AI Engineer

Global Medical Response•Lewisville, TX

8d•Hybrid

About The Position

We are seeking a skilled and motivated AI Engineer to design, build, test, and deploy AI and machine learning solutions that address real business problems. This role is a hands-on engineering position focused on developing production-ready AI capabilities, integrating models and agents with enterprise systems, and collaborating with cross-functional partners to deliver secure, scalable, and responsible AI solutions. The ideal candidate brings strong software engineering fundamentals, practical AI/ML experience, and the ability to translate business needs into working technical solutions.

Requirements

Strong software engineering fundamentals
Practical AI/ML experience
Ability to translate business needs into working technical solutions
Experience with Azure AI tools such as Foundry, Azure Databricks, AI Search, or similar
Experience with SDLC and Agentic Development tooling such as Azure Dev Ops, Git Hub, Git Hub Copilot, Claude Code, Codex
Multi-Cloud experience – Experience developing for Multi-Cloud or with similar tooling across AWS or GCP

Responsibilities

Design, develop, test, and deploy AI-enabled solutions, including machine learning models, generative AI applications, copilots, agents, and workflow automations.
Build integrations between AI solutions and enterprise systems using APIs, connectors, governed data sources, and secure authentication patterns.
Develop model training, evaluation, prompt engineering, grounding, and retrieval-augmented generation patterns as appropriate for business use cases.
Create reusable technical assets such as prompt libraries, agent templates, automation patterns, deployment scripts, and solution documentation.
Collaborate with product owners, business stakeholders, architects, data teams, and security partners to clarify requirements and deliver practical AI solutions.
Participate in architecture reviews, peer reviews, testing, deployment planning, and change management processes.
Monitor AI solution performance, troubleshoot production issues, and support continuous improvement of deployed capabilities.
Apply responsible AI, privacy, security, and compliance standards throughout solution design, implementation, and support.
Stay current on AI engineering tools, cloud services, model capabilities, and industry practices, and apply relevant learnings to improve solution delivery.