Artificial Intelligence Architect

Sunovaa Tech; Bengaluru; On-site; INR 4,200,000 - 6,500,000; Full time

Job summary

Sunovaa Tech is seeking an AI Architect to design and deliver enterprise-scale AI, GenAI, and Agentic AI solutions that leverage organizational data to drive business value.

The role defines AI architecture, establishes best practices, and leads the implementation of scalable, secure, and governed AI platforms across the enterprise.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of experience in solution architecture, data engineering, AI/ML, or cloud architecture, including hands‑on GenAI and enterprise AI implementations.

Responsibilities

• Define enterprise AI, GenAI, and Agentic AI architecture and roadmap.
• Design end-to-end AI solutions leveraging enterprise data, knowledge bases, and document repositories.
• Architect and implement RAG, semantic search, and knowledge retrieval solutions using vector databases.
• Build AI systems using LLMs, embeddings, prompt engineering, AI agents, and orchestration frameworks.
• Establish AI platform, MLOps, and LLMOps standards for model deployment, monitoring, and governance.
• Ensure AI security, responsible AI, data privacy, and regulatory compliance.
• Collaborate with business, data, engineering, and cloud teams to deliver AI‑driven solutions.

Skills

Generative AI

Agentic AI

RAG

GraphRAG

Vector Databases

Semantic Search

Knowledge Management

AI governance

Data architecture

Enterprise integration patterns

Python

APIs

Scalable distributed systems

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field

Tools

LangChain

LangGraph

Semantic Kernel

Pinecone

Weaviate

Milvus

Microsoft Azure

Job description

Role & responsibilities

AI Architect Job Description

We are seeking an experienced AI Architect to design and deliver enterprise-scale AI, Generative AI, and Agentic AI solutions that leverage organizational data to drive business value. The role will define AI architecture, establish best practices, and lead the implementation of scalable, secure, and governed AI platforms.

Key Responsibilities

• Define enterprise AI, GenAI, and Agentic AI architecture and roadmap.
• Design end-to-end AI solutions leveraging enterprise data, knowledge bases, and document repositories.
• Architect and implement RAG, semantic search, and knowledge retrieval solutions using vector databases.
• Build AI systems using LLMs, embeddings, prompt engineering, AI agents, and orchestration frameworks.
• Establish AI platform, MLOps, and LLMOps standards for model deployment, monitoring, and governance.
• Ensure AI security, responsible AI, data privacy, and regulatory compliance.
• Collaborate with business, data, engineering, and cloud teams to deliver AI‑driven solutions.

Required Skills

• Strong expertise in Generative AI, Agentic AI, RAG, GraphRAG, Vector Databases, Semantic Search, and Knowledge Management.
• Experience with AI frameworks such as LangChain, LangGraph, and Semantic Kernel.
• Hands‑on experience with vector databases such as Pinecone, Weaviate, or Milvus.
• Experience with cloud AI platforms on Microsoft Azure.
• Strong knowledge of AI governance, data architecture, and enterprise integration patterns.
• Proficiency in Python, APIs, and scalable distributed systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of experience in solution architecture, data engineering, AI/ML, or cloud architecture, including hands‑on experience with GenAI and enterprise AI implementations.