Principal Software Development Engineer

Enlyte combines innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. The Principal Software Development Engineer will lead the technical delivery of agentic AI solutions that connect AI agents with enterprise workflows, services, and productivity tools, while architecting, implementing, optimizing, and standardizing cross-platform solutions.

Responsibilities:

• Architect and deliver production-grade agentic AI solutions with cross-system orchestration
• Build autonomous agents with multi-step reasoning, tool use, and workflow execution
• Partner with Integration, Service Management, and Productivity teams to co-develop agentic solutions for shared employee journeys
• Drive hands-on implementation from design through deployment and optimization
• Establish reusable patterns, engineering standards, and best practices
• Mentor engineers and elevate technical capability across the team
• Design and deliver end-to-end agentic AI solutions spanning enterprise workflows and productivity platforms
• Architect complete agent workflows: intent → reasoning → orchestration → action → response
• Build reliable, observable, scalable implementations ready for enterprise production
• Lead solution design reviews for complex cross-platform use cases
• Build autonomous agents using LLMs, RAG, tool-use patterns, and multi-step reasoning
• Configure and extend agentic AI platforms; develop AI actions, intents, and knowledge pipelines
• Implement responsible AI controls - testing, guardrails, PII protection, and compliance
• Partner with Enterprise Integration, Service Management, and Productivity teams to co-develop agentic solutions that span multiple systems
• Work jointly with platform engineers to ensure AI agents integrate seamlessly with existing workflows, APIs, and data sources
• Facilitate technical alignment across teams on shared employee journeys and reusable components
• Participate in Architecture Council, joint sprint planning, and cross-team design reviews
• Establish best practices for agentic AI development, testing, deployment, and operations
• Design reusable integration patterns, API connectors, and event-driven architectures
• Conduct design reviews, mentor engineers, and drive productivity through automation and tooling

Requirements:

• • Bachelor's degree in Computer Science, Engineering, AI, or related field
• • 10+ years of professional software engineering or solutions engineering experience
• • 5+ years delivering integrated enterprise solutions across multiple platforms and systems
• • Hands-on experience building agentic AI solutions using LLMs, RAG, NLU/NLP, and orchestration frameworks
• • Experience with agentic AI platforms (Moveworks, ServiceNow AI Agents, Copilot Studio, or similar)
• • Strong proficiency in Python and cloud platforms (AWS, Azure, or GCP)
• • Experience with API design, event-driven architecture, and workflow orchestration
• • Demonstrated ability to work collaboratively across cross-functional teams in matrixed environments
• • Experience with enterprise service management, integration platforms, or Microsoft 365/Power Platform
• • Background in responsible AI practices, governance, and testing frameworks
• • Experience with knowledge graphs, enterprise search, or content management
• • Experience establishing engineering standards and influencing direction across teams