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AI/ML Solutions Architect
AI/ML Solutions ArchitectThinkWise Consulting LLP • Pune, Republic Of India, IN
AI / ML Solutions Architect

AI / ML Solutions Architect

ThinkWise Consulting LLP • Pune, Republic Of India, IN
1 day ago
Job description

Product Architect - AI / ML

Location : India / Offshore

Experience : 12-15 years (Minimum 6-7 years in AI / ML Product Architecture)

Location : -Pune preferred / Hyderabad (4 Days WFO)

Role Overview

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.

Product & Technical Strategy

  • 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 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 quality
  • benchmarks

  • Develop synthetic data generation capabilities for model training and testing
  • Establish model versioning, A / B testing, and rollback strategies for production
  • deployments Platform & Infrastructure

  • 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 Delivery Excellence & Hands-On Leadership

  • 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 Team Development & Collaboration

  • 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
  • Required Qualifications

  • [Non Negotiable] Expert Python development with PyTorch,
  • Transformers, production ML frameworks

  • [Non Negotiable] Comfortable handling
  • NVIDIA / CUDA variants and their inner workings.

  • [Non Negotiable] Proven experience fine-tuning LLMs and deploying custom models in
  • regulated environments

  • [Non Negotiable] Track record of shipping production AI products
  • with measurable business impact

  • [Non Negotiable] Core Software Engineering skills. AI / ML expertise, DevOps.
  • [Non Negotiable] Flexibility to work with US hours overlap Key Competencie
  • 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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