Thank you for considering a career at Ensemble Health Partners India!

Ensemble Health Partners - The single solution for a frictionless revenue cycle with the purpose of redefining the possible in healthcare by empowering people to be the difference. Our India Office is an extension of Ensemble’s team and culture designed to augment and enhance our talent and skill base in Revenue Cycle Management in addition to our long-standing presence in technology. Leveraging our platform of services, technology, business intelligence and analytics, our teams are creating and maintaining innovative products and systems to help our revenue cycle operators achieve the most efficient, ideal outcomes for our clients. Our teams are certified in revenue cycle best practices and are supporting end-to-end RCM operations. We are at the forefront of innovation using cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued, and your contributions will make a difference.

The Opportunity:

Job Title: Lead, AI
Experience: 8-11 Years
Location: Hyderabad and Bengaluru
Shift timing: 2:30 PM IST - 11:30 PM IST

Position Summary:

Ensemble Health Partners is looking for a highly experienced Lead – Analytics to join our AI Innovation group. This is a senior individual contributor and technical leadership role, focused on building production-grade AI and ML systems that transform healthcare revenue cycle management (RCM).

In this role, you will lead engineering excellence across analytics and ML platforms, drive agentic AI development, execute radical simplification of complex ML pipelines, and systematically reduce technical debt. You will work closely with architecture, product, compliance, and engineering teams to deliver scalable, secure, and high-impact AI solutions.

This role is ideal for someone who combines deep hands-on technical expertise with strong influence, mentorship, and a passion for clean, maintainable, and high-quality engineering.

Key Responsibilities:

1. Agentic AI Development

Design and implement agentic AI architectures that autonomously execute complex, multi-step RCM workflows
Build decision-making systems with strong guardrails, observability, and control mechanisms
Integrate autonomous AI agents with enterprise data platforms and revenue cycle systems
Evaluate and implement LLM-based and multi-agent frameworks for orchestration
Establish production-grade monitoring, logging, and incident response for AI agents




Partner with governance and compliance teams to ensure responsible AI deployment

2. Radical Simplification & Execution

Lead large-scale model consolidation initiatives, reducing client-specific ML models into generalized, reusable architectures
Simplify ML pipelines and reduce operational complexity across the analytics platform
Drive migration from self-managed Airflow to managed orchestration solutions
Identify and eliminate redundant systems, code, and processes to improve scalability and reliability
Document and evangelize simplification patterns across the organization

3. Code Craftsmanship & Engineering Excellence

Own and lead rigorous code review practices with a focus on quality, security, and maintainability
Create and maintain exemplar code libraries showcasing best practices and performance optimization
Define, implement, and enforce coding standards, design patterns, and Clean Architecture principles
Drive adoption of automated testing, CI/CD pipelines, and quality tooling
Champion security, Explainable AI (XAI), and responsible engineering as core principles
Mentor and upskill engineers through workshops, demos, and hands-on code reviews

4. Technical Debt Reduction

Conduct detailed technical debt assessments using static analysis and quality metrics
Prioritize and execute debt reduction initiatives aligned with business impact
Prevent future debt through strong engineering discipline and design reviews
Track and report technical debt metrics to leadership on a regular cadence

5. Cross-Functional Collaboration

Work closely with Architecture Leads to ensure alignment with Clean Architecture standards
Partner with Product, Compliance, and Security teams to deliver compliant AI solutions
Translate complex technical work into clear progress updates for business stakeholders
Lead cross-team knowledge sharing and technical communities of practice

Required Qualifications

8+ years of overall software engineering experience
5+ years in analytics, data science, or ML engineering roles
2+ years in a senior IC or technical lead role
Expert-level Python development with strong focus on production-quality code
Proven experience designing, deploying, and operating ML systems in production
Robust background in code reviews, quality standards,



and engineering best practices
Hands-on experience with ML pipelines, ETL workflows, and data platforms

Preferred Qualifications

Experience in healthcare revenue cycle management (RCM)
Exposure to agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel)
Experience with cloud-based ML platforms (Azure ML, Databricks, Azure Data Factory, or similar)
Strong understanding of Clean Architecture and system design (C4 or equivalent)
Experience with model generalization techniques (ensembles, transfer learning, multi-task learning)
Familiarity with AI governance and compliance frameworks (NIST AI RMF, ISO 42001, HITRUST)
Experience quantifying and remediating technical debt using static analysis tools

Why Choose Ensemble India?

People First, Last + Always

We believe in putting people at the heart of everything. Our culture is rooted in collaboration, growth and innovation—where your contributions are valued, your voice is heard and your potential is nurtured.

A Place to Thrive

Whether you're just starting out or looking to grow your career, Ensemble India is a place where you can do your best work and be your best self. We offer structured career paths, paid professional certifications, tuition reimbursement and mentorship opportunities to help you advance.

Comprehensive Total Rewards

We support the physical, emotional and financial well-being of you and your family. Our Total Rewards package include:

• Healthcare coverage for associates and their immediate families including parents

• Paid time off plans

• Retirement benefits

• Recognition and wellness programs

• Market competitive pay rates

Inclusive Culture

Our organization is deeply committed to fostering a positive environment and culture where we celebrate and reward merit and contribution and where every associate feels valued, included, and empowered to succeed.

Purpose-Driven Impact

We proudly partner with local communities through philanthropic initiatives—from school supply drives to health awareness campaigns—because giving back is part of who we are.

Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories.

📌 Lead, AI (India)
🏢 Ensemble Health Partners, India
📍 India