Lead Associate, Analytics

Job Title

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

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

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

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

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

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

Strong background in code reviews, quality standards, and engineering best practices

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

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

Opportunity to build next-generation AI systems in healthcare

High ownership and autonomy in a senior technical leadership role

Strong visibility with senior and executive leadership

Access to learning platforms, certifications, and professional development budgets

Clear growth path toward senior technical and architectural leadership roles

Why Join US?

We adapt emerging technologies to practical uses to deliver concrete solutions that bring maximum impact to providers’ bottom line. We currently have 10 Technology Patents in our name.

We offer you a great organization to work for, where you will get to do best work of your career and grow with the team that is shaping the future of Revenue Cycle Management.

We have our strong focus on Learning and development. We have the best Industry standard professional development policies to support the learning goals of our associates.

We have flexible/ remote working/ working from home options