YOUR NEXT OPPORTUNITY
Data and AI Products Architect
Bosch Group
Employer posted: August 10, 2026. Source checked: October 18, 2026 7:10 pm. Availability and final application requirements are confirmed on the employer’s site.
Source: Bosch — India. WorkerEra lists this opportunity from an external source; confirm current details with the employer.
About this opportunity
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
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Own the target architecture for each product in the portfolio, designing for reuse, configurability, and multi-tenancy.
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Define the shared platform layer — common services, components, and infrastructure reusable across products — and drive consolidation of duplicated capability.
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Own architecture roadmap in sync with product roadmap.
AI & GenAI solution design
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Responsible for design decisions: build vs. buy, model selection, fine-tuning vs. retrieval, technical debt management and trade-offs.
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Design retrieval architectures (chunking, embedding, indexing, hybrid search, and re-ranking) for accuracy and latency at scale.
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Define the data architecture for AI solutions — training data, feature pipelines etc.
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Architect observability, monitoring, and drift detection
Product maturation and disposition
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Assess PoCs and early MVPs for technical viability, scalability, and productisation.
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Conduct product technical readiness assessments; provide the architectural basis for product disposition decisions.
Production readiness & unit economics
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Design the LLMOps/MLOps backbone for the portfolio — serving, versioning, deployment pipelines, and rollback.
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Define evaluation architecture: eval harnesses, quality benchmarks, regression testing.
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Own the cost model — inference economics and token cost — as an input to product pricing.
Safety, governance & technical leadership
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Embed Responsible AI, explainability, and AI security standards into product designs. Design for the regulatory obligations.
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Support the Product Owner with technical input to funding pitches, business cases, and customer conversations.
Experience
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10–15 years in software/ML engineering and architecture, with proven AI solutions in production
Expected Skills
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GenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworks
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MLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisation
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Experience in architecting commercial software products – Multi-tenancy, versioning, and productisation of prototypes
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Working knowledge of data platforms, pipelines, and modelling
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Ability to connect architectural choices to unit economics, profitability and time-to-market
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Guide the product development teams with implementation and standards compliance
Qualifications
Educational qualification:
B.E/B.Tech/MCA/Phd or equivalent Qualification
Experience :
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10–15 years in software/ML engineering and architecture, with proven AI solutions in production
Mandatory/requires Skills :
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GenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworks
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MLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisation
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Experience in architecting commercial software products – Multi-tenancy, versioning, and productisation of prototypes
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Working knowledge of data platforms, pipelines, and modelling
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Ability to connect architectural choices to unit economics, profitability and time-to-market
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Guide the product development teams with implementation and standards compliance
Preferred Skills :
Imported source listing. Details are supplied by the source and have not been independently verified by WorkerEra. Confirm the current vacancy on the employer’s page.
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- Read the linked employer announcement and compare its requirements with your experience.
- Tailor your CV to responsibilities and skills actually listed by the employer.
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