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Llm Delivery Jobs (NOW HIRING)

WinsAbove

NY · On-site

$167 - $244/hr

Datadog's LLM Observability product enables organizations to monitor, troubleshoot, and optimize ... Act as a trusted advisor to Product Management by delivering actionable feedback informed by ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...

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Llm Delivery information

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$13

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How much do llm delivery jobs pay per hour?

As of Aug 23, 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.

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What cities are hiring for Llm Delivery jobs?

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What states have the most Llm Delivery jobs?

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Llm Delivery jobs near you
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.

Senior Product Solutions Architect - LLM Observability

Datadog

Boston, MA • On-site

$185K - $246K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 2 days ago

Datadog rating

9.6

Company rating: 9.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 495 rated business services

Job description

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.
Datadog's LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.
At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
  • Serve as the in-house subject matter expert for Datadog's LLM Observability product
  • Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
  • Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
  • Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
  • Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are:
  • You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments at a large scale, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
  • You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
  • Experience with languages such as Python and/or JavaScript/TypeScript
  • Comfortable operating in rapidly evolving, ambiguous technical domains
  • You build deep context across teams and translate it into reusable, scalable solutions
  • You take ownership from problem definition through implementation and measurable outcomes
  • Highly detail-oriented, particularly when working on architectures and customer-facing technical assets
  • You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
  • Able to sit up to 4 hours, traveling to and from client sites
  • Able to travel via auto, train, or air up to 40% of the time

Bonus Points:
  • Successful track record with 5+ years experience working as a Solutions Architect or Sales Engineer supporting the AI space
  • Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
  • Experience with LLM application evaluation and testing frameworks

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
  • Best-in-breed onboarding
  • Generous global benefits
  • Intra-departmental mentor and buddy program for in-house networking
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$185,000-$246,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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