Data and AI Products Architect

Bosch; Bengaluru; On-site; INR 2,800,000 - 4,400,000; Full time

Job summary

Bosch Global Software Technologies Private Limited in Bengaluru seeks an experienced AI/ML software architect to own the data and AI product portfolio architecture. You will collaborate with product and innovation teams on PoC-to-product transitions, apply governance, and design multi-tenant, scalable AI systems.

The role requires 10-15 years in software/ML engineering, deep knowledge of GenAI, MLOps, and data platforms, and the ability to align architecture with unit economics and product

Qualifications

• 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
• Guide the product development teams with implementation and standards compliance

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.
• 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.
• 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.
• Support the Product Owner with technical input to funding pitches, business cases, and customer conversations.

Skills

GenAI architecture

MLOps/LLMOps

Multi-tenancy

Data platforms

Unit economics

Productisation

Leadership

Education

BE/BTech/MCA/Phd or equivalent Qualification

Job description

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 :