Jobs / United States / Humana INC
Associate Director, Applied AI
Humana INC · 🇺🇸 3 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Humana INC paid sponsored hires in similar roles3 certified filings for “Associate Director, Technology Solutions” (Computer and Information Systems Managers) in KY: $154k–$179k, median $162k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Humana INC
The US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Humana INC →
About the role
Become a part of our caring community Help shape practical, responsible AI solutions that improve healthcare experiences and outcomes. Humana’s Enterprise AI organization develops safe, scalable AI solutions across our Insurance and CenterWell businesses. We bring together product managers, data scientists, engineers, policy experts, and business leaders to apply emerging technology to meaningful healthcare challenges. As Associate Director of Applied AI, you will lead teams that design, build, and deploy enterprise AI solutions, with a focus on generative AI and intelligent agents. You will connect technical strategy to business needs, guide responsible delivery in a regulated environment, and help teams turn promising ideas into measurable outcomes for members, patients, and associates. Key Responsibilities • Lead and mentor teams developing production-ready AI solutions that improve healthcare delivery, member experiences, and business operations. • Help define and execute the roadmap for applied AI initiatives in alignment with enterprise priorities and business needs. • Guide the evaluation and adoption of machine learning, generative AI, large language models, multimodal models, and intelligent agent technologies. • Oversee scalable APIs, frameworks, data pipelines, retrieval-augmented generation solutions, and agent orchestration capabilities. • Partner with product, data science, engineering, architecture, security, and business teams to translate requirements into reliable solutions. • Establish standards for AI evaluation, observability, performance, security, privacy, maintainability, and operational excellence. • Promote responsible AI practices and compliance with applicable healthcare, data privacy, and security requirements. • Stay current with AI technology and recommend practical opportunities that support Humana’s mission and business goals. Use your skills to make an impact Required Qualifications • 10 or more years of experience in AI/ML product development, engineering, data science, or related technology work, including leadership responsibility. • Experience leading the design, development, and delivery of enterprise AI/ML products or platforms. • Experience delivering generative AI or intelligent agent solutions in a production environment. • Strong knowledge of machine learning fundamentals, model deployment, evaluation, and MLOps practices. • Hands-on proficiency with Python and experience using modern machine learning frameworks. • Experience leading or mentoring engineers, data scientists, or other technical professionals. • Ability to communicate technical concepts clearly and partner effectively across business and technical teams. • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. Preferred Qualifications • Experience applying AI in healthcare or another highly regulated industry. • Experience with retrieval-augmented generation, agent orchestration, multi-agent systems, or multimodal AI. • Experience with frameworks or libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, LangChain, or LlamaIndex. • Experience building scalable APIs with tools such as FastAPI, Flask, or Django. • Experience with Docker, Kubernetes, cloud platforms, and enterprise data pipelines. • Advanced degree in a relevant technical or quantitative field. If this role matches your experience and you are excited to apply AI to meaningful healthcare challenges, we encourage you to apply. Additional Information Work Style Hybrid Work Style: This role follows a hybrid work model and requires in-office collaboration three days per week . Candidates must be located wi