Bengaluru Karnataka Large language model architect Jobs – 852 Open Jobs Today

Large Language Model Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- SQL
SW Architect
Bosch Group —Bengaluru, Karnataka
- Full-time
- Bachelor's degree
- Software development
- Agile
Quick apply
Forward Deployed Engineer (India)
Cartesia —Bengaluru, Karnataka
- ₹70,00,000 - ₹90,00,000 a year
- Full-time
- English
- AWS
- Computer networking
- Health insurance
- Paid time off
Senior AI Architect – LLM, RAG & AI Agents
Swastika Web Technology —Bangalore City, Bengaluru, Karnataka
- ₹60,000 - ₹1,00,000 an hour
- Full-time
- Remote
- Microsoft Access
- Master's degree
- Databases
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9d
Enterprise Architect
Adobe —Bengaluru, Karnataka
- Full-time
- Azure
- Up to 50% travel
- AWS
3d
Technology Architect
Accenture —Bengaluru, Karnataka
- Full-time
- AutoCAD
- CAD
- Master's degree
Solution Architect
Luxoft —Bengaluru, Karnataka
- English
- Master's degree
- AWS
5d
Artificial Intelligence Engineer
Coducer Technologies Private Limited —Bengaluru, Karnataka
- ₹5,09,436.64 - ₹18,68,808.54 a year
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
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6d
AI Infrastructure Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Java
AI Researcher
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Research
AIML Solution Architect
Cognizant —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
AI Engineer
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- Computer Science
- DevOps
- Master's degree
AI Architect
Luxoft —Bengaluru, Karnataka
- Azure
- English
- Java
Gen AI Architect
Safran —Bengaluru, Karnataka
- Full-time
- Master's degree
- AWS
- Bachelor's degree
Technology Architect - AI/GenAI-Q2 FY 27
Infosys Limited —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Associate Product Manager
MyAdvice —Bengaluru, Karnataka
- ₹12,00,000 - ₹15,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
- Flexible schedule
Quick apply
Tech Architecture Assoc Director
Accenture —Bengaluru, Karnataka
- Full-time
- English
- Master's degree
- Bachelor's degree
AI Architect
Oracle —Bengaluru, Karnataka
- Hybrid work
- Oracle
- Master's degree
- Machine learning
Quick apply
AI Engineer
Irisidea —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Health insurance
- Paid time off
GenAI / AI-ML Experts
KPIT Technologies GmbH —Bengaluru, Karnataka
- Full-time
- Master's degree
- AI
5d

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Large Language Model Architect

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud architecture
Law
Computer Science
Kubernetes
Software deployment
Test automation
Git
Google Cloud Platform
Cost control
Master's degree
SQL
Docker
Bachelor's degree
Continuous improvement
Distributed systems
Continuous integration
Risk management
Computer Engineering
APIs
Agile
Financial services
Data science
Manufacturing
AI
Python
Data Science
Identity & access management
SDLC

Full job description

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Google Cloud Data Services
Good to have skills : Large Language Models (LLMs)
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent
Engineer role in AI LLM Technology Architecture. Hands-on engineering role focused on designing, building, integrating, testing and operationalizing enterprise-grade LLM, GenAI and agentic AI components across active client engagements.
Own platform-specific engineering on GCP, translating high-level architecture into working, production-quality components for LLM-driven applications, RAG pipelines, multi-agent workflows and AI platform integrations.
Bring practical industry experience in financial services, healthcare, retail, manufacturing, telecom or media to identify domain data, process constraints, controls and adoption risks while designing GenAI solutions that are safe, scalable and relevant.
Operate as a hands-on technical lead or engineering lead, contributing code, design decisions, reusable patterns and engineering documentation.

Key Responsibilities
Design and build LLM application components including prompts, tools, agents, orchestration flows, memory/context handling, retrieval pipelines and evaluation harnesses.
Build Gemini-powered LLM applications and agents implement grounding/RAG with BigQuery, Vertex AI Search and vector stores orchestrate tool calling and event-driven workflows evaluate model output quality and deploy AI services on Cloud Run or GKE.
Implement data ingestion, parsing, chunking, enrichment, embeddings, vector search and retrieval workflows for structured and unstructured enterprise content.
Engineer safety and control components including PII detection/redaction, prompt-injection defenses, content filters, guardrails, authentication, authorization, lineage and audit logging.
Collaborate with architects, data engineers, product owners and security stakeholders to convert solution designs into tested, observable and maintainable software components.
Maintain technical artifacts such as component designs, integration specifications, deployment runbooks, evaluation results and reusable engineering patterns.

Required Qualifications
Bachelor s degree in Computer Science, Computer Engineering, Data Science, AI/ML, Information Technology or a related engineering discipline.
Hands-on coding experience in Python and strong understanding of APIs, distributed systems, CI/CD, testing, observability and secure SDLC practices.
Experience delivering AI/ML or data products in at least one industry domain such as financial services, healthcare, retail, manufacturing, telecom or media.

Required Skills/ Experience
Hands-on experience with Vertex AI / Gemini Enterprise Agent Platform, Gemini models, Model Garden, Agent Builder/Agent Engine patterns, Vertex AI Search, BigQuery, AlloyDB/Cloud SQL vector support, Cloud Run, GKE, Pub/Sub, Cloud Functions, IAM, Cloud Logging and Monitoring.
Strong understanding of LLM application architecture patterns including RAG, function/tool calling, agent orchestration, model invocation, prompt engineering, embeddings, vector databases and evaluation metrics.
Ability to implement traditional ML and GenAI components across ingestion, feature/data preparation, model integration, deployment, monitoring and continuous improvement.
Practical knowledge of security, privacy, governance, performance, scalability, reliability and cost controls for production AI systems.
Experience with Git-based development, automated testing, CI/CD pipelines, infrastructure-as-code and agile delivery in client-facing environments.

Good to Have Skills
Google Cloud Professional Data Engineer, Professional ML Engineer or Cloud Architect certification experience with BigQuery-based semantic layers, Dataform/dbt, LangChain/LlamaIndex, GKE ML workloads and MLOps on Vertex AI.
Exposure to open-source frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, MLflow, FastAPI, Docker and Kubernetes.
Experience with Responsible AI, model risk management, synthetic data generation, human-in-the-loop review, A/B testing and GenAI cost optimization.

15 years full time education

Apply Now

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large language model architect jobs in bengaluru karnataka

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