[Hiring] Senior Consultant AI/ML @CG Infinity

Role Description

100% Remote

The Senior Consultant AI/ML will serve as the Subject Matter Expert for the Agentic AI workstream, leading customer-facing conversations to understand use cases, design agentic AI solutions, and drive implementation using AWS Bedrock AgentCore and supporting services. 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 customers 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.

Qualifications

• 10+ years in technology delivery.
• 5+ years leading AI/ML programs at enterprise scale.
• Deep AI/ML engineering expertise.
• Ability to act as a trusted technical advisor to customer stakeholders.

Requirements

• Experience in healthcare claims processing lifecycles.
• Strong program leadership skills.