Explore 2 agentic ai fde jobs from 2 hiring companies in United States. Filter by remote, salary, experience, and company, then open any listing to apply.

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Agentic Ai Fde

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Agentic Ai Fde Jobs

Brillio

Photon

Onsite

Remote

Photon Group

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  <p><strong>Job Title:</strong> Agentic AI FDE&nbsp;&nbsp;</p>
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  <p><strong>Location:</strong> USA&nbsp;&nbsp;</p>
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  <p><strong>Experience:</strong> 12+ years&nbsp; &nbsp;</p>
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  <p><strong>Employment Type:</strong> Full-time&nbsp;&nbsp;</p>
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  <p><strong>Travel requirements:</strong> 80% travel required, travel to PHTN.ai client offices&nbsp;&nbsp;</p>
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  <p><strong>Job Summary:</strong>&nbsp;&nbsp;</p>
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  <p>The Forward Deployed Engineer (FDE) will be a critical bridge between the product development team and the enterprise customers. This role requires a unique blend of deep technical expertise in AI, cloud deployments, and exceptional communication skills to deliver successful outcomes for complex, agentic AI solutions. The FDE will be responsible for customer-facing engagements, demonstrating the power of the platform, and leading proof-of-concept initiatives, while also managing diverse technical teams.&nbsp;&nbsp;</p>
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  <p><strong>Key Responsibilities:</strong>&nbsp;&nbsp;</p>
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   <li><strong>Solution Design:</strong> Presenting the platform's capabilities, understanding customer requirements, architecting solutions, and guiding successful deployments in diverse enterprise environments.&nbsp;&nbsp;</li>
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   <li><strong>Deliverables: </strong>Delivering Agentic AI Proof-of-Concepts&nbsp;&nbsp;</li>
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   <li><strong>Deployments:</strong> Customer-Facing Platform &amp; Deployment Expertise.&nbsp;&nbsp;</li>
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   <li><strong>Customer Interaction:</strong> Lead and execute technical POCs for agentic AI solutions, showcasing the value and potential of the platform. This involves collaborating closely with customer stakeholders to define success criteria, designing and implementing bespoke agent configurations, and demonstrating quantifiable business impact&nbsp;&nbsp;</li>
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   <li><strong>Agent Orchestration:</strong> Architect agent orchestration solutions aligned with customer requirements, ensuring timely implementation and delivery.&nbsp;&nbsp;</li>
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   <li><strong>Platform Development:</strong> Develop resilient, scalable, and high-performance platforms and tools to support product evolution and seamless production deployment.&nbsp;&nbsp;</li>
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   <li><strong>Collaboration:</strong> Manage and mentor both offshore and onshore technical personnel involved in deployments, integrations, and POCs. Foster a collaborative environment, ensure consistent technical standards, and drive efficient project execution across geographically dispersed teams.&nbsp;&nbsp;</li>
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   <li><strong>Performance Optimization:</strong> Optimize the platform and infrastructure for performance, scalability, and cost-efficiency.&nbsp;&nbsp;</li>
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   <li><strong>Best Practices:</strong> Establish and enforce best practices for code quality, model versioning, experimentation tracking, and FinOps, TechOps, MLOps, AIOps, for Agentic AI.&nbsp;&nbsp;</li>
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   <li><strong>Mentorship &amp; Guidance:</strong> Provide technical leadership and mentorship to junior AI engineers and researchers.&nbsp;&nbsp;</li>
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   <li><strong>Innovation &amp; Research:</strong> Stay abreast of the latest advancements in AI research and actively explore new techniques and tools to enhance our capabilities.&nbsp;&nbsp;</li>
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   <li><strong>Documentation:</strong> Create comprehensive technical documentation for architectures, models, and processes.&nbsp;&nbsp;</li>
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  <p><strong>Required Skills:</strong>&nbsp;&nbsp;</p>
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   <li><strong>Strong AI/ML Acumen:</strong> Deep understanding of AI/ML concepts, methodologies, and frameworks. Experience with agentic AI, LLMs, machine learning pipelines, and model deployment strategies is highly desirable.&nbsp;&nbsp;</li>
