such as AWS, Azure, or Google Cloud
Experience with enterprise platforms such as Salesforce, ServiceNow, or Microsoft Dynamics
Experience implementing security, scalability, observability, governance, and reliability for AI applications
Experience working in innovation teams, rapid prototyping, or customer co-creation programs