Senior Principal, AI Software Engineer - Agentic & Industry Solutions

Responsibilities

• 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

• 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