Senior Principal, AI Software Engineer – Agentic & Industry Solutions

Genesys

Senior Principal AI Software Engineer at Genesys driving AI solution development and innovation across industries. Leading team initiatives to scale transformative AI-powered solutions on Genesys Cloud.

Posted 6/29/2026full-timeNorth Carolina, Texas • 🇺🇸 United StatesSenior💰 $205,200 - $360,800 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudERPJavaScriptMicroservicesPythonTypeScript

About the role

Key responsibilities & impact

Design, build, and deploy Agentic AI solutions leveraging Genesys Cloud, AI Studio, Copilot, Architect, and Experience Orchestration capabilities
Develop reusable AI Skills, Agents, Copilots, and workflow automation assets that can be deployed across customers and industries
Build multi-agent workflows that coordinate AI agents, business applications, knowledge systems, and human interactions
Create intelligent automation solutions that improve customer experience, employee productivity, and operational efficiency
Develop production-grade AI applications using modern AI frameworks, orchestration platforms, and cloud-native architectures
Design and develop industry-specific AI solution accelerators and reusable business capabilities
Partner with industry SMEs and strategic customers to identify high-value business use cases suitable for Agentic AI automation
Create repeatable solution blueprints for industries including Financial Services, Healthcare, Insurance, Retail & E-Commerce, Telecommunications, and Public Sector
Build reusable business workflows, AI assistants, and orchestration patterns that address industry-specific challenges
Develop packaged innovation assets that accelerate deployment and time-to-value
Define scalable architectures for Agentic AI applications and intelligent workflow automation
Build Retrieval-Augmented Generation (RAG) solutions, knowledge orchestration frameworks, and enterprise AI integrations
Design and implement integrations with CRM, ERP, CCaaS, knowledge management, workforce engagement, and enterprise workflow platforms
Develop API-first architectures and event-driven solutions leveraging Genesys Cloud APIs and enterprise ecosystems
Establish best practices for AI solution design, performance, observability, security, and governance
Evaluate emerging AI technologies and determine their applicability to innovation initiatives
Build proof-of-concepts, prototypes, and MVPs that validate new business opportunities and technical approaches
Rapidly experiment with emerging frameworks, tools, and architectural patterns
Contribute to innovation labs, customer co-innovation initiatives, and strategic transformation programs
Transform innovative concepts into scalable and reusable solution offerings
Provide technical leadership for strategic innovation initiatives and customer engagements
Collaborate with Distinguished Architects, Product teams, Engineers, and Industry Specialists to deliver innovative solutions
Mentor engineers and architects on AI solution design, development practices, and emerging technologies
Participate in architecture reviews, technical design sessions, and innovation workshops
Contribute to reusable frameworks, reference architectures, technical documentation, and intellectual property development

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related discipline; Master's degree preferred
10+ years of experience in software engineering, solution architecture, enterprise integration, or cloud-native application development
5+ years of experience designing and implementing AI, Conversational AI, automation, or workflow orchestration solutions
Strong hands-on development experience building scalable enterprise applications
Proven ability to move solutions from concept and prototype through production deployment
Demonstrated technical leadership skills and ability to mentor engineers and architects
Strong communication and stakeholder engagement skills with ability to collaborate across Product, Engineering, and Strategic Customer teams
Experience building Agentic AI platforms, copilots, virtual agents, digital assistants, or intelligent automation solutions
Experience creating reusable solution accelerators, frameworks, and industry-specific assets
Understanding of industry processes within Financial Services, Healthcare, Insurance, Retail, Telecommunications, or Public Sector is a plus
Contributions to technical communities, open-source projects, patents, or innovation initiatives is a plus
Candidates must have willingness to travel as necessary; a valid passport is required
Technical proficiency in the following is not necessary, but a plus: Genesys Cloud Architecture, AI Studio, Copilot, Architect, Journey Management, Experience Orchestration, APIs and Event Frameworks Multi-Agent Systems, AI Skills and Agent Development, LLM Integration, RAG Architectures, Knowledge Systems, AI Workflow Automation AI Frameworks such as LangGraph, CrewAI, Semantic Kernel, LangChain, AutoGen, OpenAI APIs, Anthropic APIs, AWS Bedrock Python, JavaScript/TypeScript, REST APIs, Event-Driven Architectures, Microservices, Cloud platforms (AWS, Azure, Google Cloud)
Expertise with RAG architectures, vector databases, knowledge orchestration, and enterprise search solutions
Experience integrating AI solutions with CRM, ERP, Service Management, and enterprise workflow platforms

Benefits

Comp & perks

Medical, Dental, and Vision Insurance.
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off in addition to 10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Software EngineeringAI Application DevelopmentEnterprise IntegrationAutomation SolutionsScalable Application DesignAPI DevelopmentEvent-Driven ArchitecturesMicroservicesRAG ArchitecturesKnowledge Orchestration

Soft Skills

Strong CommunicationStakeholder EngagementCollaboration

Certifications

Bachelor's Degree in Computer ScienceMaster's Degree Preferred