GenAI Architect

VMC Soft Technologies, Inc; Bengaluru Urban; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

VMC Soft Technologies, Inc is seeking an experienced GenAI Architect to design and implement scalable GenAI solutions. The role involves leveraging LLMs, vector databases, and MLOps to drive AI innovation across customer experience, finance, supply chain, or IT operations.

The ideal candidate has 10+ years of experience, strong architectural skills, and the ability to guide cross-functional teams through end-to-end GenAI implementations in a fast-paced enterprise environment.

Qualifications

• 10+ years of experience in GenAI systems and architecture.
• Experience with enterprise-scale GenAI deployments.
• Knowledge of LLMs, vector databases, and MLOps.
• Experience in GenAI solutions for customer experience, finance, supply chain, or IT operations.

Responsibilities

• Architect scalable, secure, and enterprise-grade GenAI solutions.
• Drive AI innovation across business domains.
• Ensure governance, security, and explainability.
• Collaborate with cross-functional teams to deliver end-to-end GenAI solutions.

Skills

GenAI Architecture

RAG

Prompt Pipelines

Context Orchestration

Agentic Workflows

LLMOps

Responsible AI

Domain Experience

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

OpenAI GPT

Anthropic Claude

Google Gemini

Meta LLaMA

Mistral

Pinecone

FAISS

Weaviate

Azure Cognitive Search

Job description

Job Overview

We are looking for an experienced GenAI Architect to join our team.

Location

Bangalore / Pune

Experience

10+ Years

Required Skills

• Large Language Models (LLMs) – OpenAI, Azure OpenAI, LLaMA, Mistral & other open‑source LLMs
• Cloud GenAI Platforms – Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, DeepSeek
• GenAI Architecture – RAG, Agentic Workflows, Prompt Pipelines, Context Orchestration
• Vector Databases & Embeddings – Pinecone, FAISS, Weaviate, Azure Cognitive Search
• API & Microservices – REST APIs, Service Orchestration, Event‑Driven Architecture
• LLMOps – Model Deployment, Monitoring, Evaluation, Prompt & Version Management
• Responsible AI – Security, Governance, Compliance, Auditability & Explainability
• Domain Experience – GenAI Solutions for Customer Experience, Finance, Supply Chain, or IT Operations

Responsibilities and Expectations

Architect scalable, secure, and enterprise‑grade GenAI solutions while driving AI innovation across business domains.

Application

Interested candidates can share their updated resume.