Bengaluru Karnataka Agentic ai architect Jobs – 1490 Open Jobs Today

AI Platform Architect: Agentic & Generative AI - Cogentiq
Fractal Analytics —Bengaluru, Karnataka
- Full-time
- Azure
- Java
- Master's degree
GenAI / Agentic AI Engineer
Infosys Limited —Bengaluru, Karnataka
- AWS
- APIs
- AI
AI Engineer – Generative AI & Agentic AI
Alphaabets —Bangalore City, Bengaluru, Karnataka
- ₹12,00,000 - ₹16,00,000 a year
- Evening shift
- Azure
- Databases
- SQL
- Commuter assistance
- Health insurance
Quick apply
7d
Technical Architect (Agentic AI)
Adobe —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
1d
Agentic AI Gen AI
Capgemini —Bengaluru, Karnataka
- Azure
- Databases
- AWS
Technical Architect — Agentic AI
WinWire —Bengaluru, Karnataka
- Azure
- DevOps
- SQL
AI Automation & Workflow Architect
Beroe Inc —Bengaluru, Karnataka
- Full-time
- Master's degree
- APIs
- AI
- Health insurance
- Flexible schedule
Quick apply
9d
Agentic AI Platform Architect
Persistent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Flexible schedule
Agentic AI Architect
Dentsu —Bengaluru, Karnataka
- Full-time
- Azure
- System design
- Master's degree
10d
Agent Architect - Inference and Agentic AI
Paytm —Bengaluru, Karnataka
- Master's degree
- SQL
- Bachelor's degree
Technical Architect - Agentic AI Specialist
Quantiphi —Bengaluru, Karnataka
- Full-time
- Master's degree
- SQL
- AWS
AI Solutions Architect
Techwurkz —Electronics City, Bengaluru, Karnataka
- ₹25,00,000 - ₹28,00,000 a year
- Full-time
- Azure
- Master's degree
- AWS
Quick apply
AI Technology Architect
Bosch Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
6d
Microsoft Forward Deployed AI Engineer Subject Matter Experts
ANSR Source India Pvt Ltd —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
Agentic AI Engineer
HP —Bengaluru, Karnataka
- Full-time
- Computer Science
- Engineering
- Research
Senior Technology Architect - AI/GenAI- Q2 FY 27
Infosys Limited —Bengaluru, Karnataka
- ₹27 an hour
- Azure
- Master's degree
- AWS
Agentic AI Gen AI
Capgemini Sogeti —Bengaluru, Karnataka
- Azure
- Databases
- AWS
Agentic Solutions-AI and Data Science Engineer III
Deloitte —Bengaluru, Karnataka
- Azure
- Master's degree
- SQL
12h
Gen AI Lead/ Architect
Wipro Limited —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
1d
Data Architecture (Agentic AI)
Takeda Pharmaceutical —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Cell phone reimbursement
6d

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AI Platform Architect: Agentic & Generative AI - Cogentiq

Fractal Analytics -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Go
Cloud architecture
Law
MCP
Kubernetes
Software deployment
Java
Master's degree
Microservices
RBAC
AWS
Distributed systems
Continuous integration
APIs
AI
Python

Full job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

AI Platform Architect: Agentic & Generative AI - Cogentiq

About Cogentiq (Fractal’s Agentic AI Platform): Cogentiq is Fractal’s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi‑agent workflows with strong observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low‑code development console, Agent & MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.

Role Overview

As an AI Platform Architect, you will design and scale enterprise-grade Agentic AI and Generative AI platforms that power copilots, autonomous workflows, and multi-agent systems. This is a hands-on architect role for a builder who combines deep distributed-systems thinking with practical expertise in LLMs, agent orchestration, and cloud-native platforms.

You will define reference architectures, engineering standards, and core platform capabilities that enable teams to build, deploy, and operate AI systems at scale.

Key Responsibilities

Platform & Architecture Leadership

Architect scalable Agentic AI platforms supporting multi-agent orchestration, tool usage, memory, planning, and reasoning workflows
Design end-to-end GenAI platforms, including:
- Prompt orchestration
- Retrieval-Augmented Generation (RAG) pipelines
- Vector databases
- LLM integrations
Define modular, microservices-based, API-first architectures enabling rapid development of AI copilots and autonomous systems

Agentic & GenAI Systems

Define architectural patterns for:
- Agent orchestration and coordination
- Planning, reflection, and reasoning loops
- Human-in-the-loop and feedback-driven systems
Evaluate and integrate emerging frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, and related ecosystems into enterprise platforms

Production Readiness & Reliability

Ensure production-grade reliability across AI platforms, including:
- Observability and monitoring
- Evaluation and experimentation frameworks
- Guardrails, safety, and governance
- Cost optimization for LLM-based systems
Lead architecture across LLMOps, MLOps, and platform operations

Cloud, DevOps & Infrastructure

Drive cloud-native platform architecture using AWS, Azure, or GCP
Lead Kubernetes-based deployments, CI/CD pipelines, and Infrastructure as Code (IaC)
Ensure scalability, security, and resilience of AI workloads

Collaboration & Technical Leadership

Partner with data science, product, and business teams to translate AI use cases into robust platform capabilities
Mentor senior engineers and architects; set engineering standards, reference architectures, and best practices
Act as a technical thought leader for enterprise AI platform strategy

Required Skills & Experience

12–15 years of experience in platform engineering / architecture, with strong depth in distributed systems
Deep expertise in cloud platforms (AWS / Azure / GCP) and Kubernetes-based architectures
Hands-on experience with LLMs, RAG architectures, and vector databases (e.g., Pinecone, FAISS, Weaviate)
Strong understanding of agentic frameworks, multi-agent systems, and orchestration patterns
Experience across LLMOps / MLOps, including:
- Model deployment
- Monitoring and evaluation
- Lifecycle and version management
Proficiency in microservices, APIs, event-driven systems, and scalable backend engineering
Strong coding experience in Python / Java / Go, with system-design depth
Experience working with data platforms (real-time + batch, large-scale data processing)
Solid understanding of AI safety, governance, and responsible AI frameworks

Good to Have

Experience building enterprise AI copilots or autonomous workflows
Exposure to reasoning frameworks, chain-of-thought orchestration, and agent memory systems
Prior consulting or client-facing experience leading AI-driven transformations

What We’re Looking For

A builder–architect who combines deep engineering rigor with a strong grasp of Agentic and Generative AI—someone who can turn cutting-edge AI concepts into scalable, secure, and production-ready enterprise platforms.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

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Outside India: [email protected]

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agentic ai architect jobs in bengaluru karnataka

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