AI Solution Architect

Bosch Group

Bengaluru, KA, India1w ago

Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.

Key details

Location
Bengaluru, KA, India
Work style
Onsite
Level
Senior
Job type
Full-time
Experience
10–12 yrs
Function
Sales & Solutions
Focus area
other
Posted
1w ago

Skills

cachingdata architecturedevopsenterprise architecturegenerative aijavalakehouselangchainllmllmopsmicrosoft fabricmlopsmodel fine-tuningnlppower bipythonragregression testingsolution architecture

About the role

Job Description

Roles & Responsibilities :

This role architects production-ready AI and GenAI solutions that are reliable, observable, safe, and cost-efficient. The architect owns the technical design of AI solutions from opportunity through delivery. The solution architect is the senior technical authority on AI architecture decisions within projects and collaborates with the Data Solution Architect where engagements span both data foundations and AI solutions.

Key responsibilities

Data / AI & GenAI solution architecture

  • Own end-to-end architecture for AI and GenAI engagements — classical ML, LLM applications, RAG systems, and agentic workflows.

  • Define enterprise architecture using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI, and related Fabric capabilities.

  • Responsible for design decisions: build vs. buy, model selection, fine-tuning vs. retrieval, and orchestration patterns.

  • Design retrieval architectures (chunking, embedding, indexing, hybrid search, and re-ranking) for accuracy and latency at scale.

  • Architect agentic systems: tool use, memory, multi-step orchestration, and human-in-the-loop control points.

Production readiness & LLMOps design

  • Design LLMOps/MLOps setup for engagements: model serving, versioning, deployment pipelines, and rollback.

  • Define evaluation architecture: eval harnesses, quality benchmarks, regression testing, and acceptance criteria.

  • Architect observability, monitoring, and drift detection; design for operability and handoff to Managed Ops.

  • Design cost-efficient inference architectures: model tiering, caching, token economics, and FinOps guardrails.

Data foundations for AI

  • Specify the data requirements for AI solutions — training data, feature pipelines etc.

  • Partner with Data Solution Architects to translate model and RAG requirements into data platform design.

  • Design embedding and vector store strategy in sync with the underlying data architecture.

Safety, governance & non-functional design

  • Embed Responsible AI and AI security standards into solution design — guardrails, explainability requirements, and human oversight.

  • Design against GenAI risk surfaces: prompt injection, data leakage, unsafe outputs, and insecure tool use.

  • Design for non-functional requirements: latency, scalability, availability, security, and cost. Ensure designs meet regulatory obligations.

Delivery & engagement support

  • Serve as technical authority through delivery — guiding engineering teams, reviewing designs, and resolving technical escalations.

  • Support pursuits with technical proposals, effort estimation, and technical workshops with client stakeholders.

Experience

  • 10–12 years in Data / AI Solution Architect architecture, with proven ownership of AI solutions in production

Expected Skills

  • Strong Hands-on GenAI architecture — LLMs, RAG, agentic patterns, orchestration frameworks and tools such as Langchain, Haystack, and Llama Index

  • Define enterprise architecture using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI, and related Fabric capabilities.

  • Classical ML delivery grounding

  • MLOps/LLMOps, evaluation design, model serving, observability, and inference cost optimisation

  • Practical experience designing to Responsible AI, security, and compliance requirements

  • Working knowledge of data platforms, pipelines, and modelling.

  • Exposure to Enterprise Architecture is an added advantage

  • Ability to lead technical workshops with technical stakeholders in client environment

  • Excellent verbal and written communication, technical authoring, ability to communicate technical concepts and trade-offs to stakeholders of varying technical competency

Additional Information

Educational qualification:

BE/B.Tech or Equivalent Degree

Experience :

2-5 Years

Mandatory/requires Skills :
Strong hands-on expertise in Python (or Java), NLP, RegEx, SpaCy, NLTK and DevOps

Preferred Skills :

Company Description

vBosch 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.

Get jobs like this as soon as they're posted

JobSuited checks company career sites all day and ranks every opening against your profile. Free to join.

Create a free account