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   <li><strong>Cloud Deployment Expertise:</strong> Extensive hands-on experience with any of the major cloud platforms (AWS, GCP, Azure), including infrastructure-as-code, containerization (Docker, Kubernetes), serverless architectures, and managed AI/ML services.&nbsp;&nbsp;</li>
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   <li><strong>Customer Engagement &amp; Communication:</strong> Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Proven ability to build strong customer relationships and drive successful outcomes.&nbsp;&nbsp;</li>
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   <li><strong>Problem-Solving &amp; Adaptability:</strong> Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues in real-time. Comfortable working in fast-paced, dynamic environments with evolving customer needs.&nbsp;&nbsp;</li>
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   <li><strong>Project Management Fundamentals:</strong> Ability to manage multiple projects concurrently, prioritize tasks, and deliver results within agreed-upon timelines.&nbsp;&nbsp;</li>
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   <li><strong>Relevant Experience:</strong> [Specify desired years of experience, e.g., 5+ years] in a customer-facing technical role, such as Solutions Architect, or Forward Deployed Engineer, with a focus on Agentic AI or complex software deployments.&nbsp;</li>
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  <p><strong>Qualifications</strong>&nbsp;</p>
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   <li><strong>Engineering Expertise</strong>&nbsp;</li>
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   <li>10+ years in software engineering, infrastructure engineering, or applied ML engineering.&nbsp;</li>
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   <li>Strong&nbsp;proficiency&nbsp;in&nbsp;<strong>Python</strong>,&nbsp;<strong>TypeScript/JavaScript</strong>, or other backend languages.&nbsp;</li>
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   <li>Deep understanding of Agent development and agent orchestration techniques&nbsp;&nbsp;</li>
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   <li>Hands on experience in Lang chain, Lang watch, MCP, Vertex AI, Open AI&nbsp;&nbsp;</li>
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   <li>Experience deploying systems on&nbsp;<strong>cloud platforms</strong>&nbsp;(AWS, GCP, Azure) using Kubernetes and serverless frameworks.&nbsp;</li>
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   <li>Deep understanding of&nbsp;<strong>API design, distributed systems, and data engineering workflows</strong>.&nbsp;</li>
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   <li><strong>DevOps &amp; Infrastructure</strong>&nbsp;</li>
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   <li>Strong background in&nbsp;<strong>CI/CD pipelines, infrastructure as code (Terraform, Helm, Ansible)</strong>.&nbsp;</li>
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   <li>Skilled in setting up&nbsp;<strong>monitoring, observability, and alerting</strong>&nbsp;(Prometheus, Grafana, ELK, Datadog).&nbsp;</li>
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   <li>Familiarity with performance profiling, scaling strategies, and SRE principles.&nbsp;</li>
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   <li><strong>Security &amp; Compliance Awareness</strong>&nbsp;</li>
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   <li>Knowledge of&nbsp;<strong>enterprise SaaS security models</strong>&nbsp;(SSO, RBAC, encryption, API security).&nbsp;</li>
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   <li>Experience working in environments subject to&nbsp;<strong>compliance frameworks</strong>&nbsp;(SOC2, HIPAA, GDPR).&nbsp;</li>
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   <li><strong>Soft Skills</strong>&nbsp;</li>
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   <li>Excellent debugging and problem-solving in&nbsp;<strong>high-pressure deployment environments</strong>.&nbsp;</li>
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   <li>Strong communication&nbsp;with&nbsp;<strong>technical stakeholders</strong>&nbsp;(engineering teams, architects, CTOs).&nbsp;</li>
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   <li>Comfort working in&nbsp;<strong>fast-moving, ambiguous</strong>&nbsp;situations with minimal guidance.&nbsp;</li>
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<p><strong>Compensation, Benefits and Duration</strong></p>
<p>Minimum Compensation: USD 80,000<br>
 Maximum Compensation: USD 280,000<br>
 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.<br>
 Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.<br>
 This position is not available for independent contractors<br>
 No applications will be considered if received more than 120 days after the date of this post.</p>

