Data and AI Products Architect
Bosch
bangalore, , IndiahybridPosted 27 days ago
Skill Required
AIManual TestingObservabilityEngineeringdesigningsecurityQuery OptimizationTestNGdesignMachine LearningGenerative AIUnityRAGFulltime
Key highlights
- 10–15 years of experience required
- Focus on GenAI, LLMs, and MLOps/LLMOps
- Responsible for AI governance and Responsible AI standards
Role overview
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global suppliers of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it is the largest software development center of Bosch outside Germany, serving as the Technology Powerhouse of Bosch in India with a global footprint across the US, Europe, and the Asia Pacific region. This role owns the technical architecture of the Data & AI product portfolio, acting as the Technical counterpart to the Product Owner. The role involves working with Innovation on PoC-to-product transitions, applying AI governance and Responsible AI standards, and architecting products for multi-tenancy and non-functional characteristics.
Responsibilities
- 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.
- 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.
- Assess PoCs and early MVPs for technical viability, scalability, and productisation.
- Conduct product technical readiness assessments; provide the architectural basis for product disposition decisions.
- 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.
- 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.
- Guide the product development teams with implementation and standards compliance
Requirements
- 10–15 years in software/ML engineering and architecture, with proven AI solutions in production
- 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
- B.E/B.Tech/MCA/PhD or equivalent qualification