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Senior Consultant AI/ML

CG Infinity

Role overview

Qualifications

  • 10+ years in technology delivery
  • 5+ years leading AI/ML programs at enterprise scale
  • Deep AI/ML engineering expertise
  • Healthcare domain expertise

Responsibilities

  • Define and own the AI/ML solution roadmap for end-to-end claims automation
  • Work with cross-functional teams to deliver production-grade AI/ML solutions
  • Serve as the primary point of accountability for project delivery and stakeholder communication
  • Architect the AI/ML pipeline for claims processing

Key facts

  • Remote from: Anywhere
  • Freelance
  • Senior (5-10 years)
  • AI Consultant
  • English

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

CG Infinity logo

CG Infinity

IT Services & IT Consulting

People First + Driven to Transform Our people-first approach to technology offers best-in-class service and success rates. With the world of business and technology growing more complex and confusing every minute, CG Infinity keeps it simple for our clients. Your leaders work with our leaders throughout an engagement. The leaders of our small, blended teams work hand in hand with your team to ensure your objective success. We partner with companies in a vast array of industries, including the Energy & Utilities and Financial Services industries, to help them thrive in the modern marketplace by leveraging technology to drive their enterprise. From our perfect record in Salesforce implementations, our trusted experience integrating Salesforce with backend applications, to our creative custom software solutions, CG Infinity is your trusted ally for business technology transitions. With our skilled employees and veteran leadership team, CG Infinity doesn’t complicate life for our clients, we simplify.

Company details

IndustryIT Services & IT Consulting
Company size201-500

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Job description

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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