Senior Principal, AI Software Engineer– Agentic & Industry Solutions

Senior Principal, AI Software Engineer – Agentic & Industry Solutions

Senior Principal, AI Software Engineer – Agentic & Industry Solutions

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.

Agentic AI Solution Development

• 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

Industry Solution Innovation

• 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

AI Architecture & Engineering

• 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

Innovation & Rapid Prototyping

• 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

Technical Leadership & Collaboration

• 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

• 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…