Job Description

---------------------------------------------------------------

AI Architect:

Location : Pune (WFO)-4 Days / Hyderabad(only immediate joiner)

Duration-6 Months

NP-0-15 days.

Product Architect - AI/ML

Location: India/Offshore

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

Location: -Pune (4 Days WFO)

No. of Position:1

Type of Hire: Contract to Contract

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 audience
Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹1,440,000.00 - ₹3,000,000.00 per year

Application Question(s):

How many years of overall experience do you currently have? Are you ready for 6 months contract position? What is your Expected CTC in LPA? What is your notice period in days?
Experience:

AI/ML: 6 years (Required) Product Architecture: 6 years (Required) Azure: 6 years (Required) Kubernetes: 6 years (Required) CI/CD: 6 years (Required) LLMs: 4 years (Required) Python: 6 years (Required) Pytorch: 5 years (Required) Artificial Intelligence: 6 years (Required)
Work Location: In person