Jobs / United States / Humana INC
Lead AI Engineer
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 roles34 certified filings for “Senior Software Engineer” (Software Developers) in KY: $124k–$136k, median $131k. Most were filed at wage level IV (86%) — 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 You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us • Lead the architecture of production AI systems where LLMs are foundational to the product experience. • Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. • Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. • Influence engineering culture and establish standards that shape how the team builds and ships AI products. • Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. • Partner with highly skilled engineers while remaining deeply hands-on in coding, design, and production operations. • Simplify complex solutions and drive pragmatic engineering decisions that maximize business value. Key Responsibilities • Own the architecture, design, and evolution of full-stack AI applications, including LLM pipelines, retrieval systems, agentic workflows, human-in-the-loop processes, and supporting platform services. • Design and implement scalable AI solutions that prioritize reliability, accuracy, auditability, performance, and cost efficiency. • Build and maintain the most complex and high-risk system components where architecture and implementation decisions have significant business impact. • Define and enforce engineering standards for AI systems, including evaluation methodologies, structured outputs, observability, testing, fallback strategies, latency optimization, and cost controls. • Lead technical design reviews and guide architecture decisions related to platform capabilities, AI systems, integrations, infrastructure, and software patterns. • Evaluate and recommend technologies, frameworks, AI models, and third-party solutions based on technical and business requirements. • Translate ambiguous business goals into clear technical strategies, roadmaps, and executable workstreams. • Provide technical leadership across multiple projects, ensuring alignment with architectural standards and long-term platform objectives. • Mentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance. • Partner with product, engineering, clinical, and operational stakeholders to deliver solutions that meet business and regulatory requirements. • Own operational excellence, including deployment strategies, monitoring, incident management, and production reliability. • Ensure all solutions comply with privacy, security, governance, and audit requireme