AI/LLM Architect

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