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Vice President Large Language Model Llm Jobs (NOW HIRING)

S-Docs Inc

Vice President, Engineering

Ann Arbor, MI · On-site

$176K - $227K/yr

As the VP of Engineering at S-Docs, you will be responsible for leading the execution, delivery ... Strong knowledge of Large Language Models (LLM) and AI based technologies using frontier LLM models.

S-Docs Inc

Vice President, Engineering

Ann Arbor, MI · On-site

$176K - $227K/yr

As the VP of Engineering at S-Docs, you will be responsible for leading the execution, delivery ... Strong knowledge of Large Language Models (LLM) and AI based technologies using frontier LLM models.

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

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How much do vice president large language model llm jobs pay per year?

As of Jun 28, 2026, the average yearly pay for vice president large language model llm in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the salary of VP of AI?

The Vice President of Large Language Models (LLMs) typically earns a salary ranging from $150,000 to $250,000 annually, with total compensation often including bonuses, stock options, and other benefits. Salaries vary based on company size, location, experience, and industry sector, with senior AI leadership roles demanding higher compensation packages.

What are the key skills and qualifications needed to thrive as a Vice President, Large Language Model (LLM), and why are they important?

To thrive as a Vice President of Large Language Model (LLM), you need advanced expertise in machine learning, natural language processing, and a record of leadership in AI research or product development, often supported by a PhD or equivalent industry experience. Familiarity with deep learning frameworks (such as TensorFlow and PyTorch), cloud computing platforms, and experience managing large-scale model deployment are typically required. Strategic vision, strong communication, and the ability to inspire and lead multidisciplinary teams are crucial soft skills in this executive role. These competencies drive innovation, ensure alignment with organizational goals, and support the successful translation of cutting-edge LLM technology into impactful business solutions.

What are some common challenges faced by a Vice President of Large Language Model (LLM) initiatives, and how can they be addressed?

A Vice President overseeing Large Language Model projects often encounters challenges such as balancing rapid innovation with ethical considerations, ensuring data privacy, and scaling infrastructure to meet computational demands. Effective communication with both technical teams and executive stakeholders is crucial for aligning business objectives with AI development. Addressing these challenges typically involves fostering a culture of responsible AI, investing in robust cloud or on-premise resources, and staying updated with evolving industry standards and regulations.

What is the difference between Vice President Large Language Model Llm vs Data Scientist?

AspectVice President Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, ML, or related fields; extensive experience in NLP and LLMsDegree in Data Science, Statistics, or Computer Science; strong analytical skills
Work EnvironmentLeadership roles in R&D teams, strategic planning, cross-department collaborationData analysis, model development, data visualization in tech or research settings
Employer & Industry UsageTech companies, AI startups, research institutions focusing on NLP and AI productsTech firms, finance, healthcare, and other sectors utilizing data analytics and modeling

The Vice President Large Language Model Llm typically holds a leadership position overseeing AI projects and strategy, requiring advanced credentials and experience in NLP. In contrast, Data Scientists focus on analyzing data, building models, and deriving insights, often with less emphasis on leadership. Both roles are vital in AI-driven industries but differ in scope, responsibilities, and seniority.

What is the highest paying job in AI?

In AI, roles such as AI research directors, chief AI officers, and senior machine learning executives tend to have the highest salaries, often exceeding several hundred thousand dollars annually. These positions typically require advanced degrees, extensive experience, and expertise in areas like large language models, deep learning, and AI strategy.

What does a Vice President of Large Language Model (LLM) do?

A Vice President of Large Language Model (LLM) oversees the strategic direction, development, and deployment of large language model technologies within an organization. This executive leads teams of researchers and engineers, manages partnerships, and ensures LLM products align with business goals. Responsibilities also include staying up-to-date with advancements in AI, ensuring ethical use of LLMs, and representing the company in industry forums. The role requires a blend of technical expertise, leadership, and business acumen to drive innovation and maintain a competitive edge in AI.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as Vice President of Large Language Models or senior AI executives, which offer compensation packages including salary, bonuses, and stock options. These positions require extensive expertise in AI, machine learning, and leadership, often involving strategic oversight of AI development and deployment in large organizations.

Is LLM a good career?

A career as a Vice President in Large Language Models (LLMs) involves leading development and deployment of advanced AI systems, requiring expertise in machine learning, natural language processing, and leadership skills. It is a growing field with high demand for technical knowledge, strategic planning, and experience with AI tools and frameworks. This role offers opportunities for innovation, high compensation, and influence in AI advancements, making it a promising career path for those with relevant skills and experience.
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Vice President Large Language Model Llm jobs near you
Infographic showing various Vice President Large Language Model Llm job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
Large Language Model (LLM) AI Engineer

Large Language Model (LLM) AI Engineer

Oran, Inc.

Herndon, VA • On-site

Full-time

Posted 8 days ago

Job description

Experience Required
7+ Years Overall | 3+ Years in Generative AI / LLMs
Position Overview
We are seeking a Large Language Model (LLM) AI Engineer to design, fine-tune, evaluate, and integrate generative AI and LLM-based solutions in healthcare, scientific, and regulated environments. The ideal candidate will possess expertise in modern AI architectures, vector databases, prompt engineering, and AI governance.
Key Responsibilities
  • Design and implement generative AI and LLM solutions.
  • Fine-tune and evaluate foundation models.
  • Develop AI workflows using agentic AI frameworks.
  • Build RAG architectures and vector database integrations.
  • Develop APIs and cloud-native AI solutions.
  • Implement hallucination mitigation and AI governance controls.

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