Job
Description
Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. Engineering Excellence Lead architecture, design, and development across AI agent workflows, cloud-native infrastructure, and healthcare applications. Champion modern engineering practices such as Infrastructure as Code (IaC), test automation, and performance optimization. As a Solution Architect, constantly assess infrastructure design for security, scalability, reliability, and cost and provide improvement recommendations. Cross-Functional Leadership Build and scale high-performing product and engineering teams. Collaborate with design, AI/ML, DevOps, and go-to-market teams to drive execution. Foster a culture of innovation, ownership, and continuous learning. Scalable Product Leadership Proven ability to build and scale products from MVP to enterprise-grade platforms across millions of users or transactions. Experience in product lifecycle management at scale from roadmap planning and prioritization to delivery and post-launch iteration. Strong product sense, with a data-informed approach to growth, engagement, and retention. Ability to balance speed of execution with long-term platform stability and compliance needs. Track record of launching AI-driven, cloud-native solutions in complex environments (e.g., healthcare, fintech, govtech). Technical Product Expertise Cloud: Deep and demonstrated GCP experience (AWS a plus), including tools like Compute Engine, App Engine, Cloud Pub/Sub, etc. Database: Deep experience with BigQuery and MongoDB to manage large-scale, high-throughput data workloads. DevOps: Expertise with CI/CD pipelines, containerization (Kubernetes, Docker), and IaC tools (Terraform, Ansible). Security: Strong grasp of cloud security, IAM, threat modeling, and compliance frameworks. Observability: Experience with real-time monitoring, alerting, and performance diagnostics. Healthcare Domain Knowledge Familiarity with PHI protection, FHIR, HL7, RCM workflows, and healthcare-specific AI applications. Proven ability to design products that meet administrative and regulatory standards. Understanding of the unique challenges in scaling tech within healthcare environments. Leadership Communication Exceptional communication and cross-functional collaboration skills. Experience mentoring teams across engineering, product, and operations. Ability to operate at both strategic and hands-on levels. Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field from a top university 10+ years of experience across engineering, product, or cloud platform roles, preferably in health tech. 5+ years of senior leadership experience in building and leading product-engineering teams. Experience in AI/ML platforms, cloud-native healthcare applications, or regulated SaaS environments. Proficiency in modern databases such as MongoDB, PostgreSQL, or other NoSQL/SQL technologies. Certifications in GCP/AWS, or equivalent are a strong plus. Strong preference for candidates based in Bangalore or willing to relocate.
