Applied AI Solutions Engineer

About Master Control

Master Control Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The Master Control Platform helps organizations digitize, automate and connect quality and compliance processes across the regulated product development life cycle. Over 1,000 companies worldwide rely on Master Control solutions to achieve new levels of operational excellence across product development, clinical trials, regulatory affairs, quality management, supply chain, manufacturing and postmarket surveillance.

For more information, visit

We are seeking an innovative and AI-driven Applied AI Solutions Engineer to join our internal Data & AI team. This role is at the forefront of how our organization leverages artificial intelligence — from building intelligent data pipelines and AI-powered workflows to designing dashboards that surface both AI-generated insights and critical business metrics. Partnering with stakeholders across multiple business units, you will be a key driver in shaping our AI foundation, working hands‑on with cutting‑edge tools like Claude Code to automate processes, engineer prompts, and deliver real business value through applied AI/data solutions.

• Design, develop, and deploy AI/Data workflows and solutions using Claude Code, LLMs, and prompt engineering to automate internal processes and solve complex business challenges
• Engineer, manage, and version-control AI prompts, incorporating stakeholder feedback to continuously improve AI performance and accuracy
• Connect to and integrate data from a variety of internal and external sources, building and maintaining SQL transformation pipelines to prepare, clean, and structure data for AI consumption and business reporting
• Partner with cross-functional team members and executives to understand business needs, identify and prioritize AI use cases, and define reporting solutions (Domo KPIs and dashboards) that support data-driven decision-making
• Troubleshoot and support internal AI platforms, tools, and data pipelines
• Document solution designs, prompt configurations, data flows, and implementation processes to support knowledge transfer and transparency
• Stay current with emerging AI tools, models, and best practices to continuously bring new ideas and capabilities to the team

• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Statistics, Information Systems, or a related field
• Demonstrated hands‑on experience with Large Language Models (LLMs), including prompt engineering, model optimization, and AI workflow development
• Proficiency in SQL — experience with any flavor of SQL is welcome (e.g., MySQL, PostgreSQL, Redshift, SQL Server, etc.), with working knowledge of MySQL and Amazon Redshift being a plus
• Experience working with Claude or similar LLM platforms, including Claude Code for AI-driven development
• Hands‑on experience with Domo or comparable BI and data visualization platforms, including dashboard design and KPI tracking
• Ability to work closely with stakeholders to gather requirements and translate business needs into clear, effective data visualizations
• Strong analytical and problem‑solving skills with close attention to detail
• Excellent communication skills with the ability to explain AI concepts and data insights clearly to non-technical stakeholders
• Genuine passion for AI, automation, and finding practical AI applications that drive real-world impact

• Experience developing and deploying AI-powered applications or internal AI products
• Familiarity with AI frameworks such as Tensor Flow, PyTorch, or Hugging Face
• Experience integrating AI solutions with enterprise systems via APIs or data pipelines
• Knowledge of containerization technologies (Docker, Kubernetes)
• Background in a consulting, professional services, or stakeholder-facing technical role
• Project management experience or certification
• Working knowledge of AWS cloud services, particularly those relevant to AI/ML deployments