Senior Managing Consultant - AI Architect

What you'll do

• Design centralized or distributed systems to meet user requirements efficiently.
• Lead end-to-end data architecture from platform selection to application development.
• Analyze data and provide insightful reports using statistical techniques.
• Build and deploy machine learning models across various platforms.
• Manage the lifecycle of ML models including MLOps practices.
• Implement large language model fine-tuning and RAG pipelines.
• Ensure security, governance, and responsible AI in solution architectures.

What we're looking for

• 10+ years of experience in software engineering, data engineering, machine learning, or cloud architecture.
• Expertise in building and deploying ML models including supervised, unsupervised, and deep learning techniques.
• Proficient in MLOps tools such as MLflow, Kubeflow, Vertex AI, SageMaker for model lifecycle management.
• Deep experience with large language models (LLMs), fine-tuning, RAG pipelines, vector databases, and prompt engineering.
• Strong background in data architecture including data lakes, warehouses, ETL/ELT design, and governance frameworks.
• Knowledge of security, privacy-by-design principles, AI governance, and model risk management.