Solution Architect- Data Science & AI
At a glance
Mid-level Data Science role at ZF. Hyderabad.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape cloud-based AI and machine-learning products from initial design through production release
- Set system designs and technical blueprints that address security, performance, scale and multi-tenant use
- Guide implementation of SaaS products and tackle difficult technical issues hands-on
- Connect services, APIs and data systems, and build cloud solutions using Azure or AWS
- Develop data platforms and pipelines, bring AI models into production, and mentor the team
What you bring
- At least ten years in software development and solution architecture
- A track record of taking SaaS products into production, plus strong Azure or AWS architecture skills
- Hands-on background with microservices, REST APIs, distributed systems and data platforms
- Experience putting AI or machine-learning solutions into applications, with programming skills in Python, Java or a similar language
- Understanding of DevOps, continuous delivery, Docker and Kubernetes
Who this fits
This Hyderabad-based role suits a hands-on technical lead who can design systems and guide a team. You’ll also contribute to team development, including mentoring and reskilling.
From the employer
Req ID 90050 | Hyderabad, India, ZF India Pvt. Ltd.
Job Description
About the team:
We are looking for a Technical Lead 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 Solution Architect- Data Science & AI:
- 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 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 Solution Architect- Data Science & AI::
- 10+ Years of experience in software engineering Development 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.
Be part of our ZF team as Solution Architect- Data Science & AI and apply now!
Contact
Veerabrahmam Darukumalli
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