Forward Deployed AI Engineers (FDEs) R
Share
Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Brief:
We are looking for Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to redefine business processes using AI and agentic workflows.
This role goes beyond traditional engineering. You will work directly with business and technology teams to design build and deploy AI agents that transform how healthcare operations function while enabling teams to become AI-native and self-sufficient.
You will operate at the intersection of AI engineering and healthcare operations delivering real-world impact across critical payer workflows.
We are looking for Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to redefine business processes using AI and agentic workflows.
This role goes beyond traditional engineering. You will work directly with business and technology teams to design build and deploy AI agents that transform how healthcare operations function while enabling teams to become AI-native and self-sufficient.
You will operate at the intersection of AI engineering and healthcare operations delivering real-world impact across critical payer workflows.
Key Responsibilities:
Reimagine and redesign healthcare processes using AI-first principles
Identify opportunities to replace or augment manual workflows with AI agents
Partner with business stakeholders to translate problems into working AI solutions
Design build and deploy AI agents for enterprise workflows
Implement multi-agent systems using LLMs (prompting memory tool usage)
Rapidly prototype and productionize solutions using platforms such as: OpenAI Anthropic Google (Gemini)
Embed with client teams (business IT) to Whiteboard solutions
Build prototypes in days/weeks
Deploy and iterate rapidly
Operate as a trusted advisor builder not just a developer
Leverage AI across the full software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability
Drive productivity improvements across engineering teams
Train business and ops teams to use AI tools and agents effectively build and iterate workflows independently develop reusable playbooks and frameworks
You will work on transforming core healthcare processes such as: Claims Processing & Adjudication Automate intake validation and exception handling
Prior Authorization - AI-driven clinical review decision support and workflow orchestration
Member & Provider Contact Center - Intelligent agents for call routing resolution and digital containment
Provider Data Management - Data intake validation and directory accuracy
Care Management & Utilization Review - AI-assisted case management and risk identification
Revenue Cycle & Payment Integrity - Fraud waste and abuse detection using AI
Identify opportunities to replace or augment manual workflows with AI agents
Partner with business stakeholders to translate problems into working AI solutions
Design build and deploy AI agents for enterprise workflows
Implement multi-agent systems using LLMs (prompting memory tool usage)
Rapidly prototype and productionize solutions using platforms such as: OpenAI Anthropic Google (Gemini)
Embed with client teams (business IT) to Whiteboard solutions
Build prototypes in days/weeks
Deploy and iterate rapidly
Operate as a trusted advisor builder not just a developer
Leverage AI across the full software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability
Drive productivity improvements across engineering teams
Train business and ops teams to use AI tools and agents effectively build and iterate workflows independently develop reusable playbooks and frameworks
You will work on transforming core healthcare processes such as: Claims Processing & Adjudication Automate intake validation and exception handling
Prior Authorization - AI-driven clinical review decision support and workflow orchestration
Member & Provider Contact Center - Intelligent agents for call routing resolution and digital containment
Provider Data Management - Data intake validation and directory accuracy
Care Management & Utilization Review - AI-assisted case management and risk identification
Revenue Cycle & Payment Integrity - Fraud waste and abuse detection using AI
Required Skills & Experience:
612 years of experience in software engineering AI or related fields
Strong software engineering background (Python APIs microservices)
Experience with LLMs prompt engineering and AI frameworks
Familiarity with agent frameworks (LangChain Semantic Kernel etc.)
Cloud experience with Amazon Web Services Microsoft (Azure)
Experience building AI/ML or LLM-powered applications
Understanding of structured unstructured data pipelines
Knowledge of model evaluation monitoring and governance
Ability to work directly with business stakeholders
Strong problem-solving and communication skills
Experience in rapid prototyping and iterative delivery
Experience in U.S. healthcare payer or PBM environments
Understanding of claims prior auth or care management workflows
Familiarity with regulatory and compliance considerations (HIPAA etc.)
Prior experience in client-facing or consulting roles preferred
Strong software engineering background (Python APIs microservices)
Experience with LLMs prompt engineering and AI frameworks
Familiarity with agent frameworks (LangChain Semantic Kernel etc.)
Cloud experience with Amazon Web Services Microsoft (Azure)
Experience building AI/ML or LLM-powered applications
Understanding of structured unstructured data pipelines
Knowledge of model evaluation monitoring and governance
Ability to work directly with business stakeholders
Strong problem-solving and communication skills
Experience in rapid prototyping and iterative delivery
Experience in U.S. healthcare payer or PBM environments
Understanding of claims prior auth or care management workflows
Familiarity with regulatory and compliance considerations (HIPAA etc.)
Prior experience in client-facing or consulting roles preferred
What Makes This Role Unique
Work at the forefront of AI-driven enterprise transformation
Build real-world AI agents that replace traditional workflows
Operate in a forward-deployed model with direct business impact
Opportunity to scale from small pods to enterprise-wide transformation programs
Success Metrics:
Number of business workflows transformed using AI
Reduction in manual effort / cost-to-serve
Adoption of AI tools by business teams
Speed of prototyping production deployment
Reduction in manual effort / cost-to-serve
Adoption of AI tools by business teams
Speed of prototyping production deployment
Nice to Have:
Experience with healthcare platforms (claims CRM contact center)
Exposure to tools like Salesforce ServiceNow or Epic integrations
Prior experience with companies like Palantir Technologies or similar forward-deployed models
Exposure to tools like Salesforce ServiceNow or Epic integrations
Prior experience with companies like Palantir Technologies or similar forward-deployed models
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
