Machine Learning Solution Architect

AGDATA, LP; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading technology provider in India seeks an experienced ML Solution Architect to design and implement enterprise-grade AI/ML solutions. This senior role requires at least 15 years of experience including 7 years in AI/ML and 4 years in architecture. The architect will lead teams, develop robust data pipelines, and ensure compliance across ML deployments. Strong expertise in cloud platforms like AWS, GCP, and Azure is essential, alongside programming skills in Python and SQL. This role offers the opportunity to shape innovative AI solutions and drive technical excellence.

Qualifications

• 15+ years of development experience, with 7+ years in AI/ML and 4+ years in ML solution architecture.
• Strong experience with enterprise architecture frameworks and cloud-native architectures.
• Proven ability to design and deploy systems using various model types.

Responsibilities

• Architect end-to-end AI/ML solutions including data pipelines and model deployment.
• Lead technical design reviews and mentor engineering teams.
• Drive POCs and convert prototypes into production-grade models.

Skills

AI/ML solution architecture

Technical design leadership

MLOps practices

Cloud-native architectures

Programming (Python, SQL)

Tools

TensorFlow

PyTorch

LangChain

AWS

GCP

Azure

Job description

As an ML Solution Architect, you will play a pivotal role in designing and implementing enterprise-grade AI/ML solutions that align with business objectives and technology strategy. This is a Senior position requiring a blend of technical depth, architectural vision, and business acumen. You will define frameworks, guide engineering teams, and ensure scalability, security, and compliance across ML deployments.

In this role, you will have the opportunity to…

• Architect end-to-end AI/ML solutions including data pipelines, model deployment, cloud-native integrations, and enterprise-grade infrastructure.
• Lead technical design reviews, mentor engineering teams, and evaluate new AI/ML technologies (LLMs, RAG, AutoML).
• Drive POCs and convert prototypes into production-grade models using TensorFlow, PyTorch, LangChain, and modern cloud platforms (AWS, GCP, Azure).
• Develop APIs and microservices enabling seamless integration of AI capabilities into products.
• Implement strong MLOps practices—CI/CD for ML, automated retraining, model performance monitoring, and governance.
• Partner with data engineering to ensure robust pipelines, high-quality data, lineage, and feature engineering standards.
• Collaborate with product, engineering, consulting partners, and business stakeholders to align solutions with strategic goals.
• Advocate for responsible AI practices, explainability, ethical deployment, and build reusable frameworks/architectures.

Qualifications Required…

• Experience: 15+ years of development experience, with at least 7+ years in AI/ML and 4+ Years in ML solution architecture.
• Strong experience with enterprise architecture frameworks, design patterns, cloud‑native architectures, and modern integration approaches.
• Proven ability to design, build, and deploy systems using diverse model types (language, vision, traditional ML) and the supporting infrastructure.
• Skilled across multiple programming languages, major cloud platforms (AWS/GCP/Azure), and architectural modelling tools.
• Background in consulting or prior roles with cloud providers (AWS/GCP), or a senior ML engineer/solution architect who has grown into a broader architectural role.

Technical Expertise:

• Cloud Platforms: AWS, Azure, GCP with strong knowledge of cloud-native ML services.
• Programming: Python, SQL; familiarity with API development and microservices.