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Llm Delivery Jobs (NOW HIRING)

Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and ... Essential Functions Attacking AI/LLM Systems * Break AI and agentic systems and translate that ...

As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge ... As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ...

Deliver comprehensive task packages, including transcripts, target behaviors, binary rubrics, and supporting rationale or evidence. Validate LLM outputs, documenting model strengths and failure modes ...

Delivery of high-performing, answer-first content formats optimized for AI discoverability. Key ... LLM tools, prompt testing, or AI-driven search platforms (e.g., ChatGPT, Gemini, Copilot ...

As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge ... As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ...

As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge ... As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ...

... deliver impact. What you'll do * Own and optimize pipelines that combine classical ML and LLM-based ... systems (RAG, scoring, summarization, etc.) * Fine-tune and evaluate LLMs using both open-source ...

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Llm Delivery information

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$13

$46

$91

How much do llm delivery jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for llm delivery in the United States is $46.36, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $60.58 per hour, depending on experience, location, and employer.

What is an LLM Delivery specialist?

An LLM Delivery specialist is a professional responsible for deploying, integrating, and maintaining large language models (LLMs) within an organization or for clients. Their work involves overseeing the effective implementation of LLM solutions, ensuring they meet business requirements, and handling issues like scalability, data privacy, and performance optimization. They often collaborate with data scientists, engineers, and stakeholders to deliver AI-driven applications and services powered by LLMs.

What are the key skills and qualifications needed to thrive as an LLM Delivery specialist?

To thrive as an LLM Delivery specialist, you need a strong background in machine learning, natural language processing, and software engineering, often supported by a degree in computer science or a related field. Familiarity with large language model frameworks (such as OpenAI, Hugging Face), cloud platforms, and MLOps tools is typically required, along with experience in model deployment and monitoring. Excellent problem-solving skills, effective communication, and adaptability are vital soft skills for collaborating with cross-functional teams and addressing client needs. These competencies ensure successful implementation, scalability, and optimization of language model solutions in dynamic production environments.

What are some common challenges faced by professionals in LLM Delivery roles, and how can they be addressed?

Professionals in LLM Delivery often encounter challenges such as aligning large language model solutions with client requirements, managing cross-functional teams, and ensuring robust model deployment and monitoring. Successfully navigating these challenges typically involves clear communication with stakeholders, staying updated on best practices in AI model deployment, and collaborating closely with data scientists, engineers, and product managers. Building strong project management skills and fostering a culture of continuous feedback can also help in delivering high-quality, scalable LLM solutions.

What is the difference between Llm Delivery vs Data Scientist?

AspectLlm DeliveryData Scientist
Required CredentialsTypically requires knowledge of AI/ML deployment, cloud platforms, and programming skillsRequires degrees in data science, statistics, or related fields, with skills in programming and analytics
Work EnvironmentOften involves collaboration with AI teams, cloud infrastructure, and client-facing projectsWorks with data analysis, modeling, and visualization within teams or independently
Employer & Industry UsageUsed in tech companies, AI service providers, and consulting firmsCommon in tech, finance, healthcare, and research organizations
Search & Comparison IntentPeople compare roles related to AI deployment and implementationPeople compare roles focused on data analysis and modeling

While both roles involve technical skills, Llm Delivery focuses on deploying large language models and AI solutions, whereas Data Scientists primarily analyze data and build predictive models. Understanding these differences helps candidates choose the right career path or job opportunity.

More about Llm Delivery jobs

What cities are hiring for Llm Delivery jobs?

Cities with the most Llm Delivery job openings:

What states have the most Llm Delivery jobs?

States with the most job openings for Llm Delivery jobs include:

Infographic showing various Llm Delivery job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 32% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $96,421 per year, or $46.4 per hour.

AI/LLM Product Director - Executive Director

JPMorgan Chase & Co.

Palo Alto, CA • On-site

$180K - $285K/yr

Full-time

Medical, Retirement

Re-posted 17 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


You enjoy contributing to the future of product innovation, supporting value creation for customers, assisting in successful launches, and meeting expectations. Join our dynamic team and make a meaningful impact by supporting the delivery of high-quality products that resonate with clients.
As a Product Director leading AI / LLM initiatives, you will assist in delivering a business-friendly, best-in-class enterprise Search capability incorporating the latest technologies (including AI/LLM) and applying best practices. You are expected to support the design and architecture of the solutions while focusing on various stages of the Software Development Lifecycle (SDLC). As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs.
Job Responsibilities
  • Oversees the product roadmap, vision, development, execution, risk management, and business growth targets for both conventional and LLM-based generative search.
  • Leverage a wide range of cutting-edge technologies such as Semantic Search, Personalized Search, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), and Agents to enhance user experiences.
  • Incorporate established search methodologies and technologies, including Boolean Search, Keyword Search, Faceted Search, and Full-Text Search, to improve overall search capabilities and user experience.
  • Partner with internal stakeholders, including business leaders, data scientists, engineers, and designers, to align requirements, define product features, and ensure successful product delivery.
  • Oversee the integration and release of Search and LLM technologies into GB products and services. Ensure that solutions are scalable, secure, and compliant with regulatory requirements.
  • Help define and track key performance indicators (KPIs) to measure the success of Search and LLM products. Use data-driven insights to support informed decisions and drive continuous improvement.
  • Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives

Required Qualifications, Capabilities, and Skills
  • 8+ years of building and launching AI / LLM products.
  • Strong collaboration skills, with the ability to positively influence technology teams and stakeholders.
  • Knowledge of AI/LLM and data product lifecycle, including discovery, data processing, model development, model deployment, and model monitoring.
  • Familiarity with ElasticSearch, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), RAG, and Agents.
  • Knowledge of LLM frameworks such as LangChain, LangGraph, and OpenLLM.
  • Understanding of operationalizing AI products responsibly through MLOps pipeline.
  • Basic expertise in Cloud computing and architecture (e.g., AWS).

Preferred Qualifications, Capabilities, and Skills
  • Search Product experience preferred, but not required. Recognized thought leader in this space.
  • Experience in Financial Services or other highly regulated industries.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors.
Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.

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