Senior AI Architect

Role Overview

As a Senior AI Architect at AVAN, you will lead the architecture and integration of advanced machine learning models and large language models (LLMs) into client codebases. You will design retrieval-augmented generation (RAG) structures, fine-tune models on proprietary domain data, and govern LLM orchestrators like LangChain or LlamaIndex.

Key Responsibilities

• Architect, deploy, and scale multi-agent LLM systems for complex customer support and analytics automation.
• Build high-performance semantic search pipelines using vector databases such as Pinecone, Qdrant, or Milvus.
• Implement model evaluations, guardrails, and caching configurations to optimize runtime latency and token usage.
• Collaborate with backend engineers to expose model inference endpoints securely via REST and gRPC API layers.
• Conduct model training and fine-tuning experiments using PyTorch and Hugging Face pipelines.

Technical Requirements

• 5+ years of software engineering experience, with 2+ years specialized in production AI/ML applications.
• Demonstrated proficiency in Python, PyTorch, Hugging Face transformers, and LLM application frameworks.
• Hands-on experience with vector database index design, chunking policies, and metadata filtering.
• Familiarity with containerized deployments (Docker, Kubernetes) and cloud services (AWS SageMaker, GCP Vertex AI).
• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.