AI Automation Engineer
Listed on 2026-04-29
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IT/Tech
AI Engineer
Matrix Medical Management is looking for a full‑time AI Automation Engineer to join our team in our Bellaire office
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The AI and Automation Engineer is responsible for designing, developing, testing, deploying, and maintaining AI and automation solutions across the enterprise. This is a hands‑on individual contributor engineering role, with primary responsibility for delivering production‑grade solutions. The role builds Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI), configures Microsoft Dynamics 365, enables Microsoft 365 Copilot capabilities, and develops AI‑powered workflows in close partnership with Operations.
The AI and Automation Engineer is also responsible for supporting alignment of AI initiatives with organizational priorities, governance requirements, and operational readiness within a healthcare environment.
- Build, manage, and continuously refine a pipeline of AI use cases aligned to business priorities.
- Partner with stakeholders to identify high‑impact opportunities for AI‑driven efficiency, quality, and growth.
- Evaluate opportunities based on feasibility, risk, and return on investment.
- Coordinate cross‑functional review of AI initiatives with legal, compliance, IT, security, and data teams.
- Ensure adherence to organizational policies, regulatory requirements, and ethical AI standards.
- Support the development and enforcement of AI governance frameworks.
- Assess and recommend third‑party AI solutions in partnership with procurement and IT.
- Monitor vendor performance and alignment with business needs.
- Lead workflow‑focused implementation of AI solutions in partnership with business and technical teams.
- Design, build, and maintain Microsoft Power Apps and Power Automate flows that streamline operational workflows, including credentialing, intake, referral management, internal requests, and cross‑team handoffs.
- Develop Power BI dashboards for executive, operations, finance, and clinical leadership, with appropriate row‑level security and governed data sources.
- Configure and extend Microsoft Dynamics 365 for internal business use cases, including referral tracking, case management, and patient‑relationship workflows.
- Lead Microsoft 365 Copilot rollout, enablement, and measurement — train teams, build internal playbooks, and track utilization and time‑saved metrics.
- Design and maintain AI‑based workflows for HR, Finance, Legal, and executive teams, supporting use cases such as policy drafting, contract review, and document analysis.
- Drive change management and user adoption efforts to ensure successful deployment.
- Develop best practices and playbooks for scaling AI solutions across teams.
- Track outcomes, performance metrics, and business impact of AI implementations.
- Monitor post‑go‑live performance and identify opportunities for optimization.
- Report on AI program effectiveness to leadership.
- Perform other related tasks as needed.
- Knowledge of healthcare operations, including clinical and administrative workflows, and how AI and digital tools can be applied to improve them
- Understanding of AI applications in business environments, including use cases, limitations, risks (e.g., bias, hallucination), and responsible AI principles
- Knowledge of digital transformation, process improvement methodologies, and technology adoption lifecycle
- Knowledge of data privacy, security, HIPAA requirements, and AI governance, risk, and compliance frameworks
- Strong program and project management skills, including managing multiple concurrent initiatives and driving execution from pilot through enterprise scale
- Process improvement and workflow optimization skills, with a focus on operational efficiency and user experience
- Ability to evaluate and prioritize opportunities using business case development, ROI analysis, risk assessment, and KPI‑driven performance tracking
- Vendor evaluation and management skills, including assessment of third‑party AI solutions
- Strong communication skills, including the ability to translate complex technical concepts into clear business language
- Strong stakeholder engagement skills, with the ability to navigate complex…
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