Artificial intelligence Architect

Amantya Technologies; New Delhi; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Amantya Technologies is seeking a Senior AI/LLM Architect to design and deploy enterprise AI systems for knowledge processing and regulatory domains. You will lead RAG-enabled retrieval, semantic search, and anomaly detection across large document repositories.

The role requires hands-on experience with LLMs, vector databases, and production-grade pipelines. Collaboration across government and public sector projects is expected, with focus on security-sensitive environments.

Qualifications

• Design and implement enterprise Agentic Applications for knowledge processing.

Responsibilities

• Design and implement enterprise Agentic Applications for knowledge processing.
• Develop knowledge ingestion pipelines for structured and unstructured government documents.
• Build semantic search and retrieval systems using Vector Databases and Search Engines.
• Develop anomaly detection models to identify contradictions, policy deviations, and historical inconsistencies.
• Develop Intent Management Systems to understand Documents.
• Fine-tune and optimize LLMs for government and policy-domain use cases.
• Develop explainable AI capabilities, confidence scoring, and audit trails.
• Build APIs and microservices for AI model integration.

Skills

AI / Machine Learning

Understanding and Integration with LLM

Retrieval-Augmented Generation

Semantic Similarity

Semantic anomaly detection

Vector Databases

Search Technologies

Python/PyTorch

LangChain / LlamaIndex

Education

Bachelor's or Master's degree in CS/AI/Data Science

Job description

Job Description AI/LLM Expert (RAG & Anomaly Detection Platform)

Position : Senior AI/LLM Architect – RAG, Knowledge Intelligence & Anomaly Detection

Key Responsibilities

• Design and implement enterprise Agentic Applications for knowledge processing.
• Develop knowledge ingestion pipelines for structured and unstructured government documents.
• Build semantic search and retrieval systems using Vector Databases and Search Engines.
• Develop anomaly detection models to identify contradictions, policy deviations, and historical inconsistencies.
• Develop Intent Management Systems to understand Documents.
• Fine-tune and optimize LLMs for government and policy-domain use cases.
• Develop explainable AI capabilities, confidence scoring, and audit trails.
• Build APIs and microservices for AI model integration.

Mandatory Technical Skills

• AI / Machine Learning
• Understanding and Integration with Open source Large Language Models (LLMs) like Llama, Mistral, Gemma
• Retrieval-Augmented Generation (RAG)
• Semantic Similarity & Text Classification
• Semantic anomaly detection
• Vector Databases (Milvus, Qdrant, Weaviate)
• Search Technologies like Elasticsearch / OpenSearch & Hybrid Search (Keyword + Semantic Search)
• Python/PyTorch / TensorFlow
• LangChain / LlamaIndex

Experience Requirements

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 6–12 years of software engineering and AI/ML experience.
• Minimum 5 years of hands-on experience in LLM, RAG, NLP, or Generative AI solutions.
• Experience designing enterprise-scale AI platforms handling large document repositories.
• Experience with government, public sector, legal, regulatory, telecom, banking, or compliance-related domains preferred.

Experience with on-premise deployments and security-sensitive environments is highly desirable