{"id":60214,"url":"https://alion.io/job/zeiss-solution-architect-genai","title":"Solution Architect - GenAI","company":{"id":5290,"name":"Zeiss","domain":"zeiss.com","url":"https://alion.io/company/zeiss","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":247,"ghost_share":0,"stale_share":0.935,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Blue-Green Deployment","optional":false},{"name":"CI/CD","optional":false},{"name":"Diffusion Models","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-17T05:49:45Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":61},"description":"ZEISS in India\nZEISS 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.\nZEISS 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.\nFurther information at ZEISS India.\nSolution Architect - GenAI Applications\nBangalore\nThrive 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.\nYour role at ZEISS Digital:\nYou 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.\nYou 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.\nYou’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.\nIn this role you will:\nFocus on architectural, conceptual, communication, and organizational aspects of GenAI application development.\n\nPartner 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).\n\nOwn 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.\n\nArchitect 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).\n\nLead 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.\n\nDrive theGenAI 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.\n\nValidate feasibility and value of GenAI use cases through prototyping, architecture evaluations, PoCs, and design review s, providing clear technical guidance and recommendations.\n\nDefine and promote architectural standards and reusable building blocks (APIs, microservices, prompts, agents, templates) for GenAI applications to accelerate delivery across business units.\n\nCollaborate with security, compliance, and data privacy teams to ensure responsible and compliant GenAI solutions, addressing IP protection, data residency, and safety requirements.\n\nDefine and enforce Azure deployment and DevOps best practices, including infrastructure-as-code, environment strategy, security-by-design, monitoring, and cost optimisation.\n\nDesign 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.\n\nEnsurerobust 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.\n\nYou have:\nPreferably a Master’s degreein a STEM subject (Science, Technology, Engineering, Mathematics), such as Data Science, Computer Science, Statistics, Mathematics, or a related field.\n\n8+ years of experience in data science, AI, advanced analytics, or software engineering, with proven experience in solution or technical architectureroles for data-intensive or AI-powered applications.\n\nDeep expertise in machine learning, including supervised and unsupervised learning, along with strong experience in model lifecycle management, deployment, and scalabilityin production environments.\n\nStrong hands-on and architectural experience with GenAI technologies, including transformers, LLMs, diffusion models, multimodal AI, and common GenAI application patterns (RAG, agents, copilots, chatbots).\n\nProven experience designing and delivering GenAI and AI/ML solutions on Microsoft Azure, including:\nAzure OpenAI Service and/or Azure Machine Learning for experimentation, training, and deployment\n\nAzure Cognitive Search / vector search, storage and data services (e.g. Cosmos DB, Azure SQL, Blob Storage)\n\nIntegration and messaging services (e.g. Event Hubs, Service Bus, API Management)\n\nExcellent proficiency in Pythonand relevant libraries (e.g. NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, statsforecast, LangChain or similar orchestration frameworks).\n\nExperience with cloud-native architecturesand enterprise integration patterns(APIs, event-driven architectures, microservices).\n\nDemonstrated DevOps and CI/CD expertise on Azure, including:\nDesigning and maintaining GitHub repositorieswith robust branching, code review, and collaboration practices\n\nBuilding and operating GitHub Actions(and/or Azure DevOps pipelines) for automated testing, security checks, and deployments\n\nApplying best practices for versioning, environment management, release procedures, and rollback strategiesfor GenAI and AI/ML solutions in Azure\n\nUsing infrastructure-as-code tools (Terraform preferred) for repeatable, compliant environment provisioning\n\nMCP experience is preferred.\n\nStrong understanding of data architecture, from ingestion and feature engineering to semantic layers, vector databases, knowledge graphs, and analytical/consumption layers.\n\nProven ability to manage complex, multi-stakeholder initiativesacross regions, time zones, and priorities, aligning diverse stakeholders around a common architecture vision.\n\nExcellent communication skills in English, with the ability to explain complex technical concepts to both technical and non-technical audiences, including senior management.\n\nA collaborative mindset, strong ownership, strategic and product-thinking, and the confidence to challenge the status quoand advocate for pragmatic, scalable solutions.\n\nIn 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.\nJoin us and shape the future!\nYour contact\nCarl Zeiss AG\nYour ZEISS Recruiting Team:\nNishchitha HS, Saptarshi Chowdhury","description_format":"text","description_chars":8360,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Surgical Instruments & Devices","Eyewear","Medical Imaging Systems","Semiconductor Equipment"],"lifecycle":[{"event":"open","at":"2026-08-17T00:00:00Z"},{"event":"close","at":"2026-09-02T18:51:55Z"},{"event":"reopen","at":"2026-10-13T12:46:41Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.408,"p_room":0.28,"age_days":61,"expected_fill_days":26,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/zeiss-solution-architect-genai","json_url":"https://alion.io/job/zeiss-solution-architect-genai.json","meta":{"generated_at":"2026-10-17T10:08:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13269,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5290},"rest":"https://alion.io/mcp/rest/get_company?id=5290"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzeiss-solution-architect-genai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzeiss-solution-architect-genai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzeiss-solution-architect-genai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zeiss-solution-architect-genai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzeiss-solution-architect-genai"}]}