Senior AI Platform Architect GenAI

Orcapod Consulting Services; Bengaluru; On-site; INR 2,000,000 - 4,500,000; Full time

Job summary

Orcapod Consulting Services is seeking a hands-on Senior AI Platform Architect to own end-to-end AI platform design, development, deployment and production support for Infrastructure, Cloud and AMS. The role focuses on enterprise AI, GenAI, LLMs, and agentic AI with cloud-native architecture across Azure, AWS or GCP.

You will lead architecture reviews, mentor engineers, and drive MLOps/LLMOps, observability, and governance across multi-cloud environments.

Qualifications

• Must have hands-on expertise in design and development of enterprise AI/ML platforms.

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.

Skills

Machine Learning

Deep Learning

NLP

LLMs

Prompt Engineering

RAG

LangChain

Agentic AI

MLOps

LLMOps

Tools

Python

FastAPI/Flask

REST APIs

SQL

Docker

Kubernetes

Microservices

Azure OpenAI

AWS Bedrock

Vertex AI

Pinecone

Milvus

Weaviate

pgVector

FAISS

Job description

Hi All .

Greetings from Orcapod consulting services

We have the openings for Senior AI Platform Architect GenAI | Cloud | Infrastructure & AMS

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)
• AIOps
• ITSM / ServiceNow
• Enterprise AI Platforms
• Observability Platforms

Regards .

Roopa