Senior Solution Architect - Data Science & AI

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

Job summary

ZF in Hyderabad, India seeks a Senior Solution Architect with hands-on expertise in designing, building, and delivering scalable Data and AI‑driven digital products on cloud and data platforms. You will lead technical design across SaaS products, mentor teams, and ensure robust, scalable solutions that integrate AI/ML into production environments.

The role emphasizes cloud-native architectures, microservices, and DevOps practices, with a focus on enterprise‑scale data platforms and real‑time

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.

Responsibilities

• Design end-to-end architecture for cloud-native digital products powered by AI/ML.
• Define scalable, secure, high-performance system architectures.
• Create architecture blueprints, design patterns, and technical specifications.
• Ensure solutions are multi-tenant, scalable, robust, and production-ready.

Skills

Cloud platforms

Microservices

REST APIs

Distributed systems

Python/Java

DevOps

Tools

Docker

Kubernetes

CI/CD

Job description

Job Summary

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:

Responsibilities

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.

Cloud Platform Expertise

• Architect and implement solutions on Azure/AWS with strong cloud‑native principles.
• Design and optimise microservices, containerised 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 organisations expectations
• Actively participate in reskilling of the team to the changing technical landscapes
• Support the management during goal setting, performance reviews and appraisal processes

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.

Contact

Veerabrahmam Darukumalli