Lead AI Software Engineer

Humana

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Louisville, KYNashville, TNTampa, FLFort Lauderdale, FLDallas, TX
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $192k

$129k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$222,125.

Based on 240 similar postings.

Employer

About Humana

Humana Inc. is a leading American for-profit health insurance company based in Louisville, Kentucky, specializing in Medicare Advantage plans.

Humana currently has 60 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 23 roles with salary data.

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At a glance

TL;DR · Lead AI Software Engineer

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JOB TITLE: Lead AI Software Engineer The Lead AI Software Engineer joins a team of engineers and data scientists to design, develop, and scale production-grade AI solutions. This role involves building end-to-end AI applications, including APIs, microservices, data pipelines, and orchestration layers. You will lead technical initiatives, drive architecture decisions, and establish engineering standards for cloud-native platforms. Key responsibilities include mentoring staff, conducting code reviews, and implementing evaluation frameworks for responsible AI. The position requires expertise in Python, Java, and distributed systems, with specific experience in large language models, generative AI, RAG, vector databases, and intelligent document processing. You will solve complex engineering challenges by integrating machine learning capabilities into enterprise-scale environments, ensuring that all AI-powered products are reliable, secure, observable, and cost-efficient within an agile delivery framework.

Skills

Python Java Large Language Models Generative AI MLOps RAG Vector Databases AWS GCP Azure Microservices APIs Data Pipelines Distributed Systems Agile OCR Semantic Search Embeddings

What you'll do

Design and build scalable, secure, cloud-native AI platforms and services.
Architect solutions leveraging generative AI, large language models, and intelligent document processing.
Build end-to-end AI solutions including APIs, microservices, data pipelines, and orchestration layers.
Lead design reviews, code reviews, and technical planning for strategic AI initiatives.
Establish engineering standards, reusable frameworks, and best practices for large-scale delivery.
Implement evaluation, testing, and validation frameworks for AI-powered applications.
Drive responsible AI practices focused on reliability, security, compliance, and risk management.
Mentor and develop software engineers and data scientists through technical coaching and hands-on collaboration.

What we're looking for

8+ years of software engineering experience with demonstrated technical leadership.
Proven experience building and delivering large-scale, production-grade software platforms.
Strong backend development expertise with Python, Java, or similar languages.
Experience designing distributed systems and cloud-native applications.
Demonstrated ability to lead technical initiatives from architecture through deployment.
Experience working in agile environments with frequent delivery and iteration.
Hands-on experience building and deploying AI, machine learning, or generative AI solutions in production (preferred).
Experience with LLMs, AI orchestration frameworks, and cloud platforms like GCP, AWS, or Azure (preferred).

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