Senior Consultant AI/ML
Remote Worldwide Contract Senior AI Engineering
At a glance
Senior AI Engineering role at CG Infinity. Remote · contract.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationWorldwide
WorkplaceRemote
EmploymentContract
PostedOct 15, 2026 · 7d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Guide customer discussions to uncover needs, shape agentic AI designs and move solutions into implementation
- Own delivery of claims automation, from intake and adjudication through payment and denial handling
- Set the claims AI roadmap and coordinate data, engineering, architecture and business teams through production delivery
- Design agent workflows, RAG systems and evaluation pipelines, then monitor their quality, safety, speed and cost
- Direct model development and deployment, plus MLOps for monitoring, retraining, drift checks and testing
What you bring
- At least ten years delivering technology work, including five or more years leading enterprise AI/ML programs
- Strong AI/ML engineering expertise paired with healthcare claims domain knowledge and program leadership
- Hands-on experience with AWS Bedrock AgentCore and related services, including agent and RAG implementation
Who this fits
This suits a senior technical advisor who can lead customer conversations and take accountability for complex AI/ML delivery. The role is fully remote and offered on a contractor basis.
From the employer
Senior Consultant AI/ML
100% Remote
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