AI Architect

Job Title

Skill Set

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

Job Description

• Designing multi-agent workflows using frameworks like Lang Chain or Lang Graph and architectural design patterns
• Designing data models
• Tracking model performance, managing inference costs, and handling latency tracking.
• Security & Compliance:
  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