Principal Software Engineer, Intelligent Quality Solutions

Job description

We appreciate that you are interested in pursuing your next career opportunity. As you complete the application below, here are a few tips you should consider:
• Visit Go/Develop for information on professional development, resume guidance, and interview best practices.
• Watch a quick video to discover how Humana’s Career Framework can help you identify meaningful growth opportunities.
• Visit Go/AskARecruiter for expert advice on your job search from our Talent Acquisition Team.
• Tailor your resume to highlight achievements and skills that align with the role you're applying for.
• Update your Workday profile to reflect your key accomplishments and experiences.
• Please read the job description carefully and ensure you meet all required qualifications.
• Consider having a conversation with your current leader about your career goals and interest in this opportunity. Their support can be valuable as you explore your next step.

Job Profile
Principal Software Engineer
Job Level
Principal
Become a part of our caring community
Humana's Enterprise Quality Engineering organization transforms how software quality is engineered across the enterprise. We are building an AI-native quality engineering ecosystem that combines intelligent platforms, enterprise knowledge, automation, and agentic AI to change how software is designed, tested, released, and improved.
The Principal Software Engineer, Intelligent Quality Solutions is a senior individual contributor responsible for building enterprise capabilities that support this transformation. This is a hands-on engineering role for an experienced technology leader who enjoys solving complex technical challenges, building production-ready software, and converting latest AI technologies into scalable enterprise solutions.
You will engineer intelligent applications and AI-enabled services. You will also develop reusable frameworks and autonomous agents. These components serve as the foundation of the Enterprise Quality Intelligence Platform and the broader Enterprise Quality Engineering ecosystem.
Your success requires deep software engineering expertise, demonstrated experience building AI-powered applications in production, and a strong passion for experimentation, innovation, and continuous learning.
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.

Use your skills to make an impact
Required Qualifications
• Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related field.
• 12 or more 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.

Preferred Qualifications
• Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• Experience building multi-agent or agentic AI systems.Experience with Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, or equivalent enterprise AI platforms.
• Experience with retrieval-augmented generation, vector databases, semantic search, prompt engineering, and AI orchestration frameworks.
• Experience developing enterprise developer platforms, internal engineering products, or reusable engineering frameworks.
• Experience working in healthcare, financial services, insurance, or another highly regulated industry.
• Familiarity with responsible AI practices, AI governance, model risk management, data privacy, and security considerations for enterprise AI solutions.

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$156,600 - $215,400 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Referral Bonus Information
This requisition is not eligible for a referral bonus.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.