AI Platform Lead: Production-Grade, Cloud-Native Systems

Humana Inc

United States

Hybrid

USD 129,000 - 178,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings
Paid time off
Disability insurance
Life insurance

Job summary

Humana Inc. is seeking a Lead AI Software Engineer to build and scale production-grade AI platforms using LLMs, intelligent automation, and cloud-native architectures.

This hands-on technical leadership role partners with engineers, data scientists, product leaders, and architects across enterprise-scale environments. You'll mentor teams, drive architecture, oversee API and microservice development, and ensure reliability, security, and governance of AI solutions.

Qualifications

  • 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.

Responsibilities

  • Lead architecture, design decisions, and engineering excellence for AI initiatives.
  • Build scalable, secure, cloud-native AI platforms and services; leverage generative AI and LLMs.
  • Develop end-to-end AI solutions: APIs, microservices, data pipelines, orchestration layers.
  • Mentor software engineers and data scientists; promote best practices in engineering and AI.

Skills

Technical leadership
Backend development (Python/Java)
Distributed systems
Agile environments

Tools

GCP
AWS
Azure

Job description

Humana Inc. is seeking a Lead AI Software Engineer to build and scale production-grade AI platforms using LLMs, intelligent automation, and cloud-native architectures.

This hands-on technical leadership role partners with engineers, data scientists, product leaders, and architects across enterprise-scale environments. You'll mentor teams, drive architecture, oversee API and microservice development, and ensure reliability, security, and governance of AI solutions.

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