Senior Engineer, AI

• Design, develop, and deploy analytics and AI solutions aligned with business priorities
• Perform advanced data analysis to generate actionable insights and recommendations
• Build and maintain production‑ready models and analytical pipelines
• Collaborate with cross‑functional stakeholders to ensure solution relevance and impact
• Apply best practices for code quality, testing, documentation, and performance
• Support continuous improvement of analytics frameworks and standards
• Mentor junior team members through informal guidance and reviews

This role may require additional responsibilities aligned to business priorities.

Required Skills

• Strong proficiency in SQL and Python for analytics and modeling
• Hands‑on experience with AI/ML concepts, predictive modeling, and feature engineering
• Experience working with cloud data platforms (Azure preferred)
• Exposure to Databricks, data lakes, and large‑scale datasets
• Familiarity with automation tools and modern analytics workflows
• Strong understanding of data quality, validation, and governance practices
• Strong problem‑solving and analytical thinking
• Ability to communicate insights clearly to technical and non‑technical stakeholders
• High ownership mindset with the ability to work independently
• Comfort operating in a fast‑paced, ambiguous environment

Experience & Education

• 6–9 years of experience in analytics, data science, or applied AI roles
• Experience delivering analytics or AI solutions in production environments
• Background in healthcare, RCM, or regulated industries is a plus
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or equivalent field