Skills this job asks for
LeadershipLLMsMicroservicesData engineeringMachine learningAgileComplianceRisk managementPythonJava
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Humana INC paid sponsored hires in similar roles34 certified filings for “Senior Software Engineer” (Software Developers) in KY: $124k–$136k, median $131k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 34 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).
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.
About the role
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We're seeking a Lead AI Software Engineer to help build the next generation of AI-powered products and platforms. This is a hands-on technical leadership role focused on designing, developing, and scaling production-grade AI solutions that deliver real business impact.
You will work closely with engineers, data scientists, product leaders, and architects to turn innovative ideas into real-world applications using modern AI technologies, including large language models (LLMs), intelligent automation, and cloud-native architectures. If you're passionate about building, mentoring, and solving complex engineering challenges, this is an opportunity to help shape the future of Applied AI.
While this role provides mentorship and technical leadership to a talented group of engineers and data scientists, it remains strongly anchored in design, development, and execution within a fast-moving, enterprise-scale environment.
Responsibilities
Technical Leadership & Architecture
• Serve as the technical lead for strategic AI initiatives, driving architecture, design decisions, and engineering excellence.
• Design and build scalable, secure, cloud-native AI platforms and services.
• Architect solutions leveraging generative AI, large language models, intelligent document processing, and data-driven applications.
• Lead design reviews, code reviews, and technical planning efforts.
• Establish engineering standards, reusable frameworks, and best practices that enable teams to deliver at scale.
• Provide technical guidance across the full software development lifecycle.
AI Solution Development
• Build end-to-end AI solutions, including APIs, microservices, data pipelines, orchestration layers, and evaluation frameworks.
• Develop production-grade applications integrating AI and machine learning capabilities.
• Partner with platform, infrastructure, and DevOps teams to ensure solutions are scalable, reliable, observable, and cost-efficient.
• Drive technical execution from concept through production deployment in an agile delivery environment.
• Evaluate and adopt emerging AI technologies to accelerate innovation and business value.
Mentorship & Team Leadership
• Mentor and develop software engineers and data scientists through technical coaching and hands-on collaboration.
• Promote best practices in software engineering, AI development, cloud architecture, and operational excellence.
• Foster a culture of innovation, accountability, continuous learning, and high-quality execution.
• Help teams balance rapid delivery with long-term maintainability and technical excellence.
AI Governance & Operational Excellence
• Implement evaluation, testing, and validation frameworks for AI-powered applications.
• Support monitoring, performance optimization, and incident response for AI systems in production.
• Drive responsible AI practices focused on reliability, security, compliance, and risk management.
• Ensure AI solutions meet enterprise standards for scalability, operational readiness, and governance.
Use your skills to make an impact
Required Qualifications
• Bachelor's degree in Engineering, Data Science, or related field.
• 8+ years of software engineering experience with demonstrated technical leadership.
• Proven experience building and delivering large-scale, production-grade software platforms.
• Strong backend development expertise with Python, Java, or similar languages.
• Experience designing distributed systems and cloud-native applications.
• Demonstrated ability to lead technical initiatives from architecture through deployment.
• Experience working in agile environments with frequent delivery and iteration.
Preferred Qualifications
• Hands-on experience building and
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