AI Architect

This role requires hands-on leadership,flexible collaboration across time zones, and the ability to mentor engineering teams.Product & Technical Strategy

• Architect end-to-end product solutions for processing clinical records, claims, andhealthcare documentation

• Design hybrid Azure/on-premises architectures supporting multi-tenant SaaS andenterprise deployment models

• Establish product architecture principles, design patterns, and technology stackdecisions

• Evaluate build-vs-buy decisions for AI capabilities, Drive technical feasibilityassessments 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 clearpresentations and documentation AI/ML Product Engineering

• 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 qualitybenchmarks

• Develop synthetic data generation capabilities for model training and testing

• Establish model versioning, A/B testing, and rollback strategies for productiondeployments Platform & Infrastructure

• Design microservices architectures with Azure Kubernetes Service, Service Bus, EventHubs for event-driven workflows

• Build scalable data pipelines using Azure Data Factory, Synapse Analytics, Databricks forhigh-volume processing

• Implement CI/CD automation through Azure DevOps with comprehensive testing anddeployment gates

Architect observability solutions: monitoring, logging, alerting, performance analytics

• Design hybrid cloud integration patterns connecting Azure services with on-premisessystems

• Manage data architecture: Azure SQL, Cosmos DB, blob storage, data lakes with lifecyclepolicies Delivery Excellence & Hands-On Leadership

• Lead proof-of-concept execution from inception to production-ready solutions withindefined timelines

• Conduct rigorous code reviews ensuring adherence to standards, performanceoptimization, and maintainability

• Roll up sleeves for critical implementation work: debugging production issues, optimizingmodel performance, refactoring complex modules

• Deliver technical demos to internal stakeholders and customers showcasing productcapabilities

• Establish engineering excellence standards: code quality, testing frameworks, peerreviews, documentation

• Create comprehensive technical documentation: architecture decision records, APIcontracts, deployment guides

• Identify and systematically address technical debt across AI models, infrastructure, andcodebase Team Development & Collaboration

• Mentor and develop junior engineers and fresh graduates through pair programming, andtechnical guidance

• Review and provide constructive feedback on designs, code, and technical approachesfrom team members

• Foster engineering culture emphasizing quality, innovation, and continuous learning

• Collaborate with US-based teams requiring flexibility for meetings during early morning orlate evening IST hours

• Bridge communication between offshore development teams and US-basedproduct/business stakeholders

• Translate business requirements from US teams intoactionable technical tasks for India-based engineers

• Participate in cross-timezone planning, sprint reviews, and architecture discussionsRequired Qualifications