Senior Solution Architect -Data & AI

Michael Page; Hyderabad; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Michael Page is seeking a senior AI/Cloud Architect in Hyderabad to design and own end-to-end AI product architecture on GCP, collaborate with data scientists and MLOps teams, and drive scalable, production-ready ML pipelines. You will guide data engineers, review code for architecture compliance, and promote DevOps practices while aligning with enterprise standards and business goals.

You will also lead initiatives on performance, cost efficiency, security, and governance, while mentoring

Qualifications

• 8+ years in software engineering or architecture for advanced analytics products
• Mandatory: strong expertise in Google Cloud AI and data services (Vertex AI, BigQuery, Pub/Sub, AI APIs, Cloud Functions, Terraform)
• Mandatory: hands-on experience in Python, Java, or similar with modern full-stack frameworks
• Mandatory: deep knowledge of ML workflows, MLOps and production deployment architectures
• Mandatory: experience defining and managing Git workflows, PR reviews, and code governance
• Mandatory: experience with CI/CD, Docker/containers, and automated testing for AI products
• Mandatory: Google Cloud Professional Cloud Architect certification
• Proven ability to work cross-functionally with data engineers, data scientists, MLOps engineers, full stack developers, and product managers
• Strong communication, documentation, and stakeholder management skills
• Experience mentoring engineers/architects; passion for continuous improvement

Responsibilities

• Design and own end-to-end AI product architecture leveraging GCP AI and data services
• Collaborate with data scientists and MLOps teams to design scalable ML code structures and pipelines
• Partner with data engineers to optimize data models, pipelines and storage for AI workloads
• Advise on infrastructure design, microservices and GCP implementation best practices
• Review code for architecture compliance, performance and maintainability
• Promote DevOps/MLOps integration, testing and continuous deployment
• Define and enforce standards for system design documentation, review and versioning
• Ensure architectural artifacts are aligned with enterprise blueprints
• Collaborate with product managers to balance features with refactoring and track technical debt
• Stay updated on AI, GenAI and GCP to modernize product architecture

Skills

GCP expertise

Data architecture

Software engineering

Python/Java

MLOps

Git workflows

CI/CD

Communication

Mentoring

Stakeholder management

Tools

Git

Docker

Terraform

BigQuery

Vertex AI

CI/CD pipelines

Job description

• Be a part of growing Tech / GCC Center in Hyderabad
• European based Cosmetic Industry

About Our Client

A leading organisation in the FMCG and cosmetics industry, located in Hyderabad.

Job Description

Job objectives:

• Act as a trusted advisor and subject matter expert, guiding product teams on solution architecture and design, with a focus on leveraging GCP, DBT, AI/ML, and GenAI
• Lead and govern the GIT strategy - defining folder structures, branching conventions, PR review processes, and repository standards
• Serve as the owner of technical documentation across all AI products, maintaining a single, accessible repository of architectural diagrams, design decisions, and key implementation guides
• Define and evolve architecture for data engineering, machine learning, and product interface (front-end) aligned to enterprise standards and business goals
• Establish and maintain architectural guidelines, standards, and best practices.
• Drive performance, scalability, reliability, security, and cost efficiency for AI products
• Drive automation initiatives to improve operational efficiency

Job description:

• Design and own end-to-end AI product architecture leveraging GCP's AI and data services, ensuring scalability, performance, and cost efficiency
• Collaborate closely with data scientists and MLOps teams to design scalable, production-ready ML code structures and efficient ML pipelines.
• Partner with data engineers, acting as a data architect, to ensure data models, pipelines, and storage systems are optimized for AI workloads and adhere to architectural principles.
• Support full stack developers by advising on infrastructure design, microservice architecture, and GCP implementation best practices.
• Review code for architecture compliance, performance, and maintainability.
• Promote best practices for DevOps/MLOps integration, testing, and continuous deployment
• Define and enforce standards for system design documentation, review, and versioning
• Ensure architectural artifacts are updated and aligned with enterprise blueprints
• Collaborating with product managers to balance new features with refactoring efforts and establishing metrics to track technical debt reduction.
• Stay abreast with emerging technologies and evolving best practices in AI, GenAI, and GCP to continuously modernize the product architecture

The Successful Applicant

We’re looking for someone who has:

• Required work experience: 8+ years of experience in software engineering or architecture, with at least 3 years in a technical lead or architect role for advanced analytics products
• [Mandatory] Strong expertise in GCP AI and data services such as Vertex AI, BigQuery, workflows, Pub/Sub, AI APIs, Cloud Functions, Terraform etc.
• [Mandatory] Solid understanding of data architecture principles and hands-on experience collaborating with data engineers to design scalable data pipelines
• [Mandatory] Prior hands-on experience in software development (Python, Java, or similar) and familiarity with modern full-stack frameworks.
• [Mandatory] Deep knowledge of machine learning workflows, MLOps patterns, and production deployment architectures
• [Mandatory] Experience defining and managing Git workflows, reviewing PRs, and ensuring code quality governance
• [Mandatory] Experience with CI/CD, Docker/containers, and automated testing for AI products
• [Mandatory] Google Cloud Professional Cloud Architect certification is a must
• Proven ability to work cross-functionally with data engineers, data scientists, MLOps engineers, full stack developers, and product managers
• Strong communication, documentation, and stakeholder management skills
• Experience mentoring engineers/architects; passion for continuous improvement

What’s on Offer

• Opportunity to work with cutting-edge AI and data technologies.
• Engage in exciting projects within the FMCG and cosmetics industry.
• Collaborative and innovative work environment.
• Location in Hyderabad with potential for professional growth.