Role & responsibilities

AI Architecture & Roadmap Ownership

- Own the end-to-end AI/ML architecture for RevHC's platform suite, including AI-assisted medical coding, claims automation, and agentic workflows.
- Define the technical roadmap for expanding AI-assisted coding initiatives.
- Set architectural direction for our Platform's one-data strategy, partnering with the Data Lead on the canonical data layer.
- Evaluate and select LLM providers, model frameworks, and inference infrastructure aligned to cost, latency, and accuracy requirements. Applied AI Delivery & Engineering Leadership
- Lead design and delivery of production AI features end-to-end from prototype through scaled deployment.
- Drive adoption of AI-driven engineering accelerators across the broader engineering team, building on the initial rollout to five engineers.
- Review model performance, confidence thresholds, and human-override logic before features go to production.
- Partner with the Agentic AI Engineer to architect the agent platform and define the boundaries of autonomous vs. human-in-the loop actions. AI Governance, Explainability & Compliance
- Own AI Governance & Data Discipline deliverables, including RevHC's pursuit of ISO 42001 certification.
- Define explainability, audit-trail, and human-oversight standards for every AI feature shipped.
- Establish guardrails, monitoring, and escalation protocols for AI systems operating in a regulated, healthcare-adjacent environment.
- Partner with the Tech Compliance function (as it is staffed) on HIPAA/SOC 2-aligned AI controls. Team Leadership & Cross-Functional Engagement
- Build, mentor, and grow the AI Engineering pod currently the Senior AI Engineer, AI Engineers, Junior AI Engineers, and Agentic AI Engineer.
- Represent AI Engineering in leadership reviews, budget planning, and roadmap prioritization discussions.
- Partner with Product/BA, Data Engineering, and QA to align AI feature delivery with platform and client commitments.
- Own hiring, technical interviewing,



and onboarding for future AI Engineering roles.

NON-NEGOTIABLE REQUIREMENTS
- 8+ years of hands-on experience in AI/ML engineering, with at least 23 years in a technical leadership or architecture role.

Proven experience designing and shipping production-grade AI/ML systems not just proofs of concept including LLM-based or GenAI applications.
- Strong Python engineering skills and deep familiarity with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).
- Working knowledge of MLOps practices model versioning, deployment pipelines, monitoring, and retraining workflows.
- Experience with cloud AI/ML infrastructure (Azure preferred, AWS/GCP acceptable) and vector search / RAG architectures.
- Demonstrated ability to translate ambiguous business problems into AI system design you've owned architecture decisions, not just implementation.
- People leadership experience has managed or mentored a team of AI engineers.
- Excellent written and verbal English for leadership, client, and cross-functional communication.

SOLID DIFFERENTIATORS
- Experience in the US healthcare / RCM domain (medical coding, claims, billing, or payer workflows) is a strong plus not mandatory.
- Prior experience building AI governance frameworks or navigating AI compliance standards (ISO 42001, NIST AI RMF, or equivalent).
- Experience architecting agentic AI systems multi-agent orchestration, tool use, autonomous decisioning with human oversight. Background in a product company shipping AI features at scale, not just services or consulting.
- Exposure to medical coding taxonomies (ICD-10, CPT) or clinical NLP is valuable but not required.

Preferred candidate profile 8–10 years in AI/ML engineering, including architecture and technical leadership.

Manages -Senior AI Engineer, AI Engineers, Junior AI Engineers, Agentic AI Engineer , works with VP – Technology, Data Lead, Program Lead, Ops Team, QA Lead

Location: Hyderabad, Onsite

Interested Candidates Kindly reach out:

HR Keerthi

(phone hidden)

[email protected]

📌 Lead AI Engineer (Hyderabad)
🏢 Data Marshall
📍 Hyderabad