AI Solutions Engineer

Position Overview

The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours with a hybrid model at the Inland Imaging Business Center. In this role, you will design, build, and deploy GenAI-powered tools and agents across our business operations. You will be hands-on with coding, AI integration, and workflow automation to streamline internal processes and boost productivity and quality. Work is performed in a hybrid remote setup based in Arlington, TX 76010.

Key Responsibilities

• Architect, build, and deliver complex AI agents and automation workflows tailored for medical imaging, business operations, and healthcare analytics.
• Lead development of generative AI models (e.g., fine-tuned large language models, diffusion models) and integrate with emerging AI APIs such as Anthropic Claude, OpenAI GPT‑4, and Google Gemini.
• Deploy AI models within production environments across cloud-native and edge platforms.
• Integrate AI-driven solutions with EMR/EHR systems, RIS, PACS, clinical workflows, and modern data infrastructures.
• Provide senior technical consulting to bridge AI capabilities with clinical needs and ensure proper handoff and support readiness.
• Collaborate with process owners to understand task logic, data flows, and integrate AI tools into existing business systems.
• Ensure security, data privacy, and include human-in-the-loop reviews as needed.
• Maintain and document AI systems for stability and reproducibility.
• Mentor mid-level and junior engineers, promoting clean coding practices, DevOps best practices, and responsible AI use.
• Perform other special projects and duties as assigned.

Required Qualifications

• Education: B.S. in Software Engineering, AI, Data Science or equivalent experience.
• Experience: 8+ years in the field, including 5+ years in AI/ML engineering and 3+ years in client-facing or consulting roles.
• Demonstrated experience deploying generative AI models in production (e.g., OpenAI, Anthropic, Stable Diffusion).
• Strong programming skills with Python (required); familiarity with JS, R, or similar languages is a plus.
• Excellent communication skills with the ability to explain technical concepts to clinical and operational teams.
• Willingness to travel approximately 10% to client sites and conferences.
• Experience with Microsoft Office Suite and hands-on familiarity with CI/CD pipeline tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI) is desired.
• Must be able to pass a mandatory background check and post-offer, pre-employment drug test.

Benefits & Perks

• 401(k)
• Dental Insurance
• Health Insurance
• Paid Time Off
• Vision Insurance