Data and AI Products Architect

Company Description Bosch Global Software Technologies Private Limited is 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 Description Role Overview This 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 responsibilities Product architecture & portfolio • Own 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 design • Responsible 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 detection Product maturation and disposition • Assess 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 economics • Design 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 leadership • Embed 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. Experience • 10–15 years in software/ML engineering and architecture, with proven AI solutions in production Expected Skills • GenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworks • MLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisation • Experience in architecting commercial software products - Multi-tenancy, versioning, and productisation of prototypes • Working knowledge of data platforms, pipelines, and modelling • Ability to connect architectural choices to unit economics, profitability and time-to-market • Guide the product development teams with implementation and standards compliance Qualifications Educational qualification: B.E/B.Tech/MCA/Phd or equivalent Qualification Experience : • 10–15 years in software/ML engineering and architecture, with proven AI solutions in production Mandatory/requires Skills : • GenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworks • MLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisation • Experience in architecting commercial software products - Multi-tenancy, versioning, and productisation of prototypes • Working knowledge of data platforms, pipelines, and modelling • Ability to connect architectural choices to unit economics, profitability and time-to-market • Guide the product development teams with implementation and standards compliance Preferred Skills :