AI Automation Engineer/Applied AI Solutions Architect

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

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-scale automation solutions

Familiarity with AI governance, security, and responsible AI practices, particularly in environments handling sensitive or regulated data

Experience working in professional services, legal, financial services, healthcare, or other regulated industries

Exposure to Dev/Test/Prod environment management, CI/CD pipelines, and version control systems (Azure DevOps, GitHub)

Ability to design scalable, maintainable solutions that are actively used by business stakeholders-not just prototypes.

This position requires the employee to possess the following traits:

Being a self-starter - able to take ownership of AI solutions from concept through production with minimal direction

Strong problem-solving ability - translating ambiguous business needs into practical, scalable technical solutions

Being collaborative and business-oriented - comfortable working directly with non-technical stakeholders to design usable solutions

Disciplined work ethic - delivering high-quality solutions within timelines in a fast-paced environment

Positive and professional approach - representing strong communication, accountability, and teamwork

This role is not a fit for candidates whose experience is primarily in:

• Machine learning research or model training
• Data science or academic AI work
• Experimental or non-production AI development, This role may be performed in a remote environment within reasonable proximity to a major U.S. metro area for occasional collaboration as needed.

Some flexibility may be required to meet project deadlines or support production systems.

Compensation & Benefits

This position is eligible for:

• Health, Dental, and Vision coverage
• FSA and supplemental insurance options
• 401K
• PTO

Compensation range: $110K - $140K depending on experience

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