# Lead AI Applied Engineer **Company**: Humana Inc. **Location**: New York, NY **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $170,800 - $234,800 per year **Category**: Engineering **Industry**: Healthcare **Apply**: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Lead-AI-Applied-Engineer_R-425558?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_0890893a-03d ## Description We are seeking a Lead AI Applied Engineer to provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. Responsibilities: - Own the architecture, design, and evolution of full-stack AI applications, including LLM pipelines, retrieval systems, agentic workflows, human-in-the-loop processes, and supporting platform services. - Design and implement scalable AI solutions that prioritize reliability, accuracy, auditability, performance, and cost efficiency. - Build and maintain the most complex and high-risk system components where architecture and implementation decisions have significant business impact. - Define and enforce engineering standards for AI systems, including evaluation methodologies, structured outputs, observability, testing, fallback strategies, latency optimization, and cost controls. - Lead technical design reviews and guide architecture decisions related to platform capabilities, AI systems, integrations, infrastructure, and software patterns. - Evaluate and recommend technologies, frameworks, AI models, and third-party solutions based on technical and business requirements. - Translate ambiguous business goals into clear technical strategies, roadmaps, and executable workstreams. - Provide technical leadership across multiple projects, ensuring alignment with architectural standards and long-term platform objectives. - Mentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance. - Partner with product, engineering, clinical, and operational stakeholders to deliver solutions that meet business and regulatory requirements. - Own operational excellence, including deployment strategies, monitoring, incident management, and production reliability. - Ensure all solutions comply with privacy, security, governance, and audit requirements within a regulated healthcare environment. Requirements: - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 8+ years of software engineering experience, including experience designing and operating production systems at scale. - Proven track record of delivering AI-enabled products or platforms into production environments. - Deep hands-on experience integrating and operating LLMs within business-critical workflows. - Experience designing systems that leverage structured outputs, tool calls, retrieval-augmented generation (RAG), agentic workflows, orchestration frameworks, and evaluation pipelines. - Experience making architectural decisions for systems where AI is a core component of the product experience. - Demonstrated success leading technical initiatives across engineering teams, including architecture reviews, technical planning, mentoring, and delivery execution. - Strong programming skills in Python and/or TypeScript/JavaScript. - Experience designing and operating distributed systems, APIs, data platforms, and cloud-native applications. - Strong understanding of reliability engineering, system performance, scalability, and operational excellence. - Ability to balance technical tradeoffs involving quality, latency, cost, security, and maintainability. Preferred Qualifications: - Experience taking AI products from concept through production deployment and long-term operational ownership. - Experience developing AI systems where LLMs are part of critical decision-support or operational workflows. - Expertise in evaluation frameworks, benchmark datasets, regression testing, model quality measurement, and human review processes. - Experience with agentic systems, Model Context Protocol (MCP), workflow orchestration, multi-step reasoning frameworks, and AI observability platforms. - Experience with React, Next.js, modern frontend technologies, and full-stack application development. - Experience deploying and managing workloads using Kubernetes, Docker, modern CI/CD platforms, and cloud-native technologies. - Experience with Google Cloud Platform, Azure, AWS, Vertex AI, or comparable AI and cloud infrastructure platforms. - Experience working in highly regulated industries such as healthcare, financial services, or government. - Knowledge of privacy, compliance, security, and governance frameworks impacting AI and data-driven applications. - Experience implementing AI-assisted development practices that improve engineering productivity and delivery speed. - Excellent communication, collaboration, problem-solving, and leadership 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 Work Schedule: Hybrid (3 days in office, 2 days remote) Scheduled Weekly Hours: 40 Pay Range: $170,800 - $234,800 per year ## Skills ### Required - Python - TypeScript/JavaScript - LLMs - AI engineering - Cloud-native applications - Distributed systems - APIs - Data platforms ### Nice to have - Agentic systems - Model Context Protocol (MCP) - Workflow orchestration - Multi-step reasoning frameworks - AI observability platforms - React - Next.js - Kubernetes - Docker - Google Cloud Platform - Azure - AWS - Vertex AI --- Source: [Apply at humana.wd5.myworkdayjobs.com](https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Lead-AI-Applied-Engineer_R-425558?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)