Senior Solution Architect - Data Science & AI

ZF Group; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

ZF Group in Hyderabad is looking for a Senior Solution Architect with hands-on expertise to design scalable AI-driven cloud products and data platforms.

You will lead architecture and delivery of SaaS solutions, guide microservices and DevOps practices, and partner with engineering and product teams to ship production-ready systems at scale. Experience with Azure or AWS, Databricks, and data governance is preferred.

Qualifications

• 15+ years of experience in software engineering and solution architecture.
• Proven track record delivering SaaS products in production environments.
• Strong expertise in cloud platforms (Azure or AWS) and cloud-native architectures.
• Solid experience with microservices, REST APIs, distributed systems.
• Hands-on data platforms experience (Azure, Databricks, BigQuery, Redshift).
• Experience deploying AI/ML solutions into applications; Python/Java proficiency.
• Strong understanding of DevOps, CI/CD, Docker, Kubernetes.

Responsibilities

• Design end-to-end architecture for cloud-native Digital products powered by AI/ML.
• Define scalable, secure, high-performance system architectures and blueprints.
• Drive design and implementation of SaaS products from concept to production.
• Provide hands-on guidance in critical components and integration across services.
• Establish CI/CD pipelines and DevOps practices for continuous delivery.
• Mentor the team and align solutions with multi-tenant SaaS requirements.

Skills

Cloud architecture

AI/ML integration

Distributed systems

Python/Java proficiency

DevOps & CI/CD

Tools

Azure

AWS

Databricks

Kubernetes

Docker

Job description

We are looking for a Senior Solution Architect with strong hands-on expertise in designing, building, and delivering scalable Data and AI-driven Digital products on cloud and data platforms.

This is a hands-on technical leadership role and you will be part of Data Science and AI Team and work closely with engineering and product teams to architect robust, scalable, and production-ready systems, and play a key role in scaling AI-based solutions to the enterprise level.

What you can look forward as Senior Solution Architect - Data Science & AI:

Solution Architecture, Design and Delivery

• Design end-to-end architecture for cloud-native Digital products powered by AI/ML.
• Define scalable, secure, and high-performance system architectures.
• Create architecture blueprints, design patterns, and technical specifications.
• Ensure solutions are aligned with best practices for multi-tenancy, scalability and robustness.
• Drive the technical design and implementation of SaaS products from concept to production.
• Provide hands-on guidance in critical components and complex problem-solving.
• Ensure robust integration across services, APIs, and data systems.
• Architect and implement solutions on Azure/AWS with strong cloud-native principles.
• Design and optimize microservices, containerized deployments (Docker/Kubernetes), and serverless architectures.
• Establish CI/CD pipelines and DevOps practices for continuous delivery.

Data & AI Platform Integration

• Design and integrate scalable data platforms (data lakes, warehouses, lakehouses).
• Enable efficient data pipelines and feature engineering workflows.
• Support deployment and integration of AI/ML models into production (MLOps practices).
• Work with structured and unstructured data at scale.

Team Building

• Build and Mentor the team to deliver high quality technical solutions meeting the organization’s expectations
• Actively participate in reskilling of the team to the changing technical landscapes
• Support the management during goal setting, performance reviews and appraisal processes

Your profile as Senior Solution Architect - Data Science & AI:

Required Qualifications

• 15+ years of experience in software engineering and solution architecture.
• Proven track record of designing and delivering SaaS products in production environments.
• Strong expertise in cloud platforms (Azure or AWS) and cloud-native architectures.
• Solid experience with microservices, REST APIs, distributed systems design.
• Hands-on experience with data platforms (e.g., Azure, Databricks, BigQuery, Redshift).
• Experience deploying and integrating AI/ML solutions into applications.
• Proficiency in Python, Java, or similar programming languages.
• Strong understanding of DevOps, CI/CD, Docker, Kubernetes.

Preferred Qualifications

• Experience in Applied AI / Generative AI / LLM-based applications.
• Familiarity with MLOps frameworks and tools (MLflow, Kubeflow, Airflow).
• Experience with real-time/streaming data systems (Kafka, Spark Streaming, Flink).
• Exposure to multi-tenant SaaS architecture and subscription-based models.
• Understanding of data governance, compliance, and security frameworks.