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Ai Rag Jobs in Kentucky (NOW HIRING)

Humana, Inc.

AI Fellow

Louisville, KY · On-site

Advise on LLM strategy , including model selection, orchestration approaches, RAG architectures ... Leverage hands-on fluency with modern AI tooling (LLM APIs, orchestration frameworks, low-code/no ...

Humana

AI Fellow

Louisville, KY

Advise on LLM strategy , including model selection, orchestration approaches, RAG architectures ... Leverage hands-on fluency with modern AI tooling (LLM APIs, orchestration frameworks, low-code/no ...

Prolim Global

AI Enablement Trainer

Georgetown, KY · On-site

... with RAG, agents, LLM evaluation, orchestration patterns, APIs, cloud platforms, or enterprise AI architectures. · Experience creating technical labs, sample repositories, code walkthroughs ...

Humana

AI Technical Product Manager

Louisville, KY

$160K - $185K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

eTeam

Lead AI Product Owner

Louisville, KY · On-site

... g., RAG, conversational AI) sufficient to evaluate feasibility and guide implementation • Ability to contribute to evaluation frameworks for assessing AI model and platform performance • ...

Humana

AI Technical Product Manager

Louisville, KY

$160K - $185K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

Humana

AI Technical Product Manager

Louisville, KY

$160K - $185K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

Humana, Inc.

AI Technical Product Manager

Louisville, KY · On-site

$160K - $185K/yr

Hands-on expertise with AI/ML tools, frameworks, and cloud platforms (Python, PyTorch/TensorFlow, LangChain, vector databases, RAG architectures, prompt engineering, Azure/OpenAI, etc.). * Experience ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Kentucky? For Ai Rag jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Kentucky look for? The top searched job categories for Ai Rag jobs in Kentucky are:
What cities in Kentucky are hiring for Ai Rag jobs? Cities in Kentucky with the most Ai Rag job openings:
Ai Rag jobs near you
AI Fellow

AI Fellow

Humana, Inc.

