Sr. Principal AI Software Engineer
Location - TX (Remote)
Role Type: Fulltime

Job Description
Be the one building AI-powered experiences where they matter most.
The client 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.

Senior Principal, AI Software Engineer- Agentic & Industry Solutions

Qualifications:
• 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

Purpose:
The Principal Architect and AI Engineer - Agentic & Industry Solutions is a highly technical, hands-on leader responsible for designing, building, and scaling transformative AI-powered solutions on Genesys Cloud. Working within the Innovation Solutions organization, this role drives the development of reusable Agentic AI capabilities, industry-specific solution accelerators, and intelligent workflow automation that enable organizations to fundamentally transform customer and employee experiences. The Principal Architect and AI Engineer provides technical leadership and expertise across architecture, development, and solution delivery, collaborating with Product, Engineering, Strategic Customers, Industry SMEs, and Technology Partners to convert emerging AI technologies into scalable, market-leading solutions.

Pre-Screening Questions
Q1: Have you personally designed and deployed an AI or conversational orchestration solution that currently handles production traffic in a live enterprise environment?
Q2: Have you built applications using advanced multi-agent or orchestration frameworks like LangGraph, CrewAI, or Semantic Kernel?
Q3: In your previous roles, have you developed reusable solution accelerators, modular frameworks, or technical assets designed to be shared across multiple engineering teams or industry verticals?
Q4: Do your technical designs frequently incorporate advanced RAG patterns, vector databases, or enterprise knowledge graphs integrated with systems like CRMs or ERPs?