
Senior AI Engineer
Tampa, FL · HybridFull-time$118–162K/yrSeen todaySeen in employer's feed today
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Job overview
The Senior AI Applied Engineer designs, builds, deploys, and operates production AI systems for a large health insurer. The role owns solutions end-to-end, from user experiences and APIs through model orchestration, evaluation, infrastructure, and production operations. Systems use large language models to process medical records, provide cited answers, and route ambiguous cases for human review, with emphasis on accuracy, reliability, auditability, and scale.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Become a part of our caring community
Build capabilities that transforms millions of data points into trusted, actionable platforms. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations.
Key Responsibilities
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Design, develop, and deploy full-stack AI-powered applications, including frontend experiences, APIs, backend services, and data pipelines.
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Build and optimize LLM-based workflows for information extraction, classification, retrieval, summarization, and agentic processes.
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Develop robust prompt strategies, structured output frameworks, tool-calling capabilities, and fallback mechanisms to improve reliability.
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Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies.
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Build evaluation frameworks, including benchmark datasets, regression testing, quality metrics, and human review workflows.
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Develop human-in-the-loop processes that enable clinicians and domain experts to validate AI outputs and provide feedback for continuous improvement.
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Build and maintain document-processing pipelines, including OCR, document ingestion, metadata extraction, indexing, and search capabilities.
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Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.
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Implement observability, monitoring, logging, alerting, and incident response processes for production systems.
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Deploy and operate services in cloud-native environments using Kubernetes, Docker, CI/CD pipelines, and modern infrastructure tooling.
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Collaborate with product, engineering, clinical, and operational stakeholders to translate complex business requirements into scalable solutions.
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Ensure solutions meet privacy, security, compliance, and auditability requirements within a regulated healthcare environment.
Use your skills to make an impact
Required Qualifications
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Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative or related technical discipline, or an equivalent combination of education and practical experience.
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5+ years of experience building and operating production software systems.
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Experience developing backend services, APIs, distributed systems, or data-intensive applications.
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Hands-on experience integrating LLMs into production applications beyond simple chat interfaces, including structured outputs, tool calling, retrieval-augmented generation (RAG), agents, or multi-step workflows.
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Experience with at least one major AI platform or model provider such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
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Strong programming skills in Python and/or TypeScript/JavaScript.
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Experience debugging, monitoring, and supporting production applications used by real customers.
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Ability to work independently, navigate ambiguity, and take ownership of projects from concept through deployment.
Preferred Qualifications
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Experience building AI systems where LLMs are part of the critical production workflow.
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Experience designing evaluation frameworks, testing strategies, prompt versioning, tracing, and model performance monitoring.
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Experience with agentic architecture, Model Context Protocol (MCP), tool orchestration frameworks, or autonomous workflows.
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Experience with React, Next.js, modern frontend development, and full-stack application architecture.
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Experience deploying and operating workloads in Kubernetes, Docker, and cloud environments.
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Experience with modern CI/CD practices and infrastructure automation.
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Experience working in regulated industries such as healthcare, financial services, or government.
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Familiarity with privacy, compliance, governance, and data protection requirements.
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Experience using AI-assisted development tools to improve engineering productivity and software quality.
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Strong problem-solving, communication, and collaboration skills.
Success in This Role
Successful candidates are energized by ambiguity, motivated by ownership, and excited to solve difficult problems where correctness matters. You enjoy building systems that are accurate, traceable, and trustworthy, and you view model failures as engineering challenges to be solved rather than limitations to be accepted.
This role is best suited for engineers who want to own meaningful problems end-to-end and see their work directly impact on users and business outcomes.
Technology Stack
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TypeScript
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React / Next.js
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Python
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PostgreSQL
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Gemini on Vertex AI
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OCR and Document AI technologies
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Docker
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Kubernetes
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Modern CI/CD platforms and tooling
Additional Information
This role operates in a highly regulated environment. Responsible handling of sensitive and protected data is a fundamental requirement and an essential part of our engineering culture.
Work Style: This position follows a hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely. Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets.
Office Location Options:
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Louisville, KY
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Boston, MA
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New York, NY
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Dallas, TX
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Tampa, FL
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Washington, DC (Arlington, VA)
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About Us
About Humana: 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. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
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.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.
How this job compares
Set against the 7,372 open AI Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$118–162K/yr
- Florida median$122–246K/yr231 salary ranges
- US median$135–243K/yr6,166 salary ranges
This range's midpoint, $140K, is 23% below the Florida median midpoint ($181K) — in the lowest quarter of AI Engineer salary ranges in Florida.
- Openings
- Olive Jobs lists 265 open AI Engineer jobs in Florida and 7,372 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (6,318 postings).
- Education
- 2,935 of the 7,372 open AI Engineer jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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