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AI Solutions Engineer

Job

ITAC Solutions

Birmingham, AL (In Person)

$140,000 Salary, Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/4/2026

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Job Description

AI Solutions Engineer ITAC Solutions - 4.1 Birmingham, AL Job Details $150,000 a year 8 hours ago Qualifications AI models Systems integration AI platforms (beyond public GPTs) Machine learning projects Production systems Model deployment Integration Platforms (Enterprise solutions) Integration with Third-Party Services (system development) System deployment AI-driven automation Server configuration Full Job Description Join our client at a pivotal moment as they transform how professionals work through AI. This AI Solutions Engineer will have the opportunity to build enterprise-grade AI solutions from the ground up, creating intelligent agents, automations, and integrations that directly influence business operations, productivity, and innovation across the organization. C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future. Benefits & Extras Lead enterprise AI initiatives with significant visibility and influence Build custom AI agents and automation solutions that deliver measurable business value Partner directly with executive leadership and key stakeholders Work within a cutting-edge Microsoft AI ecosystem High-impact role with substantial ownership and autonomy Opportunity to evaluate and implement emerging AI technologies Comprehensive benefits package
Compensation:
$130-150K What You'll Be Doing Design, build, and deploy AI agents and agentic workflows using approved AI platforms Develop API-driven integrations across AI, Microsoft, and enterprise systems Configure and manage Model Context Protocol (MCP) server implementations Collaborate with business leaders to identify and deliver automation opportunities Manage AI solution delivery from intake through deployment and support Ensure governance, security, and compliance requirements are met across all solutions Evaluate new AI platforms and technologies for enterprise adoption What You'll Need to be Considered Experience building and deploying AI agents or agentic workflows in production environments Background in legal technology, professional services, or another compliance-sensitive environment Working knowledge of Model Context Protocol (MCP) server configuration and deployment Familiarity with ethical walls, conflict management systems, and matter-based security models Experience integrating large language model APIs and deploying enterprise AI platforms Exposure to legal practice management or billing system APIs within enterprise integrations INDIT