Remote Principal Engineer - AI-Powered Quality Solutions

Humana

United States

Remote

USD 157,000 - 215,000

Full time

14 days+

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Job summary

Humana’s Enterprise Quality Engineering organization is building an AI‑native quality engineering ecosystem that combines intelligent platforms, enterprise knowledge, automation, and agentic AI. We are transforming how software is designed, tested, released, and improved across the enterprise.

The Principal Software Engineer, Intelligent Quality Solutions leads hands‑on work to craft production‑grade AI‑powered software, reusable frameworks, and autonomous agents, partnering with data, security,

Qualifications

Bachelor's degree in Computer Science, Software Engineering, or a related field.
12+ years of experience designing and building enterprise software applications, services, or platforms.
Hands‑on experience designing, developing, deploying, and supporting AI‑powered software applications in production environments.
Demonstrated experience building applications that use large language models, generative AI, agentic AI, machine learning, or modern AI orchestration frameworks.
Strong software engineering expertise across cloud‑native architectures, APIs, distributed systems, modern design patterns, and secure software development.
Experience building scalable enterprise platforms or reusable enterprise capabilities.
Experience integrating AI capabilities into enterprise software products, platforms, or engineering workflows.
Proven success working in innovative, experimentation‑driven engineering environments where rapid prototyping, continuous learning, and technical curiosity are core to team success.
Demonstrated ability to independently lead complex technical initiatives from concept through production implementation.
Strong understanding of DevOps, CI/CD, observability, engineering governance, and software lifecycle management.
Excellent communication skills, with the ability to influence technical direction across multiple teams and communicate effectively with both technical and executive stakeholders.

Responsibilities

Develop AI‑powered software solutions for Enterprise Quality Engineering.
Develop intelligent applications, AI services, APIs, and reusable frameworks.
Create and enhance AI agents that improve software testing, quality, and engineering productivity.
Build scalable, secure, and production‑ready enterprise software.
Integrate AI capabilities into software development and quality engineering processes.
Evaluate latest AI technologies and prototype solutions.
Provide technical leadership, architecture guidance, and mentorship across engineering projects.
Partner with engineering, architecture, product, security, and data teams to create enterprise solutions.
Establish best practices for AI development, governance, security, and observability.
Help shape the long‑term AI and quality engineering strategy.