Senior Consultant AI/ML
# Senior Consultant AI/ML **CG Infinity** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-ML-Consulting]` `[Senior-Consultant]` `[AI-Solutions-Consultant]` `[AI-Technical-Consultant]` `[Senior-AI-Consultant]` `[Data-and-AI-Senior-Consultant]` `[Senior-Data-And-AI-Consultant]` `[Senior-AI-Technical-Consultant]` `[AI-Engineer-Senior-Consultant]` `[Senior-AI-ML-Professional]` `[Data-Scientist-Senior-Consultant]` `[Consultant-Senior-En-Data-Science]` `[Senior-Data-Science-Consultant]` `[Data-Science]` --- ### About the Role Senior Consultant AI/ML 100% Remote - 10+ years in technology delivery with 5+ years leading AI/ML programs at enterprise scale to serve as the Subject Matter Expert for the Agentic AI workstream. This resource will lead customer-facing conversations to understand use cases, design agentic AI solutions, and drive implementation using AWS Bedrock AgentCore and supporting services. The consultant must combine deep AI/ML engineering expertise with the ability to act as a trusted technical advisor to customer stakeholders. The consultant will own end-to-end delivery of an enterprise-scale AI/ML solution that fully automates the healthcare claims processing lifecycles from claims intake and adjudication through payment and denial management. This role requires a blend of technical depth in AI/ML, healthcare domain expertise, and strong program leadership to drive transformation at scale. - Define and own the AI/ML solution roadmap for end-to-end claims automation, aligning with the customer’s enterprise transformation goals - Work with cross-functional teams (data scientists, AI/ML engineers, cloud architects, business analysts, and SMEs) to deliver production-grade AI/ML solutions - Serve as the primary point of accountability for project delivery, risk management, and stakeholder communication - Architect the AI/ML pipeline: claims intake , data extraction, eligibility verification, medical coding validation, auto-adjudication, fraud detection, and payment processing - Oversee model development, training, validation, and deployment across the claims lifecycle - Ensure solution scalability to handle enterprise-level claim volumes (millions of claims/month) - Define AI/MLOps strategy including model monitoring, retraining pipelines, drift detection, and testing - Lead technical workshops with customer to identify, prioritize, and scope agentic AI use cases - Design agentic patterns (ReAct, tool-use, multi-agent orchestration) mapped to customer business problems - Build and operate evaluation pipelines for agentic systems (correctness, safety, latency, cost) - Implement agents using Strands SDK (or equivalent) with Bedrock AgentCore Runtime - Design and implement RAG architectures using Bedrock Knowledge Bases and vector stores - Instrument agents for tracing, monitoring, and debugging via Bedrock AgentCore Observability Originally posted on Himalayas
- AI-ML-Consulting
- Senior-Consultant
- AI-Solutions-Consultant
- AI-Technical-Consultant
- Senior-AI-Consultant
- Data-and-AI-Senior-Consultant
- Senior-Data-And-AI-Consultant
- Senior-AI-Technical-Consultant
- AI-Engineer-Senior-Consultant
- Senior-AI-ML-Professional
- Data-Scientist-Senior-Consultant
- Consultant-Senior-En-Data-Science
- Senior-Data-Science-Consultant
- Data-Science
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).