Solution Architect - GenAI

ZEISS Group; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Flexible work arrangements

Professional development opportunities

Job summary

ZEISS Group is seeking a senior GenAI architect to shape enterprise-grade AI solutions across global initiatives. You will define architectures, standards, and long-term direction, partnering with global stakeholders to deliver scalable, secure GenAI patterns and data products.

You will lead end-to-end GenAI initiatives, ensure governance and responsible AI, and guide deployments on the Azure platform, collaborating with cross-functional teams and security/compliance groups.

Qualifications

• 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, with strong model lifecycle management, deployment, and production scalability.
• Strong hands-on and architectural experience with GenAI technologies, including transformers, LLMs, diffusion models, multimodal AI, and GenAI patterns (RAG, agents, copilots).

Responsibilities

• Define GenAI application architecture and standards for enterprise-scale solutions.
• Lead cross-regional GenAI initiatives from use-case discovery and solution shaping to enterprise rollout with focus on business impact and reusability.
• Architect 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 (Azure OpenAI Service, Azure ML, AKS, App Service, Functions, Event Hubs/Service Bus, Cosmos DB, Azure SQL, Storage, Cognitive Search).
• Drive the GenAI agenda with the team and GenAI task force from platform and reference architecture to governance and responsible AI, enabling capability building and hands-on leadership.
• Define and promote architectural standards and reusable building blocks (APIs, microservices, prompts, agents, templates) for GenAI applications to accelerate delivery across business units.

Skills

GenAI architecture

Azure GenAI services

Python

ML model lifecycle

DevOps / CI/CD on Azure

Stakeholder management

Technical leadership

Education

Master’s degree in STEM

Tools

Azure OpenAI Service

Azure Machine Learning

Azure Kubernetes Service

Azure App Service

Azure Functions

Cosmos DB

Azure SQL

Azure Storage

Azure Cognitive Search

Job description

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 review s, 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 aMaster’s degreein 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:

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:

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.

Acollaborative 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.

ZEISS Group is a global technology leader in optics and optoelectronics, generating approximately €11 billion in revenue, with a strong commitment to innovation and research.