Agentic AI FDE | USA | FTE Only

Agentic AI FDE

12+ years in customer-facing AI/ML engineering roles; strong cloud, DevOps, and AI deployment experience.

<div><strong>Role Brief:</strong><br>We are looking for <em><strong>Forward Deployed AI Engineers (FDEs</strong></em>) to partner with one of the largest healthcare payers in the U.S. to redefine business processes using AI and agentic workflows.<br>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.<br>You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows.</div><br/><br/>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.
<br/><br/><b>Key Responsibilities:</b><br/><div>•&nbsp;Reimagine and redesign healthcare processes using AI-first principles<br>•&nbsp;Identify opportunities to replace or augment manual workflows with AI agents<br>•&nbsp;Partner with business stakeholders to translate problems into working AI solutions<br>•&nbsp;Design, build, and deploy AI agents for enterprise workflows<br>•&nbsp;Implement multi-agent systems using LLMs (prompting, memory, tool usage)<br>•&nbsp;Rapidly prototype and productionize solutions using platforms such as: OpenAI, Anthropic, Google (Gemini)<br>•&nbsp;Embed with client teams (business + IT) to Whiteboard solutions<br>•&nbsp;Build prototypes in days/weeks<br>•&nbsp;Deploy and iterate rapidly<br>•&nbsp;Operate as a trusted advisor + builder, not just a developer<br>•&nbsp;Leverage AI across the full software lifecycle: Code generation and refactoring, Automated testing and validation, Documentation and observability<br>•&nbsp;Drive productivity improvements across engineering teams<br>•&nbsp;Train business and ops teams to use AI tools and agents effectively, build and iterate workflows independently, develop reusable playbooks and frameworks<br>•&nbsp;You will work on transforming core healthcare processes such as: Claims Processing &amp; Adjudication, Automate intake, validation, and exception handling<br>•&nbsp;Prior Authorization - AI-driven clinical review, decision support, and workflow orchestration<br>•&nbsp;Member &amp; Provider Contact Center - Intelligent agents for call routing, resolution, and digital containment<br>•&nbsp;Provider Data Management - Data intake, validation, and directory accuracy<br>•&nbsp;Care Management &amp; Utilization Review - AI-assisted case management and risk identification<br>•&nbsp;Revenue Cycle &amp; Payment Integrity - Fraud, waste, and abuse detection using AI</div><br/><br/><b>Required Skills & Experience:</b><br/><div>•&nbsp;6–12+ years of experience in software engineering, AI, or related fields<br>•&nbsp;Strong software engineering background (Python, APIs, microservices)<br>•&nbsp;Experience with LLMs, prompt engineering, and AI frameworks<br>•&nbsp;Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)<br>•&nbsp;Cloud experience with Amazon Web Services, Microsoft (Azure)<br>•&nbsp;Experience building AI/ML or LLM-powered applications<br>•&nbsp;Understanding of structured + unstructured data pipelines<br>•&nbsp;Knowledge of model evaluation, monitoring, and governance<br>•&nbsp;Ability to work directly with business stakeholders<br>•&nbsp;Strong problem-solving and communication skills<br>•&nbsp;Experience in rapid prototyping and iterative delivery<br>•&nbsp;Experience in U.S. healthcare payer or PBM environments<br>•&nbsp;Understanding of claims, prior auth, or care management workflows<br>•&nbsp;Familiarity with regulatory and compliance considerations (HIPAA, etc.)<br>•&nbsp;Prior experience in client-facing or consulting roles preferred</div><br/><br/><b>What Makes This Role Unique</b><br/><div><br>•&nbsp;Work at the forefront of AI-driven enterprise transformation<br>•&nbsp;Build real-world AI agents that replace traditional workflows<br>•&nbsp;Operate in a forward-deployed model with direct business impact<br>•&nbsp;Opportunity to scale from small pods to enterprise-wide transformation programs</div><br/><br/><b>Success Metrics: </b><br/><div>•&nbsp;Number of business workflows transformed using AI<br>•&nbsp;Reduction in manual effort / cost-to-serve<br>•&nbsp;Adoption of AI tools by business teams<br>•&nbsp;Speed of prototyping → production deployment</div><br/><br/><b>Nice to Have: </b><br/><div>•&nbsp;Experience with healthcare platforms (claims, CRM, contact center)<br>•&nbsp;Exposure to tools like Salesforce, ServiceNow, or Epic integrations<br>•&nbsp;Prior experience with companies like Palantir Technologies or similar forward-deployed models</div>

Forward Deployed AI Engineers (FDEs) - R01563547

Forward Deployed AI Engineer

6–12+ years in software engineering or AI; strong Python, APIs, microservices; experience with LLMs, prompt engineering, agent frameworks; cloud experience (AWS, Azure); healthcare payer domain knowledge preferred; client-facing experience.

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