Principal Software Engineer, Intelligent Quality Solutions

Humana Inc.
Juneau, AK, United States
1 day ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$156,600.0 - $215,400.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Application Programming Interfaces (APIs) Artificial Intelligence Application Frameworks Application Lifecycle Management Software Applications Microsoft Azure Cloud Engineering Continuous Integration DevOps Distributed Systems Internet Services
+18 more
Machine Learning Rapid Prototyping Process Search Technologies Software Engineering Software Systems Systems Integration Enterprise Software Applications Modern Ui Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering IT Architecture Software Application Programming Generative AI AI Platforms Information Technology Virtual Agents

Job description

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.

Requirements

  • 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., * 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.

Benefits & conditions

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.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

5:25 min

Maintaining separation of concerns in modern UI frameworks

Chris Heilmann +2 · LIVE

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · World Congress 2026 Europe

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all

Related articles

See all