Principal AI/ML Architect

📋 Description

• Lead end-to-end ML assessments across infrastructure, data pipelines, and model lifecycle.
• Shape strategy and architecture for client ML workloads on AWS.
• Serve as the senior technical authority on client engagements; provide architectural guidance.
• Own or orchestrate high-quality POCs to build customer confidence.
• Advise customers on ML operations standards and architecture (MLOps, LLMOps, monitoring).
• Shape Caylent's wins with architectural thinking and credibility.

🎯 Requirements

• 10+ years in ML/AI with client-facing engagements.
• Deep AWS ML & GenAI knowledge; architect full ML lifecycle.
• Deep expertise in 2-3 ML domains (CV, NLP, time-series).
• Architect and govern production ML systems; MLOps & LLMOps on AWS.
• Foundation model adaptation (LoRA/PEFT); RLHF; inference optimization.
• Independent in complex customer environments; translate ML tradeoffs to business value.

🎁 Benefits

• 100% remote work
• Equitable Life - Hybrid Plan
• 100% Premium Coverage for the employee and dependents
• Competitive phantom equity
• Long-Term Disability
• 4% Pension match