Product Architect

Product Architect – AI/ML (AI Architect)

Experience:

Location:

Duration:

Joiners:

Key Skills Highlighted JD

Role Overview

Lead the technical product vision and architecture for enterprise healthcare AI/ML platforms. Own strategy, design, delivery, and hands-on engineering across cloud, ML, and product systems with cross-timezone collaboration.

Core Skills & Responsibilities-

Product & Technical Strategy

• Architect solutions for

  clinical data processing

  ,

  claims

  , and

  healthcare documentation

  .
• Design

  hybrid Azure/on-prem architectures

  ,

  multi-tenant SaaS

  , and enterprise deployments.
• Define

  architecture principles

  ,

  design patterns

  ,

  tech stack selection

  .
• Drive

  build vs buy

  ,

  PoCs

  , and manage

  NFRs

  :

  performance

  ,

  security

  ,

  HIPAA compliance

  ,

  scalability

  ,

  reliability

  .
• Present

  architecture roadmaps

  to leadership.

AI/ML Product Engineering

• Fine-tune

  LLMs

  (

  Llama

  ,

  Mistral

  ,

  Phi-3

  ) on medical datasets.
• Build

  MLOps

  for

  training

  ,

  evaluation

  ,

  deployment

  ,

  monitoring

  .
• Create

  AI-embedded products

  .
• Implement

  distributed training

  on

  Azure ML

  using

  GPU clusters

  (

  RTX5090/4090

  ,

  A100

  ,

  H100

  ).
• Build

  model evaluation frameworks

  ,

  domain metrics

  ,

  synthetic data pipelines

  .
• Manage

  model versioning

  ,

  A/B testing

  ,

  rollback strategies

  .

Platform & Infrastructure

• Design

  microservices architecture

  using

  AKS

  ,

  Service Bus

  ,

  Event Hubs

  .
• Build data pipelines with

  Azure Data Factory

  ,

  Synapse

  ,

  Databricks

  .
• Implement

  CI/CD

  with

  Azure DevOps

  , including

  testing gates

  .
• Architect

  observability

  (monitoring, logging, alerting, performance analytics).
• Build

  hybrid cloud integrations

  .
• Manage

  Azure SQL

  ,

  Cosmos DB

  ,

  Blob storage

  ,

  Data Lake

  architecture.

Delivery Excellence & Leadership

• Lead

  PoCs

  , conduct

  code reviews

  , handle

  debugging

  ,

  optimization

  ,

  refactoring

  .
• Create

  technical documentation

  (ADRs, APIs, deployment guides).
• Identify and resolve

  technical debt

  .

Team Development & Collaboration

• Mentor junior engineers; provide

  design/code reviews

  .
• Collaborate with

  US teams

  with required time overlap.
• Translate business requirements into

  technical tasks

  .
• Participate in

  sprint planning

  ,

  architecture reviews

  ,

  cross-timezone meetings

  .

Required Qualifications (Non-Negotiable)

• Expert Python

  ,

  PyTorch

  ,

  Transformers

  ,

  production ML frameworks

  .
• Strong with

  NVIDIA/CUDA

  .
• Proven

  LLM fine-tuning

  and

  model deployment

  in regulated environments.
• Experience delivering

  production AI products

  with business impact.
• Strong

  software engineering

  ,

  AI/ML

  , and

  DevOps

  expertise.
• Flexibility for

  US hours

  overlap.