Solution Architect - GenAI

Carl Zeiss India (Bangalore) Pvt. Ltd.; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

ZEISS India seeks a senior Solution Architect for GenAI Applications in Bangalore to shape enterprise GenAI platforms and data analytics initiatives. You will drive architecture across data pipelines, model deployment, and governance, partnering with global teams to deliver scalable, compliant GenAI patterns.

Ideal candidates have 8+ years in AI/analytics or software architecture, deep GenAI/ML expertise, and strong Python and Azure experience to enable enterprise-grade AI solutions at scale.

Qualifications

• Master’s degree in Science, Technology, Engineering, Mathematics or related field.
• 8+ years in data science, AI, analytics or software engineering with architecture experience.
• Strong GenAI, ML lifecycle, deployment and scalability knowledge.
• Proven experience designing GenAI solutions on Microsoft Azure (Azure OpenAI, Azure ML).

Responsibilities

• Define GenAI application architecture and standards for enterprise AI initiatives.
• Lead end-to-end GenAI solution design including data pipelines, RAG, model orchestration and security.
• Collaborate with global stakeholders to drive scalable, compliant GenAI patterns and reusable data products.
• Define deployment, CI/CD, and governance practices for GenAI on Azure.

Education

Master's degree in STEM

Tools

Azure OpenAI Service

Azure Machine Learning

Cosmos DB

Python

Job description

ZEISS in India ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics. ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace. Further information at ZEISS India.

Solution Architect – GenAI Applications Bangalore

Thrive on innovation at a global technology leader. Develop exciting solutions in a diverse, stable work environment that’s focused on the future. Join us in a modern workplace with an open, trusting, and inspiring culture and colleagues. We invest in our employees to inspire confidence and help everyone realize their full potential. The ZEISS Digital Partners based in Munich, Oberkochen, Jena, Berlin, Bangalore, Budapest, and Shanghai are realizing cutting-edge customer‑centric digital, data and AI solutions jointly with the ZEISS business units.

Your role at ZEISS Digital

You will play a senior, strategic, and architectural role in shaping the future of GenAI‑powered applications and the broader Data & Analytics and Business Intelligence function, actively contributing to the success of ZEISS’ global digital and AI transformation. In this architect‑level function, you will enable business units to identify, design, and scale enterprise‑grade GenAI and Predictive Analytics solutions across multiple domains and products. You will be responsible not only for solution delivery, but also for defining GenAI application architecture, standards, and long‑term technical direction across India and global initiatives. You will work closely with global stakeholders, platform teams, enterprise architects, and cross‑functional partners to design scalable, secure, compliant, and reusable GenAI application patterns and data products aligned with ZEISS’ enterprise architecture. You’ll be part of a supportive, agile, and globally connected team that values open communication, shared success, and technical excellence. Help us shape the future of ZEISS.

In this role you will:

