Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are seeking a Lead AI Engineer to build the next generation of AI-powered experiences, platforms, and intelligent workflows. This hands-on technical leadership role is for individuals who excel at solving complex problems, developing production-grade systems, and translating emerging AI capabilities into tangible business outcomes. You will operate at the intersection of software engineering, AI, product development, and platform architecture, guiding teams from concept to production.

Responsibilities

Design and deliver AI-powered capabilities that solve meaningful business problems.
Develop solutions using large language models, retrieval-augmented generation (RAG), autonomous agents, semantic search, and other modern AI techniques.
Own technical architecture from prototype through production deployment.
Create reusable platform capabilities that accelerate future AI development.
Serve as a technical leader and trusted advisor across multiple teams.
Mentor engineers and help raise the overall technical bar.
Drive engineering best practices around architecture, testing, deployment, observability, and operational excellence.
Conduct design and code reviews while helping teams navigate complex technical decisions.
Evaluate emerging AI technologies, frameworks, and approaches.
Rapidly prototype new ideas and determine where they can create real value.
Bring a practical mindset to innovation—separating hype from opportunity.
Help define the organization's long-term AI engineering strategy.
Design cloud-native systems capable of supporting enterprise-scale usage.
Optimize performance, reliability, scalability, and operational costs.
Develop integration patterns connecting AI capabilities to enterprise systems, knowledge sources, APIs, and workflows.
Help establish standards and foundations that enable many teams to build on top of AI safely and efficiently.
Ensure solutions meet security, privacy, compliance, and governance requirements.
Define evaluation strategies that measure quality, accuracy, safety, and business impact.
Help establish best practices for AI observability, monitoring, and risk management.

Requirements

8+ years of software engineering experience.
3+ years building or leading production AI/ML solutions.
Strong experience with large language models, AI orchestration frameworks, vector search, RAG, and prompt engineering.
Proficiency in Python and at least one additional modern programming language, preferably C#/.Net.
Experience building cloud-native applications in Azure, AWS, or GCP.
Strong understanding of software engineering fundamentals, system design, APIs, CI/CD, testing, and DevSecOps.
Demonstrated ability to lead complex technical initiatives and influence across teams.
Experience building agentic or autonomous AI systems.
Experience developing reusable AI platforms and shared services.
Familiarity with model evaluation frameworks, fine-tuning, or advanced ML techniques.
Experience building developer productivity or AI-assisted engineering solutions.
Experience operating in regulated or highly governed environments.
Open-source contributions, patents, technical publications, or conference speaking experience.
Get excited about building things that don't exist yet.
Can move comfortably between architecture diagrams, source code, and executive conversations.
Know when to innovate and when to simplify.
Enjoy mentoring other engineers and helping teams succeed.
Care as much about outcomes as you do technology.
Have a healthy skepticism of buzzwords and a passion for delivering real value.
Self-provided internet service must meet minimum criteria: 25 Mbps download and 10 Mbps upload.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Skills

Large language models
Retrieval-augmented generation (RAG)
Autonomous agents
Semantic search
AI orchestration frameworks
Vector search
Prompt engineering
Python
C#/.Net
Cloud-native applications
Azure
AWS
GCP
Software engineering fundamentals
System design
APIs
CI/CD
Testing
DevSecOps
Observability
Operational excellence
Model evaluation frameworks
Fine-tuning
Advanced ML techniques
AI observability
Monitoring
Risk management

Location

Remote

Work Type

Full-time
Remote

Experience Level

Lead
8+ years of software engineering experience
3+ years building or leading production AI/ML solutions

Salary/Compensations

$129,300 - $177,800 per year

Benefits

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Time off
Paid time off
Company holidays
Personal holidays
Paid parental leave
Paid 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 our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve 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.