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Genzeon Logo Genzeon · IT - Software Development

Product Architect - AI/ML

India, Pune · Job Posted January 05, 2026
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Job Description

Product Architect - AI/ML. Define and drive the technical product vision for enterprise AI/ML platforms in healthcare, translating business requirements into scalable architectures while ensuring delivery excellence and long-term product sustainability. This role requires hands-on leadership, flexible collaboration across time zones, and the ability to mentor engineering teams.

Job Responsibility

  • Define and drive the technical product vision for enterprise AI/ML platforms in healthcare, translating business requirements into scalable architectures while ensuring delivery excellence and long-term product sustainability
  • Architect end-to-end product solutions for processing clinical records, claims, and healthcare documentation
  • Design hybrid Azure/on-premises architectures supporting multi-tenant SaaS and enterprise deployment models
  • Establish product architecture principles, design patterns, and technology stack decisions
  • Evaluate build-vs-buy decisions for AI capabilities, Drive technical feasibility assessments and rapid prototyping for new product features
  • Own non-functional requirements: performance, security, compliance (HIPAA), scalability, reliability
  • Present architectural proposals and technical roadmaps to leadership through clear presentations and documentation
  • Design and implement fine-tuning pipelines for domain-specific LLMs (e.g. Llama, Mistral, Phi-3) on medical datasets
  • Architect MLOps frameworks enabling continuous model improvement: training, evaluation, deployment, monitoring
  • Build “built-in-intelligence-products” using advanced AI models
  • Implement distributed training infrastructure on Azure ML with GPU optimization (RTX5090/4090/A100/H100 clusters)
  • Create model evaluation frameworks with domain-specific metrics and quality benchmarks
  • Develop synthetic data generation capabilities for model training and testing
  • Establish model versioning, A/B testing, and rollback strategies for production deployments
  • Design microservices architectures with Azure Kubernetes Service, Service Bus, Event Hubs for event-driven workflows
  • Build scalable data pipelines using Azure Data Factory, Synapse Analytics, Databricks for high-volume processing
  • Implement CI/CD automation through Azure DevOps with comprehensive testing and deployment gates
  • Architect observability solutions: monitoring, logging, alerting, performance analytics
  • Design hybrid cloud integration patterns connecting Azure services with on-premises systems
  • Manage data architecture: Azure SQL, Cosmos DB, blob storage, data lakes with lifecycle policies
  • Lead proof-of-concept execution from inception to production-ready solutions within defined timelines
  • Conduct rigorous code reviews ensuring adherence to standards, performance optimization, and maintainability
  • Roll up sleeves for critical implementation work: debugging production issues, optimizing model performance, refactoring complex modules
  • Deliver technical demos to internal stakeholders and customers showcasing product capabilities
  • Establish engineering excellence standards: code quality, testing frameworks, peer reviews, documentation
  • Create comprehensive technical documentation: architecture decision records, API contracts, deployment guides
  • Identify and systematically address technical debt across AI models, infrastructure, and codebase
  • Mentor and develop junior engineers and fresh graduates through pair programming, and technical guidance
  • Review and provide constructive feedback on designs, code, and technical approaches from team members
  • Foster engineering culture emphasizing quality, innovation, and continuous learning
  • Collaborate with US-based teams requiring flexibility for meetings during early morning or late evening IST hours
  • Bridge communication between offshore development teams and US-based product/business stakeholders
  • Translate business requirements from US teams into actionable technical tasks for India-based engineers
  • Participate in cross-timezone planning, sprint reviews, and architecture discussions

Requirements

  • Expert Python development with PyTorch, Transformers, production ML frameworks
  • Comfortable handling NVIDIA/CUDA variants and their inner workings
  • Proven experience fine-tuning LLMs and deploying custom models in regulated environments
  • Track record of shipping production AI products with measurable business impact
  • Core Software Engineering skills. AI/ML expertise, DevOps
  • Flexibility to work with US hours overlap
  • 12-15 years experience (Minimum 6-7 years in AI/ML Product Architecture)
  • Hands-on technical leadership and a user-centric approach to technical architecture
  • Ownership mindset with accountability for outcomes and the ability to balance innovation with pragmatic engineering
  • Effective communicator capable of engaging both technical and non-technical audiences
  • Comfortable operating at multiple levels: strategy, architecture, and implementation
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