Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Take ownership of a complete build stream within a pod, encompassing problem identification, implementation, production operations, and instrumentation.

• Design, construct, and manage production Generative AI agents, workflows, and applications.

• Develop full-stack software utilizing Python and React, which includes services and user interfaces.

• Deploy and manage workloads on AWS by utilizing Terraform and GitHub Actions for CI/CD.

• Implement evaluation, observability, provenance, confirmation controls, and human-in-the-loop mechanisms for AI systems.

• Establish authentication, authorization, logging, monitoring, and error handling protocols to meet enterprise security, auditability, PHI, and reliability standards.

• Integrate AI services with both enterprise and legacy systems through APIs, data platforms, event streams, and versioned contracts.

• Oversee shared capabilities to prevent redundant builds across pods.

• Collaborate with vendor delivery teams when necessary.

• Engage directly with examiners, nurse reviewers, and operations personnel to translate observed work into services, workflows, and UI modifications.

• Mentor Junior AI Engineers, fostering engineering standards, code quality, and operational excellence.

• Diagnose issues, lead root cause analysis, and enhance the latency, throughput, cost efficiency, correctness, and reliability of production AI services.

• Assess and propose enhancements to architecture, platform capabilities, and engineering processes.

• Perform additional responsibilities as assigned.

• Travel as necessary, including on-site engagements with claims or Managed Care operations and vendor delivery teams.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related quantitative field from an accredited institution is required.

• A Master’s degree is preferred.

• A minimum of six (6) years of software engineering experience is required.

• At least three (3) years of experience delivering production Generative AI agents, workflows, or applications, which includes evaluation, failure management, and a human review loop, or an equivalent mix of education and experience.

• Practical experience in building and operating production workloads on AWS is essential; cloud certification without practical ownership is not sufficient.

• Proficiency with Python, React, GitHub Actions, and Terraform, including responsibility for CI/CD and infrastructure.

• Strong full-stack engineering capabilities in Python and React, along with a working knowledge of SQL, REST APIs, and service design.

• Familiarity with implementing enterprise architecture, governance, PHI management, and compliance requirements.

• Experience with Generative AI agents, workflows, applications, tool utilization, orchestration, evaluation, and human-in-the-loop methodologies.

• Excellent mentoring, collaboration, and technical communication abilities.

• Capability to work cooperatively in a fast-paced Transformation Office and collaborate with vendor engineers.

• Experience with machine learning, model fine-tuning, and/or graph databases is preferred.

• Familiarity with PydanticAI or similar agent frameworks, agent observability, and AI Ops/LLMOps is a plus.

• Ability to meet or exceed Performance Competencies.

🏝️ Benefits

• A healthy work-life balance.

• Remote work opportunities for U.S.-based candidates.

• Opportunities for career advancement.

• A supportive and caring workplace culture.

• Travel as necessary, including on-site engagements with claims or Managed Care operations and vendor delivery teams.