Product Architect - AI/MLThinkWise Consulting LLP • India

Product Architect - AI / ML

ThinkWise Consulting LLP • India

7 hours ago

Job description

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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