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About the Role

The Enterprise AI organization at Humana is driving AI development across its Insurance and CenterWell business segments, delivering cutting-edge AI technologies to improve care quality and consumer experience. This role will architect and deliver advanced AI systems integrating Generative AI capabilities and agents into secure, scalable healthcare platforms. It defines technical standards for AI deployment, ensuring reliability, measurability, and compliance with healthcare regulations and ethical guidelines, while aligning with enterprise architecture and business strategy.

Responsibilities

Architect comprehensive end-to-end AI systems, including RAG pipelines with multi-stage retrieval and re-ranking, agent orchestration systems, and multi-model integrations.
Define rigorous standards for prompt engineering, including templates, versioning, and testing methodologies.
Establish comprehensive evaluation metrics that capture both technical performance and business value.
Develop performance optimization strategies for model selection, caching, and resource utilization.
Lead deployment of AI systems into production environments with strong observability, reliability, and monitoring.
Design scalable data ingestion architectures for diverse data sources.
Implement efficient retrieval architectures using vector databases and hybrid search approaches.
Develop data preprocessing pipelines that clean and enrich data for AI consumption.
Establish data quality monitoring to ensure AI systems operate on high-quality inputs.
Drive quantitative evaluation and continuous improvement of AI systems through evaluation frameworks, A/B testing, and analysis of user feedback and system telemetry.
Collaborate strategically with platform teams to ensure infrastructure readiness for demanding AI workloads.
Define requirements for AI-specific platform capabilities, such as model serving infrastructure and feature stores.
Partner on integration of AI systems with enterprise services.
Mentor engineers at various levels through technical guidance, code reviews, architecture discussions, and career development support.
Elevate AI engineering best practices across the organization through creation of documentation, delivery of training sessions, and establishment of communities of practice.
Foster a culture of responsible AI development that prioritizes ethics, transparency, and user benefit.
Ensure AI solutions rigorously meet healthcare compliance requirements through comprehensive documentation of system behavior and decision logic.
Implement ethical standards to prevent algorithmic bias and ensure fairness.
Adhere to regulatory frameworks, including HIPAA, FDA guidance for clinical decision support, and emerging AI-specific regulations.

Requirements

Over 7 years of experience in software engineering with a strong focus on applied AI/ML.
Experience building and operating distributed systems at scale.
Experience developing full-stack architectures that combine backend services with modern web applications.
Leadership of significant projects that delivered measurable business impact through AI capabilities.
Demonstrated deep expertise designing and deploying production-grade generative AI systems, including RAG architectures, agent orchestration frameworks, multi-model systems, and conversational AI systems.
Experience managing complex AI initiatives across multiple teams with different specializations.
Ability to translate high-level business objectives into concrete AI system designs and technical roadmaps.
Ability to coordinate implementation across frontend, backend, data, and infrastructure teams.
Ability to drive projects from conception through production deployment and ongoing optimization.
Strong technical proficiency in Python, including advanced language features and design patterns.
Extensive experience with modern web application frameworks, such as React and FastAPI.
Deep knowledge of AI-specific technologies, including vector databases, embedding models, LLM APIs, and orchestration frameworks.
Demonstrated experience establishing organization-wide best practices for prompt engineering, including systematic testing and version control.
Experience with comprehensive evaluation frameworks that combine automated metrics with human assessment.
Experience with model observability, including tracking of costs and performance.
Experience with performance benchmarking methodologies.
Deep familiarity with responsible AI principles, including fairness, accountability, transparency, and ethics.
Understanding of governance considerations for AI systems, including model risk management and validation requirements.
Practical experience addressing deployment challenges in regulated environments, including testing, documentation, change management, and ongoing monitoring requirements.

Skills

Applied AI/ML
Distributed Systems
Full-Stack Architectures
Backend Services
Web Applications
Generative AI
RAG Architectures
Agent Orchestration
Multi-Model Systems
Conversational AI
Python
React
FastAPI
Vector Databases
Embedding Models
LLM APIs
Orchestration Frameworks
Prompt Engineering
Model Observability
Performance Benchmarking
Responsible AI Principles
AI Governance
Model Risk Management

Location

New York City
Louisville, KY
Dallas, TX

Work Type

Hybrid
Full-time

Experience Level

Lead
7+ years

Education Level

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience

Salary/Compensations

$170,800 - $234,800 per year

Benefits

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
Short-term disability
Long-term disability
Life insurance
Bonus incentive plan

About the Company

Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company.
Through its Humana insurance services and its CenterWell healthcare services, it makes it easier for millions of people to achieve their best health – delivering the care and service they need, when they need it.
These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status.
It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements.
This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.