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Humana

Lead AI Software Engineer

Humana

. Serve as technical lead for strategic AI initiatives, driving architecture, design decisions, and engineering excellence .

Posted 11/4/2026full-timeUnited StatesSenior💰 $129,300 - $177,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and building scalable, cloud-native AI platforms, with a strong focus on architecture, engineering excellence, and technical leadership. Proficient in leading AI initiatives, mentoring teams, and ensuring compliance with enterprise standards for operational readiness and governance.

Highest-signal resume keywords
Technical LeadershipCloud-Native Application DevelopmentAI Solution ArchitectureBackend Development with Python or JavaAgile Delivery Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI DevelopmentMachine LearningLarge Language ModelsDistributed Systems DesignAPI DevelopmentMicroservices ArchitectureData EngineeringGenerative AI SolutionsEvaluation FrameworksPerformance Optimization
Soft Skills
Strong CommunicationStakeholder ManagementMentoringInnovationAccountability
Tools & Technologies
GCPAWSAzureAI Orchestration FrameworksVector DatabasesSemantic SearchOCRIntelligent Document Processing
Industry Keywords
Software EngineeringCloud ArchitectureOperational ExcellenceRegulated Enterprise EnvironmentsAgile Environments

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaMicroservicesPython

About the role

Key responsibilities & impact
  • Serve as 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
  • Provide technical guidance across the full software development lifecycle
  • 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 scalable, reliable, observable, and cost-efficient solutions
  • Drive technical execution from concept through production deployment in an agile delivery environment
  • Evaluate and adopt emerging AI technologies
  • Mentor and develop software engineers and data scientists
  • Promote best practices in software engineering, AI development, cloud architecture, and operational excellence
  • Foster innovation, accountability, continuous learning, and high-quality execution
  • Help teams balance rapid delivery with long-term maintainability and technical 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

Requirements

What you’ll need
  • 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
  • Hands-on experience building and deploying AI, machine learning, or generative AI solutions in production
  • Experience with Large Language Models (LLMs) and modern AI application architectures
  • Knowledge of AI orchestration frameworks, agent-based systems, and model-serving platforms
  • Experience with GCP, AWS, or Azure cloud platforms
  • Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document processing
  • Background in data engineering, data science, or MLOps
  • Experience building APIs, microservices, and event-driven architectures
  • Experience operating within complex or highly regulated enterprise environments
  • Strong communication and stakeholder management skills
  • Advanced degree in Engineering, Data Science, or related field

Benefits

Comp & perks
  • Bonus incentive plan based on company and/or individual performance
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • 401(k) retirement savings plan
  • Paid time off
  • Company holidays
  • Personal holidays
  • Paid parental leave
  • Paid caregiver leave
  • Short-term disability
  • Long-term disability
  • Life insurance
  • Personal wellness support
  • Healthcare decision support