Senior Consultant AI/ML
About The Position
The Senior Consultant AI/ML serves as the Subject Matter Expert for the Agentic AI workstream and owns end-to-end delivery of an enterprise-scale AI/ML solution to automate healthcare claims processing, from intake and adjudication through payment and denial management. The role combines AI/ML engineering expertise, healthcare domain knowledge, customer advisory, and program leadership. The consultant leads customer-facing discussions to understand use cases, design agentic AI solutions, and drive implementation using AWS Bedrock AgentCore and supporting services. They define the AI/ML solution roadmap in line with the customer’s enterprise transformation goals, coordinate cross-functional delivery, and maintain accountability for project delivery, risk management, and stakeholder communication. The role also covers architecture and operation of AI/ML pipelines and agentic systems, including model lifecycle management, MLOps, evaluation, retrieval-augmented generation, observability, and scalability for enterprise claim volumes of millions of claims per month. The position is 100% remote.
Requirements
- 10+ years in technology delivery.
- 5+ years leading AI/ML programs at enterprise scale.
- Deep AI/ML engineering expertise.
- Healthcare domain expertise.
- Strong program leadership skills.
- Ability to lead customer-facing conversations and act as a trusted technical advisor to customer stakeholders.
- Experience designing agentic AI solutions and driving their implementation using AWS Bedrock AgentCore and supporting services.
Responsibilities
- Define and own the AI/ML solution roadmap for end-to-end claims automation, aligning it with the customer’s enterprise transformation goals.
- Work with data scientists, AI/ML engineers, cloud architects, business analysts, and subject matter experts 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 for 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 the solution can scale to enterprise-level volumes of millions of claims per month.
- Define the AI/MLOps strategy, including model monitoring, retraining pipelines, drift detection, and testing.
- Lead customer technical workshops to identify, prioritize, and scope agentic AI use cases.
- Design agentic patterns, including ReAct, tool use, and multi-agent orchestration, for customer business problems.
- Build and operate evaluation pipelines for agentic systems, covering correctness, safety, latency, and cost.
- Implement agents using Strands SDK or an 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
