Senior Engineer, AI

Job Title: Senior Engineer, AI

Experience: 6-9 Years

Job Location: Hyderabad and Bengaluru (Hybrid)

Company Overview:

Ensemble Health Partners India is at the forefront of innovation in the Revenue Cycle Management (RCM) space, leveraging modern technology to drive meaningful, real‑world impact. Our future‑ready platforms combine AI‑driven analytics, intelligent data ingestion, workflow automation, and business intelligence, built on a scalable, cloud‑native architecture.

Our AI‑powered solutions run in production environments, continuously optimizing processes and delivering actionable insights at scale. With the second‑largest market share in the U.S. RCM industry, a global workforce of 15,000+ professionals, and 12 technology patents, Ensemble delivers results through strong teams, mature processes, and modern technology platforms.

As part of our growth strategy, we have launched a Global Capability Center (GCC) in Hyderabad, serving as a strategic extension of our global operations. The GCC brings together technology, analytics, and RCM expertise to accelerate innovation and support our long‑term vision of transforming healthcare operations.

At Ensemble, we foster a culture of ownership, collaboration, and high performance, where your expertise is valued and your work creates measurable business impact.

Position Overview:

The Senior Engineer, AI is a key individual contributor within Ensemble’s Analytics and AI organization. This role is responsible for translating complex business and operational challenges into scalable analytical, AI, and automation solutions.

The Senior Associate partners closely with Product, Engineering, and Operations stakeholders to design, build, and deploy analytics and AI models that enhance decision‑making, reduce friction across revenue cycle workflows, and enable measurable operational outcomes. The role operates with a high degree of ownership, contributing independently while aligning with architectural patterns and quality standards defined by Leads and Managers.

Roles & Responsibilities

• 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

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
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Senior Engineer, AI will contribute to high‑priority initiatives including:

• Frictionless RCM Initiatives
  Ownership of analytics and AI solutions aimed at reducing revenue cycle friction and improving operational efficiency; includes model development, pipeline execution, and milestone delivery.
• Advanced Analytics & AI/ML Development
  Design, build, test, and enhance predictive models, scoring frameworks, and analytical features supporting production workloads.
• Agentic AI & Automation Enablement
  Contribution to the design and implementation of analytical logic within autonomous and semi‑autonomous AI agents under Lead direction.
• Emerging Technology Adoption
  Evaluation and applied use of Microsoft Copilot, MCP, Power Automate, and Azure AI services to enhance analytics productivity and embed intelligence into workflows.
• Code Quality & Analytics Standards Uplift
  Active participation in elevating engineering and analytics standards through clean code, structured peer reviews, and application of technical feedback.