AI Automation Engineer/Applied AI Solutions Architect

Company: Ledgent Technology

Location: Houston, TX (Remote)

Salary: $115k - $140k per year

Type: Full-time

Remote: Yes

Posted: 2026-05-23

About this role

Title:
AI Automation Engineer/Applied AI Solutions Architect

Duration:
Direct hire

Location:
Remote in select locations (Houston, Austin, Dallas, San Antonio, Wash DC, Los Angeles, or San Fran.) Attend in office meetings periodically.

Salary Range:
115k-145k + Bonus

No C2C or 3rd Party Candidates

Summary

We are seeking an
AI Automation Engineer
to join our team focused on designing and deploying
enterprise AI and automation solutions
across internal business operations.

This role is centered on
building real, production-level AI workflows and applications
-not research or experimental model development.

Persons knowledgeable and having experience with:

· Designing and building
LLM-powered applications
using platforms such as
Azure OpenAI, OpenAI APIs, or similar tools

· Developing and deploying solutions within the
Microsoft ecosystem
, including
Power Platform (Power Automate, Power Apps), Copilot Studio, and Azure services

· Building
AI-driven workflow automation solutions
that streamline business processes and reduce manual effort

· Creating and deploying
AI assistants, copilots, or conversational interfaces
used in real-world business environments

· Developing
retrieval-augmented generation (RAG) pipelines
, including vector search, prompt orchestration, and AI-driven knowledge retrieval

· Owning solutions end-to-end, from
design and development through deployment and support in production environments

Other interests, knowledge, skills, and experience that are beneficial to this role include:

· Hands-on experience integrating AI solutions with
enterprise systems
, including document management, CRM, and Microsoft 365 platforms (Teams, SharePoint, Outlook)

· Experience working with
REST APIs and system integrations
to connect AI solutions with existing business applications

· Understanding of
data flow, system architecture, and orchestration
for large-sc...

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