Bengaluru Karnataka Ai solution architect Jobs – 4114 Open Jobs Today

AI Solution Architect
Bosch Group —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Quick apply
Solution Architect - Generative AI
Airbus Group India Pvt Ltd —Bengaluru, Karnataka
- Email
- Computer Science
- System design
- Master's degree
AI Solution Architect
Marlabs —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- AWS
- AI
Quick apply
AI Technology Architect
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI Solution Architect
Task Staffing —Bangalore Corporation Building, Bengaluru, Karnataka
- ₹15,00,000 - ₹40,00,000 a year
- Full-time
- Azure
- APIs
- In-person
Quick apply
7d
AI Architect
Luxoft —Bengaluru, Karnataka
- Azure
- English
- Java
Applied AI Architect
Anthropic —Bengaluru, Karnataka
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
- Flexible schedule
13d
Consulting-HC-IIO-HC Forward-AI Solution architect
Deloitte —Bengaluru, Karnataka
- Oracle
- Computer Science
- Research
Senior Solution Architect
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI/ML Solution Architect
National E-Governance Dept. ManoMaya Client —Bengaluru, Karnataka
- ₹30,00,000 - ₹45,00,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
8h
Solution Architect
Luxoft —Bengaluru, Karnataka
- English
- Master's degree
- AWS
1d
GenAI Solution Architect
Relevance Labs —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- AWS
Quick apply
AI Solution Architect
Tarento Technologies Pvt. Ltd. —Bengaluru, Karnataka
- Azure
- Master's degree
- Bachelor's degree
Tech S and T-AI-ML senior-GDSN02
EY —Bengaluru, Karnataka
- Azure
- Master's degree
- Machine learning
7h
Principal AI Agent Architect
Penguin Solutions —Bengaluru, Karnataka
- Hybrid work
- Master's degree
- Databases
- APIs
9h
AI/ML Engineer
Ipeople Infosysteams LLC —Bengaluru, Karnataka
- ₹15,00,000 - ₹22,00,000 a year
- Call employer
- Presentation skills
- In-person
- AI
Quick apply
19h
Solution Architect
Persistent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- AWS
- Analysis skills
- Flexible schedule
AIML Solution Architect
Cognizant —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
USI-EH27-Global Operate-Deal Solution Architect- Manager
Deloitte —Bengaluru, Karnataka
- Microsoft Powerpoint
- Azure
- Computer Science
- Health insurance
12h
Solution Architect
Techila Global Services —Bengaluru, Karnataka
- Full-time
- Azure
- Salesforce
- Computer networking
10h

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AI Solution Architect

Bosch Group -
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Law
Doctoral degree
Master's degree
MCA
Bachelor's degree
B.E.
AI
Communication skills

Full 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

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

AI & GenAI solution architecture

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

10–15 years in software/ML engineering and 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
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

Qualifications

Educational qualification:

B.E/B.Tech/MCA/PhD or equivalent Qualification

Experience :

10–15 years in software/ML engineering and architecture, with proven ownership of AI solutions in production

Mandatory/requires Skills :

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

Preferred Skills :

Quick apply

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ai solution architect jobs in bengaluru karnataka

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