AI Architect

About the role

Designing multi-agent workflows using frameworks like LangChain or LangGraph and architectural design patterns. Designing data models. Tracking model performance, managing inference costs, and handling latency tracking. Guarding privacy, stopping data leaks, and mitigating model hallucinations. Aligning technical AI choices with real business goals and financial budgets. Guiding engineering teams through design trade-offs and project execution.

Skills

• AI & Machine Learning: Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
• Cloud & Infrastructure: Experience with cloud services AWS SageMaker, Google Cloud AI, Microsoft Azure AI, Docker, Kubernetes.
• Data Management: Knowledge of data pipelines, ETL processes, vector databases, and data governance.
• Programming: Proficiency in Python and Java.