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# Lead AI Software Engineer

- **Company:** Humana Inc.
- **Location:** Nashville, TN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $129,300.0 - $177,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Computing Platforms, Optical Character Recognition (OCR), Microsoft Azure, Cloud Engineering, Code Review, Information Engineering, Database Applications, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Software Engineering, Spring Cloud, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Event Driven Architecture, Build Management, AI Platforms, Api Design, Data Pipelines, Microservices
- **Published:** September 12, 2026
- **Apply:** https://www.nashvillejobsite.com/job.asp?id=3387065698&tx=UT6258THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 8+ years of software engineering experience withdemonstratedtechnical leadership.
 * Proven experience building and delivering large-scale, production-grade software platforms.
 * Strong backend developmentexpertisewith 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.

Preferred Qualifications

 * Hands-on experience building and deploying AI, machine learning, or generative AI solutions in production.
 * Experience with Large Language Models (LLMs) and modern AI application architectures.
 * Knowledge of AI orchestration frameworks, agent-based systems, and model-serving platforms.
 * Experience with GCP, AWS, or Azure cloud platforms.
 * Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document processing.
 * Background in data engineering, data science, orMLOps.
 * Experience building APIs, microservices, and event-driven architectures.
 * Experienceoperatingwithin complex or highly regulated enterprise environments.
 * Strong communicationand stakeholder management skills.

## Description

Technical Leadership & Architecture

 * Serve as the technical lead for strategic AI initiatives, driving architecture, design decisions, and engineering excellence.
 * Design and build scalable, secure, cloud-native AI platforms and services.
 * Architect solutionsleveraginggenerative AI, large language models, intelligent document processing, and data-driven applications.
 * Lead design reviews, code reviews, and technical planning efforts.
 * Establish engineering standards, reusable frameworks, and best practices that enable teams to deliver atscale.
 * Providetechnical guidance across the full software development lifecycle.

AI Solution Development

 * Build end-to-end AI solutions, including APIs, microservices, data pipelines, orchestration layers, and evaluation frameworks.
 * Develop production-grade applications integrating AI and machine learning capabilities.
 * Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable, observable, and cost-efficient.
 * Drive technical execution from concept through production deployment in an agile delivery environment.
 * Evaluate and adopt emerging AI technologies to accelerate innovation and business value.

Mentorship & Team Leadership

 * Mentor and develop software engineers and data scientists through technical coaching and hands-on collaboration.
 * Promote best practices in software engineering, AI development, cloud architecture, and operational excellence.
 * Foster a culture of innovation, accountability, continuous learning, and high-quality execution.
 * Help teams balance rapid delivery with long-term maintainability and technical excellence.

AI Governance & Operational Excellence

 * Implement evaluation, testing, and validation frameworks for AI-powered applications.
 * Support monitoring, performance optimization, and incident response for AI systems in production.
 * Drive responsible AI practices focused on reliability, security, compliance, and risk management.
 * Ensure AI solutions meet enterprise standards for scalability, operational readiness, and governance., This is a hybrid role based in one of our technology hub locations: Louisville, KY; Nashville, TN; Tampa, FL; Fort Lauderdale, FL; or Dallas, TX . Team members are expected to work onsite several days per week to collaborate with engineering, product, and business partners while maintaining flexibility to work remotely.


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