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Ai solutions engineer

Birmingham (West Midlands)
ITAC Solutions
Solutions engineer
€104,244 a year
Posted: 8 June
Offer 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


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
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