Product Architect

15 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

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.

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