Data and AI Products ArchitectFull-timeLegal Entity: Bosch Global Software Technologies Private LimitedCompany DescriptionBosch Global Software Technologies Private Limitedis a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.Job DescriptionRole OverviewThis role owns the technical architecture of the Data & AI product portfolio and acts as the Technical counterpart to the Product Owner. Works with Innovation on PoC-to-product transitions and applies AI governance and Responsible AI standards. Responsible for architecting products for multi-tenancy and non-functional characteristics.Key responsibilitiesProduct architecture & portfolioOwn the target architecture for each product in the portfolio, designing for reuse, configurability, and multi-tenancy.Define the shared platform layer — common services, components, and infrastructure reusable across products — and drive consolidation of duplicated capability.Own architecture roadmap in sync with product roadmap.AI & GenAI solution designResponsible for design decisions: build vs. buy, model selection, fine-tuning vs. retrieval, technical debt management and trade-offs.Design retrieval architectures (chunking, embedding, indexing, hybrid search, and re-ranking) for accuracy and latency at scale.Define the data architecture for AI solutions — training data, feature pipelines etc.Architect observability, monitoring, and drift detectionProduct maturation and dispositionAssess PoCs and early MVPs for technical viability, scalability, and productisation.Conduct product technical readiness assessments; provide the architectural basis for product disposition decisions.Production readiness & unit economicsDesign the LLMOps/MLOps backbone for the portfolio — serving, versioning, deployment pipelines, and rollback.Define evaluation architecture: eval harnesses, quality benchmarks, regression testing.Own the cost model — inference economics and token cost — as an input to product pricing.Safety, governance & technical leadershipEmbed Responsible AI, explainability, and AI security standards into product designs. Design for the regulatory obligations.Support the Product Owner with technical input to funding pitches, business cases, and customer conversations.Experience10–15 years in software/ML engineering and architecture, with proven AI solutions in productionExpected SkillsGenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworksMLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisationExperience in architecting commercial software products - Multi-tenancy, versioning, and productisation of prototypesWorking knowledge of data platforms, pipelines, and modellingAbility to connect architectural choices to unit economics, profitability and time-to-marketGuide the product development teams with implementation and standards complianceQualificationsEducational qualification:B.E/B.Tech/MCA/Phd or equivalent QualificationExperience :10–15 years in software/ML engineering and architecture, with proven AI solutions in productionMandatory/requires Skills :GenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworksMLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisationExperience in architecting commercial software products - Multi-tenancy, versioning, and productisation of prototypesWorking knowledge of data platforms, pipelines, and modellingAbility to connect architectural choices to unit economics, profitability and time-to-marketGuide the product development teams with implementation and standards compliancePreferred Skills :By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedPrivacy NoticeImprint
