Principal Solutions Engineer

EnlyteUNAVAILABLE, UNAVAILABLE
Remote

About The Position

As a Principal Solutions Engineer on our Agentic AI team, you will be the technical delivery lead for intelligent solutions that connect AI agents with enterprise workflows, services, and productivity tools into seamless employee experiences. You will work collaboratively across teams to develop and deliver agentic solutions that span multiple platforms. 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.

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.
  • Python, JavaScript/TypeScript, Cloud Platforms (AWS/Azure/GCP)
  • LLMs, RAG, NLU/NLP, Agentic AI Frameworks
  • Agentic AI Platforms (Moveworks, ServiceNow AI Agents, Copilot Studio)
  • API Design, Event-Driven Architecture, Workflow Orchestration
  • AI Governance & Responsible AI
  • CI/CD, DevOps, Observability

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • Medical
  • Dental
  • Vision
  • Health Savings Accounts / Flexible Spending Accounts
  • Life and AD&D Insurance
  • 401(k)
  • Tuition Reimbursement
  • An array of resources that encourage a lifetime of healthier living
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