# Senior AI Applied Engineer

**Company**: Humana
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $141,100 - $194,000 per year
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Senior-AI-Applied-Engineer_R-425562?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_91bd3489-e0a

## Description

We are seeking a Senior AI Applied Engineer to join our team. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States.

Responsibilities:

- Design, develop, and deploy full-stack AI-powered applications, including frontend experiences, APIs, backend services, and data pipelines.

- Build and optimize LLM-based workflows for information extraction, classification, retrieval, summarization, and agentic processes.

- Develop robust prompt strategies, structured output frameworks, tool-calling capabilities, and fallback mechanisms to improve reliability.

- Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies.

- Build evaluation frameworks, including benchmark datasets, regression testing, quality metrics, and human review workflows.

- Develop human-in-the-loop processes that enable clinicians and domain experts to validate AI outputs and provide feedback for continuous improvement.

- Build and maintain document-processing pipelines, including OCR, document ingestion, metadata extraction, indexing, and search capabilities.

- Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.

- Implement observability, monitoring, logging, alerting, and incident response processes for production systems.

- Deploy and operate services in cloud-native environments using Kubernetes, Docker, CI/CD pipelines, and modern infrastructure tooling.

- Collaborate with product, engineering, clinical, and operational stakeholders to translate complex business requirements into scalable solutions.

- Ensure solutions meet privacy, security, compliance, and auditability requirements within a regulated healthcare environment.

Requirements:

- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative or related technical discipline, or an equivalent combination of education and practical experience.

- 5+ years of experience building and operating production software systems.

- Experience developing backend services, APIs, distributed systems, or data-intensive applications.

- Hands-on experience integrating LLMs into production applications beyond simple chat interfaces, including structured outputs, tool calling, retrieval-augmented generation (RAG), agents, or multi-step workflows.

- Experience with at least one major AI platform or model provider such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.

- Strong programming skills in Python and/or TypeScript/JavaScript.

- Experience debugging, monitoring, and supporting production applications used by real customers.

- Ability to work independently, navigate ambiguity, and take ownership of projects from concept through deployment.

Preferred Qualifications:

- Experience building AI systems where LLMs are part of the critical production workflow.

- Experience designing evaluation frameworks, testing strategies, prompt versioning, tracing, and model performance monitoring.

- Experience with agentic architecture, Model Context Protocol (MCP), tool orchestration frameworks, or autonomous workflows.

- Experience with React, Next.js, modern frontend development, and full-stack application architecture.

- Experience deploying and operating workloads in Kubernetes, Docker, and cloud environments.

- Experience with modern CI/CD practices and infrastructure automation.

- Experience working in regulated industries such as healthcare, financial services, or government.

- Familiarity with privacy, compliance, governance, and data protection requirements.

- Experience using AI-assisted development tools to improve engineering productivity and software quality.

- Strong problem-solving, communication, and collaboration skills.

Benefits:

- Medical, dental, and vision benefits

- 401(k) retirement savings plan

- Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)

- Short-term and long-term disability

- Life insurance

Salary: $141,100 - $194,000 per year

## Skills

### Required
- Python
- TypeScript/JavaScript
- LLMs
- AI
- Machine Learning
- Kubernetes
- Docker

### Nice to have
- React
- Next.js
- agentic architecture
- Model Context Protocol (MCP)
- tool orchestration frameworks
- autonomous workflows

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Source: [Apply at humana.wd5.myworkdayjobs.com](https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Senior-AI-Applied-Engineer_R-425562?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)