Public listing

Chief Technology Officer, Healthcare AI

Flexiple Chennai, Tamil Nadu, India (Hybrid)
  • Experience15+ yrs
  • Work modeHybrid
  • ListedPosted 7 hours ago
  • SourceLinkedin

Role overview

About the role

Description supplied by the original job listing.

Hiring for Moative — via Flexiple, the recruiting partner on this role.
About the Company
Moative is an AI company that partners with mid-market businesses in asset-heavy, regulated industries to co-build industry-specific agentic and machine-learning solutions, then scales them across the industry through revenue-share and equity-linked models. The founders have built and sold two companies, one of them in AI, and the 20+ person team of AI/ML engineers, data scientists and mathematicians comes from IITs, IISc, CERN, UZH and IBM Research. Its healthcare business builds AI agents that run revenue-cycle and administrative work for US healthcare practices.
About the Role
As CTO for Moative's healthcare business, you'll lead technology for an AI management services organisation (AI MSO) for US healthcare practices. It combines operational expertise, data infrastructure and AI to manage and improve revenue-cycle and administrative workflows, automating tasks progressively with clear controls and human accountability. You'll own technology strategy, platform architecture and the engineering organisation, and stay hands-on in architecture, prototypes, code reviews and hard production problems. The role is based in Chennai (Bengaluru is possible), hybrid with 3 days a week in person with the founders and the healthcare AI pod.
What you'll do
Own technology strategy, platform architecture and engineering standards for the healthcare AI MSO
Work with founders, practice owners and billing leaders to assess workflows, set baselines and prioritise by business value and feasibility
Design solutions across EHRs, practice-management systems, clearinghouses and payer portals, covering payer-portal agents, voice payer follow-up, denial management and payment posting
Define the practice data architecture: claims, remittances, EOBs and denial codes as validated, traceable data, with isolation between practices and de-identified analytics
Set healthcare privacy, security and compliance controls, plus production evaluation, monitoring, escalation and release criteria
Make build-versus-buy, vendor and model decisions, and own engineering and infrastructure budgets
Hire and develop engineers, data scientists and technical leads, and represent Moative's technology to practice owners, partners and investors
What you bring
15+ years of engineering and technology leadership, with recent hands-on architecture, prototyping and production troubleshooting
You've built and scaled a product or technology business as a founder, CTO or senior engineering leader, with clear customer adoption and commercial results
Experience delivering healthcare or RCM products, with a practical grasp of billing workflows, claim submission, payer interactions, denials, appeals and payment posting
You've led teams that deploy and support AI in live operations, including LLM applications or agents with evaluation, monitoring and human escalation
Deep experience integrating and modelling fragmented operational data, including multi-customer platforms with clear data isolation
Strong Python, SQL and cloud architecture on AWS, Azure or GCP
Technical controls for sensitive healthcare data: access management, audit trails, secure logging, vendor access and incident response
Experience owning technology budgets and working directly with CXOs, founders and investors
Nice to have
Building for US outpatient practices, MSOs or RCM companies
Taking a company through an acquisition, merger or exit, including technical diligence
Turning services engagements into reusable products
Healthcare data exchange (claims, remittances, EHR, clearinghouses), process mining, or browser and voice agents for operations
Originally posted on: 30 Oct 2026

Skills
Python, AWS, Azure, GCP, SQL, LLM, Prototyping

Experience
15+ yrs

Work arrangement
Hybrid

Skills from the listing

  • Python
  • AWS
  • Azure
  • GCP
  • SQL
  • LLM
  • Prototyping

Your early-applicant advantage

How quickly JobBeeper finds and shares openings.

22 min from Linkedin publishing this role to us finding it
17 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
75,337 roles found in the last 24 hours
See available plans →

Job alerts

Get notified about new openings

Set your preferences and JobBeeper will send matching roles as it finds them.

Create free account
Log in to apply