Louisville, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Humana rating

7.9

Company rating: 7.9 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

158th of 281 rated insurance

Job description

Become a part of our caring community
The AI Strategy Fellow is a senior, individual contributor responsible for shaping and advancing the enterprise AI strategy for a Fortune 40 healthcare organization. This role uniquely blends strategic vision, business-outcome orientation, hands-on technical prototyping, compelling executive storytelling, and deep industry awareness - operating at the intersection of enterprise technology strategy, applied AI, and business transformation.
The Fellow partners directly with Enterprise AI leadership, architecture teams, and senior business executives to drive a multi-year AI roadmap, translate that roadmap into tangible business value, and champion a culture of prototype-driven innovation. Unlike traditional leadership roles, the Fellow influences direction through expertise, credibility, and demonstration rather than direct team or product ownership. This role is primarily an Individual Contributor and reports to the VP, Enterprise AI Strategy & Governance.
1. Enterprise AI Strategy & Technical Direction
  • Lead the development and evolution of the multi-year enterprise AI strategy, including GenAI, machine learning, and emerging AI paradigms.
  • Own the articulation and maintenance of the multi-year enterprise AI roadmap, ensuring it evolves with business priorities, technology maturity, and competitive landscape shifts.
  • Primary architect of Humana's AI strategy, defining necessary technology investments, and driving transparency in prioritization and planning.
  • Develop and maintain a capability-to-outcome mapping framework that explicitly interlocks foundational AI platform capabilities (e.g., model orchestration, data pipelines, MLOps) to prioritized business use cases and measurable outcomes.
  • Provide domain expertise on ecosystem design, integration patterns across enterprise systems, and partner with AI platform engineering on scaled capabilities.
  • Shape reference architectures and scalable platform models that enable reuse, interoperability, and rapid experimentation.
  • Advise on LLM strategy, including model selection, orchestration approaches, RAG architectures, and optimization techniques.
2. Prototype-Driven Innovation & Hands-On Experimentation
  • Personally build and lead rapid prototypes and proof-of-concepts that demonstrate the feasibility and business value of emerging AI capabilities - serving as a catalyst for organizational buy-in and faster decision-making.
  • Champion a prototype-driven thinking culture across the AI organization, establishing lightweight frameworks for fast experimentation, learning, and iteration.
  • Translate abstract strategic concepts into tangible, working demonstrations that accelerate stakeholder alignment and de-risk enterprise-scale investments.
  • Leverage hands-on fluency with modern AI tooling (LLM APIs, orchestration frameworks, low-code/no-code platforms) to stay grounded in technical reality and credibly advise on implementation feasibility.
3. AI Adoption & Value Realization
  • Design and drive frameworks for scaling AI adoption across business units, ensuring alignment to measurable business outcomes.
  • Identify and prioritize high-value AI use cases across the enterprise, balancing feasibility, risk, and impact.
  • Design and own frameworks for value tracking, including cost reduction, productivity gains, and revenue enablement tied to AI initiatives.
  • Partner with business and technical leaders to accelerate transition from pilots to enterprise-scale deployment.
4. Storytelling & Executive Communication
  • Craft compelling, board-ready narratives that translate complex AI strategies, technical architectures, and innovation pipelines into clear, outcome-oriented stories for C-suite and board audiences.
  • Develop and maintain a suite of executive communication assets - strategy briefs, roadmap visualizations, value-realization dashboards, and investment narratives - that keep leadership aligned and informed.
  • Serve as a storytelling partner to Enterprise AI leadership, helping frame AI initiatives in the language of business transformation, member outcomes, and competitive differentiation.
  • Distill technical complexity into simple, memorable frameworks that enable non-technical executives to make informed decisions on AI investments and priorities.
5. Technical Advisory & Decision Support
  • Serve as a senior advisor on critical AI-related decisions, including: buy vs. build vs. partner strategies; model architecture and tooling choices; platform investments and vendor selection.
  • Provide objective, data-driven recommendations grounded in industry best practices and emerging trends.
  • Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective.
6. Responsible AI & Risk Alignment
  • Partner with governance and risk functions to advance responsible AI practices, including fairness, explainability, and compliance.
  • Provide technical input into model risk management frameworks, evaluation standards, and monitoring approaches.
  • Define and champion guardrails for safe and ethical scaling of generative AI capabilities.
7. Cross-Functional Influence & Thought Leadership
  • Act as a trusted advisor to senior executives, translating highly technical AI concepts into clear business implications.
  • Influence roadmaps across Enterprise AI, Cloud, Data, and Security teams without direct ownership.
  • Continuously scan and synthesize the external AI landscape - including emerging models, tooling, competitive moves, regulatory developments, and academic research - and translate insights into actionable recommendations that shape internal roadmaps and investment priorities.
  • Establish and maintain a structured mechanism (e.g., quarterly trend briefings, competitive intelligence digests) for bringing outside-in perspectives to Enterprise AI leadership and key stakeholders.
  • Build and leverage an external network of AI practitioners, researchers, and industry analysts to ensure the organization remains at the forefront of applied AI innovation.
  • Represent the organization in selective external forums as a thought leader in enterprise AI strategy and adoption.

Use your skills to make an impact
Experience
  • 10+ years of experience in AI/ML, advanced analytics, or enterprise technology strategy, with increasing technical depth.
  • Proven experience shaping or advising on enterprise-scale AI platforms, architectures, or transformations.
  • Demonstrated ability to influence C-level and senior executives on complex technical and strategic topics.
  • Experience working in highly matrixed Fortune 100 environments or equivalent scale.
  • Track record of personally building prototypes or proof-of-concepts that influenced strategic or investment decisions at the enterprise level.
  • Demonstrated excellence in executive storytelling and strategic communication, including experience presenting to C-suite, board, or equivalent audiences.
  • History of translating external industry trends into internal strategy adjustments or new capability investments.
Technical Expertise
Deep understanding of:
  • Machine learning lifecycle and MLOps
  • Generative AI and LLM ecosystems
  • Data architectures and cloud platforms (e.g., Azure, AWS, GCP)

Hands-on familiarity with:
  • Model development frameworks (e.g., PyTorch, TensorFlow)
  • LLM orchestration frameworks and tooling
  • Vector databases, embeddings, and retrieval architectures
  • Rapid prototyping tools and environments (e.g., Jupyter notebooks, Streamlit, Gradio, or equivalent)
  • API-first experimentation with LLM providers (OpenAI, Anthropic, open-source models)
  • Low-code/no-code AI platforms for fast demonstration builds

Strong grasp of system design, scalability, and distributed architectures.
Communication & Influence Skills
  • Exceptional written and verbal communication skills, with the ability to craft narratives that resonate across technical and non-technical audiences.
  • Strong visual communication and data storytelling capabilities.
  • Ability to operate with influence and credibility in highly matrixed environments without positional authority.

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.
$208,500 - $286,700 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.

What Humana employees say

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About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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