Solution Architect - GenAI
ZEISS Group1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Define GenAI application and solution architectures that translate business challenges into scalable ML- and LLM-based designs.
- Own end-to-end architecture covering data pipelines, RAG, model orchestration, LLM integration, vector stores, prompt and agent frameworks, deployment, observability, security, and governance.
- Architect and guide GenAI implementations on Microsoft Azure using appropriate AI, data, integration, storage, and application services.
- Lead cross-regional GenAI initiatives from use-case discovery and prototyping through enterprise rollout.
- Drive platform architecture, reference architecture, governance, responsible AI, enablement, and hands-on technical leadership.
- Validate use-case feasibility and value through prototypes, architecture evaluations, proofs of concept, and design reviews.
- Define reusable APIs, microservices, prompts, agents, templates, and architectural standards for GenAI applications.
- Collaborate with security, compliance, and data privacy teams on IP protection, data residency, safety, and responsible AI requirements.
- Define Azure deployment and DevOps practices covering infrastructure as code, environments, security by design, monitoring, and cost optimization.
- Design and oversee CI/CD pipelines, release management, branching, approvals, rollback, recovery, blue-green or canary deployments, and production traceability.
Requirements
- 8+ years of experience in data science, AI, advanced analytics, or software engineering, including solution or technical architecture for data-intensive or AI-powered applications.
- Preferred master’s degree in a STEM field such as data science, computer science, statistics, mathematics, or a related discipline.
- Deep expertise in supervised and unsupervised machine learning, model lifecycle management, production deployment, and scalability.
- Strong hands-on and architectural experience with transformers, LLMs, diffusion models, multimodal AI, RAG, agents, copilots, and chatbots.
- Proven experience designing and delivering AI/ML and GenAI solutions on Microsoft Azure.
- Excellent Python proficiency and experience with relevant libraries and frameworks such as NumPy, Pandas, scikit-learn, PyTorch or TensorFlow, statsforecast, and LangChain or similar tools.
- Experience with cloud-native architectures, APIs, event-driven architectures, microservices, and enterprise integration patterns.
- Demonstrated Azure DevOps and CI/CD expertise, including GitHub repositories, GitHub Actions or Azure DevOps pipelines, automated testing, security checks, deployments, versioning, environments, and rollback strategies.
- Experience with infrastructure-as-code tools, with Terraform preferred.
- Strong understanding of data architecture, ingestion, feature engineering, semantic layers, vector databases, knowledge graphs, and analytical or consumption layers.
- MCP experience is preferred.
- Ability to manage complex multi-stakeholder initiatives across regions, time zones, and priorities.
- Excellent English communication skills with technical and non-technical audiences, including senior management.
- Collaborative mindset, strong ownership, strategic and product thinking, and willingness to advocate for pragmatic, scalable solutions.
Benefits
- Modern, spacious workplace with individual development perspectives and opportunities for further development.
- Dynamic, interdisciplinary, globally connected teams with flexibility in organizing work.
- Supportive culture emphasizing expert knowledge, team spirit, open communication, and technical excellence.
- Opportunity to contribute to ZEISS’s global digital and AI transformation and responsible technology initiatives.
Categories
Solutions Engineering
About ZEISS Group
ZEISS Group develops and sells optics and optoelectronics for semiconductor makers, manufacturers, clinicians, researchers, and consumers, spanning lithography systems, industrial metrology, medical devices, microscopes, and eyeglass and camera lenses. Founded in 1846 and headquartered in Oberkochen, Germany, the company is wholly owned by the Carl Zeiss Foundation. It operates globally and generates around €12 billion in annual revenue across segments including Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology, and Consumer Markets.