Lead Enterprise AI/ML DevOps Engineer
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As a Lead AI/ML DevOps Engineer at Humana, you will be responsible for leading the development, deployment, and monitoring of AI/ML models and systems. You will work closely with data scientists, software engineers, and other stakeholders to ensure the successful implementation of AI/ML solutions. Additionally, you will focus on streamlining the deployment process, ensuring the scalability and reliability of AI/ML models, and monitoring their performance.
Key Responsibilities
- Develop and enforce governance policies and standards across all deployment pipelines to ensure consistency and efficiency.
- Drive the DevOps governance adoption, implementing controls to streamline the software delivery process and improve reliability.
- Establish and monitor DORA (DevOps Research and Assessment) metrics to assess performance and identify areas for improvement.
- Create, maintain, and enhance dashboards to provide visibility into key performance indicators (KPIs) and operational metrics.
- Champion a DevOps mindset, promoting agility, speed, and efficiency in the software delivery process.
- Explore and implement ways to deliver software faster, without compromising on quality or reliability.
- Collaborate with development, operations, and security teams to ensure alignment with governance policies and best practices.
- Lead efforts to automate and optimize CI/CD pipelines and infrastructure.
- Mentor and guide a team of DevOps engineers, fostering a culture of continuous improvement and collaboration.
- Focus on key DevOps pillars, including continuous integration (CI), continuous delivery (CD), quality, security, compliance, metrics, and reporting.
- Ensure compliance with security and regulatory requirements throughout the software delivery lifecycle.
- Use metrics and KPIs to drive performance improvements and transparency within the DevOps function.
Required Qualifications
- Bachelor's degree in computer science, Engineering, or a related field.
- 10+ years of experience as a DevOps Engineer, with a focus on governance, cloud infrastructure, and automation.
- Extensive experience with cloud platforms such as AWS, Azure, or GCP.
- Strong knowledge of CI/CD tools like Azure DevOps Pipelines and GitHub Actions
- Proficiency in scripting languages such as Python, Bash, or similar.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with infrastructure as code tools such as Terraform, Ansible, or similar.
- Excellent problem-solving skills and a proactive attitude.
- Strong communication and leadership abilities.
Preferred Qualifications
- Master's Degree
- LLM model DevOps experience
- API and AI gateway management experience
Additional Information
- Dedicated workspace required to protect PHI / HIPAA information.
- Minimum internet speed: 25 Mbps download, 10 Mbps upload.
- Occasional travel may be required for training or meetings.
Scheduled Weekly Hours
40
Pay Range
$129,300 - $177,800 per year (bonus eligible)
Benefits
Humana offers competitive medical, dental, vision, 401(k), paid time off, disability, life insurance, and more.
About Humana
Bringing you the human side of healthcare.
Since 1961, Humana has been committed to helping people live healthy and happy. Our approach is simple — offer personalized care from people who care. We do this by listening to our members and creating solutions to help them reach the best version of themselves.
We're deeply invested in towns and cities across the country, and strive to support and improve communities at a local level.
Humana provides insurance and healthcare services, serving millions of people and focusing on delivering the care and service they need, whenever they need it.
As a leader in healthcare, Humana also addresses social, economic, and environmental challenges to improve lives and communities.
Equal opportunity employer.
November 29, 2025
5-7 business days
After submission
- •Role explicitly centers on deploying and monitoring AI/ML models and systems — a direct applied AI use case.
- •Clear workflow integration signals: automation and optimization of CI/CD pipelines, infrastructure-as-code, container orchestration, and monitoring/dashboards.
- •Strong strategic scope: governance adoption, DORA metrics, compliance, and driving DevOps practices for AI/ML deliverables.
This Lead AI/ML DevOps Engineer role scores well on foundational needs: it offers a clear, competitive salary range, standard benefits, full‑time employment, and the stability of a long‑established healthcare company. The position provides high levels of responsibility, measurable impact (governance, DORA metrics), and leadership opportunities — satisfying esteem needs. Cultural/team details and explicit long‑term growth provisions are less detailed, limiting evidence for belonging and self‑actualization. The PHI/HIPAA remote workspace requirement and lack of clarity about team size/resources are the primary concerns a candidate should probe.
- •PHI/HIPAA dedicated workspace requirement for remote work may impose home‑office controls, audits, or additional compliance burden; this can limit flexibility and raise privacy/logistics concerns.
- •Role has broad remit (governance, cloud, CI/CD, security/compliance, team mentoring, DORA metrics, LLM DevOps preferred) but job posting lacks clarity on team size and resources — risk of overextension or unclear support.
- •No explicit mention of dedicated professional development budget, formal career progression, or time allocation for upskilling (despite advanced/rapidly changing areas like LLM DevOps and AI gateways).
- •Clear, competitive compensation range and benefits package
- •Strong evidence of stability and institutional credibility (large, established healthcare company)
- •Senior leadership responsibilities with measurable governance and metrics (DORA, KPIs) — high impact and visibility
- •Can you describe the team this role will lead/partner with (team size, direct reports, reporting manager, and cross-functional peers) and the expected distribution of my time between hands-on engineering, governance, and people management?
- •What are the day‑to‑day responsibilities and the top 3 objectives for the first 90 days (specific projects or KPIs such as which DORA metrics or ML models will be the initial focus)?
- •What are the exact remote/PHI requirements for home workspaces (any required audits, equipment provided by Humana, encryption/VPN policies, or periodic compliance checks)?
Location
Salary Range
$129k - $178k
Employment Type
Full-time
Experience Level
Senior
Posted
October 23, 2025 (1 week ago)
3 Simple Steps
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