Principal Agentic AI Solutions Engineer - Remote

Genex Services, LLC; United States; Remote; USD 119,000 - 165,000; Full time

Job summary

Enlyte is seeking a Principal Solutions Engineer to lead the delivery of autonomous AI solutions that connect AI agents with enterprise workflows and productivity tools. You will architect end-to-end agentic AI solutions, ensuring they are production-grade and scalable across multiple platforms.

The role requires 10+ years in software/solutions engineering, 5+ years delivering integrated enterprise solutions, and strong Python and cloud platform skills.

Qualifications

• Bachelor’s degree or higher in CS, Engineering, AI, or related field.
• 10+ years of professional software or solutions engineering experience.
• 5+ years delivering integrated enterprise solutions across multiple platforms.
• Hands-on experience building agentic AI solutions using LLMs, RAG, NLU/NLP, and orchestration frameworks.

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.

Skills

LLMs

RAG

NLU/NLP

Python

Cloud platforms

API design

Event-driven architecture

Workflow orchestration

CI/CD

DevOps

Observability

Governance & Responsible AI

Education

Bachelor’s degree in Computer Science, Engineering, AI, or related field

Tools

Moveworks

ServiceNow AI Agents

Copilot Studio

Job description

Enlyte is seeking a Principal Solutions Engineer to lead the delivery of autonomous AI solutions that connect AI agents with enterprise workflows and productivity tools. You will architect end-to-end agentic AI solutions, ensuring they are production-grade and scalable across multiple platforms.

The role requires 10+ years in software/solutions engineering, 5+ years delivering integrated enterprise solutions, and strong Python and cloud platform skills.