Salary
💰 $175,000 - $185,000 per year
Tech Stack
AngularAWSCloudETL.NETPythonPyTorchReactScikit-LearnSQLTensorflow
About the role
- Lead the next phase of MDaudit technological evolution across application development, AI-driven product innovation, and data integrations.
- Define and own the technical vision for AI, leading design, prototyping, and deployment of AI-driven solutions.
- Drive AI initiatives for organizational productivity, including customer support automation and engineering productivity accelerators.
- Stay abreast of emerging technologies and assess applicability to MDaudit’s roadmap (LLMs, cloud AI services such as AWS Bedrock, etc.).
- Oversee design and delivery of enterprise-grade applications ensuring scalability, performance, and reliability.
- Provide architectural and technical leadership across development stacks (e.g. .NET, SQL Server, React/Angular, AWS cloud native architectures).
- Build, lead and mentor high-performing onshore and offshore teams; manage vendor and partner ecosystems.
- Strengthen cross-functional partnerships with Product, Customer Experience, and Marketing to ensure execution and adoption.
- Collaborate with Security and Architecture teams to ensure solutions meet HITRUST and HIPAA compliance standards.
- Ensure AI innovations and roadmap features move from pilot to production with measurable customer and organizational impact.
- Define and track KPIs for adoption, scalability, customer outcomes, and productivity improvements.
- Establish repeatable frameworks for scaling successful pilots and champion change management and enablement.
Requirements
- 10+ years in technology leadership, with proven success across application development, AI/ML innovation, and data integrations.
- Strong experience managing onshore and offshore teams as well as vendor/partner ecosystems.
- Hands-on technical expertise with enterprise application stacks (e.g., .NET, SQL Server, React/Angular).
- Proven track record delivering AI/ML solutions using LLMs, MCP servers, Python-based libraries (e.g., PyTorch, TensorFlow, scikit-learn) and cloud AI services (AWS Bedrock preferred).
- Deep understanding of data engineering, ingestion, and integration practices (APIs, ETL pipelines, interoperability across third-party systems).
- Strong grasp of cloud-native architectures and scalable platform engineering (AWS preferred).
- Knowledge of security and compliance frameworks (HITRUST, HIPAA, SOC2) and experience building solutions that withstand customer security reviews.
- Demonstrated ability to bridge strategy and execution: setting technical vision, influencing product direction, and ensuring delivery excellence.
- Track record of driving projects from pilot to production with measurable adoption, scalability, and customer impact.
- Experience in healthcare technology or other regulated industries strongly preferred.
- Bachelor's degree in computer science or related field.