GenAI Architect

Orcapod Consulting Services; Pune District, Chennai District, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Orcapod Consulting Services in India seeks a Senior AI Platform Architect to own end-to-end AI/GenAI solution design and delivery across infrastructure, cloud and AMS. You will lead architecture reviews, mentor teams and drive multi-agent AI initiatives.

The role requires hands-on implementation, strong knowledge of MLOps, cloud platforms (Azure/AWS/GCP) and integration with enterprise systems. Based in Pune/Bangalore/Chennai with full-time arrangements.

Qualifications

• Hands-on Senior AI Platform Architect with ML/GenAI expertise.
• Experience designing enterprise AI/ML and Generative AI solutions.
• Proficient in cloud-native engineering and end-to-end deployment.

Responsibilities

• Design enterprise AI/ML and Generative AI solution architectures.
• Develop production-grade AI applications using Python, FastAPI/Flask and REST APIs.
• Build LLM, RAG, AI Agent and multi-agent solutions.

Skills

Python

FastAPI/Flask

REST APIs

SQL

ML & NLP

LLMs

LangChain

Prompt Eng

RAG

Agentic AI

Docker

Kubernetes

Microservices

Cloud Platforms

MLOps/LLMOps

Vector DBs

Tools

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

Urgently Hiring For Senior AI Platform Architect GenAI | Cloud | Infrastructure & AMS

Business Unit: AI & Automation

Practice: AI Platform Engineering & Intelligent Operations

Experience: 812 Years

Location: Bangalore / Pune / Chennai

Employment Type: Full-Time

Role Overview

We are seeking a hands-on Senior AI Platform Architect with expertise in Machine Learning,

Generative AI, LLMs, Agentic AI and cloud-native engineering to design, develop and

operationalize enterprise AI solutions for Infrastructure, Cloud and Application Managed

Services (AMS). The role requires end-to-end ownership from architecture and

development to deployment, monitoring and production support.

Key Responsibilities

• Design enterprise AI/ML and Generative AI solution architectures.
• Develop production-grade AI applications using Python, FastAPI/Flask and REST APIs.
• Build LLM, RAG, AI Agent and multi-agent solutions.
• Design cloud-native AI platforms on Azure, AWS or GCP.
• Implement MLOps/LLMOps, CI/CD, monitoring and governance.
• Integrate AI with ServiceNow, Jira, observability and enterprise platforms.
• Mentor engineering teams and lead architecture/design reviews.
• Drive AI solutions for Infrastructure, Cloud and Application Managed Services.

Mandatory Skills

• Python, FastAPI/Flask, REST APIs, SQL
• Machine Learning, Deep Learning, NLP
• LLMs, Prompt Engineering, RAG, LangChain, LlamaIndex, Agentic AI
• Docker, Kubernetes, Microservices
• Azure OpenAI / AWS Bedrock / Vertex AI
• MLOps / LLMOps
• Vector Databases (Pinecone, Milvus, Weaviate, pgVector, FAISS)

Preferred Experience

• Infrastructure Services
• Cloud Operations
• Application Managed Services (AMS)
• AIOpsITSM / ServiceNow
• Enterprise A...",