• Focus on architectural, conceptual, communication, and organizational aspects of GenAI application development.
• Partner with business and technology stakeholders to define GenAI application and solution architecture, translating complex business challenges into scalable ML‑ and LLM‑based designs (e.g. copilots, assistants, agents, smart workflows).
• Own end‑to‑end GenAI solution architecture, covering data pipelines, retrieval‑augmented generation (RAG), model orchestration, LLM integration, vector stores, prompt and agent frameworks, deployment patterns, observability, security, and governance.
• Architect and guide implementations on Microsoft Azure, including selection and integration of services for GenAI workloads and applications (e.g. Azure OpenAI Service, Azure Machine Learning, Azure Kubernetes Service, Azure App Service, Azure Functions, Event Hubs / Service Bus, Cosmos DB, Azure SQL, Azure Storage, Azure Cognitive Search).
• Lead complex, cross‑regional GenAI initiatives from use‑case discovery and solution shaping to enterprise rollout, with a strong focus on business impact, reusability, and sustainability.
• Drive the GenAI agenda together with the team and the GenAI task force – from platform and reference architecture, governance and responsible AI, to capability building, enablement, and hands‑on technical leadership in key projects.
• Validate feasibility and value of GenAI use cases through prototyping, architecture evaluations, PoCs, and design reviews, providing clear technical guidance and recommendations.
• Define and promote architectural standards and reusable building blocks (APIs, microservices, prompts, agents, templates) for GenAI applications to accelerate delivery across business units.
• Collaborate with security, compliance, and data privacy teams to ensure responsible and compliant GenAI solutions, addressing IP protection, data residency, and safety requirements.
• Define and enforce Azure deployment and DevOps best practices, including infrastructure‑as‑code, environment strategy, security‑by‑design, monitoring, and cost optimisation.
• Design and oversee CI/CD pipelines for GenAI applications and services on Azure, leveraging GitHub and GitHub Actions (and/or Azure DevOps where applicable) for automated builds, testing, vulnerability scanning, and deployments across environments.
• Ensure robust release management practices, including branching and tagging strategies, release approvals, rollback and recovery concepts, blue‑green / canary deployments where appropriate, and clear traceability from requirements to production releases.

You have:

• Preferably a Master’s degree in a STEM subject (Science, Technology, Engineering, Mathematics), such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 8+ years of experience in data science, AI, advanced analytics, or software engineering, with proven experience in solution or technical architecture roles for data‑intensive or AI‑powered applications.
• Deep expertise in machine learning, including supervised and unsupervised learning, along with strong experience in model lifecycle management, deployment, and scalability in production environments.
• Strong hands‑on and architectural experience with GenAI technologies, including transformers, LLMs, diffusion models, multimodal AI, and common GenAI application patterns (RAG, agents, copilots, chatbots).
• Proven experience designing and delivering GenAI and AI/ML solutions on Microsoft Azure, including Azure OpenAI Service and/or Azure Machine Learning for experimentation, training, and deployment; Azure Cognitive Search / vector search, storage and data services (e.g. Cosmos DB, Azure SQL, Blob Storage); Integration and messaging services (e.g. Event Hubs, Service Bus, API Management).
• Excellent proficiency in Python and relevant libraries (e.g. NumPy, Pandas, scikit‑learn, PyTorch/TensorFlow, statsforecast, LangChain or similar orchestration frameworks).
• Experience with cloud‑native architectures and enterprise integration patterns (APIs, event‑driven architectures, microservices).
• Demonstrated DevOps and CI/CD expertise on Azure, including designing and maintaining GitHub repositories with robust branching, code review, and collaboration practices; building and operating GitHub Actions (and/or Azure DevOps pipelines) for automated testing, security checks, and deployments; applying best practices for versioning, environment management, release procedures, and rollback strategies for GenAI and AI/ML solutions in Azure; using infrastructure‑as‑code tools (Terraform preferred) for repeatable, compliant environment provisioning; MCP experience is preferred.
• Strong understanding of data architecture, from ingestion and feature engineering to semantic layers, vector databases, knowledge graphs, and analytical/consumption layers.
• Proven ability to manage complex, multi‑stakeholder initiatives across regions, time zones, and priorities, aligning diverse stakeholders around a common architecture vision.
• Excellent communication skills in English, with the ability to explain complex technical concepts to both technical and non‑technical audiences, including senior management.
• A collaborative mindset, strong ownership, strategic and product‑thinking, and the confidence to challenge the status quo and advocate for pragmatic, scalable solutions.

In a spacious, modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit are of the utmost importance. We work in dynamic and interdisciplinary teams and offer individual development perspectives as well as flexibility in organizing your work. We care about our employees and take responsibility for improving society and preserving our environment. All of this is supported by a special ownership structure and the long‑term goal of the Carl Zeiss Foundation: to bring science and society into the future together. Join us and shape the future!

Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people. In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long‑term goal of the Carl Zeiss Foundation: to bring science and society into the future together. Join us today. Inspire people tomorrow. Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.