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Llm Analyst Jobs (NOW HIRING)

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. * Proven experience in leading and mentoring ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

Senior AI Engineer

Foster City, CA · On-site

$121K - $167K/yr

Evaluate when LLM analysis is the correct tool versus a classifier or rules-based approach, and design the two-stage rule-engine-plus-AI pipeline accordingly. * Build and maintain a unit test suite ...

Technical Product Manager, LLM/ML Domain

Austin, TX · On-site

$165K - $191K/yr

... post-launch analysis • Partner closely with engineering to balance platform scalability ... LLM systems • Drive adoption through documentation, training, and internal evangelism • ...

Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Proven experience in leading and mentoring ...

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

... post-launch analysis • Partner closely with engineering to balance platform scalability ... LLM systems • Drive adoption through documentation, training, and internal evangelism • ...

Technical Product Manager, LLM/ML Domain

Manhattan, NY · On-site

$183K - $212K/yr

... post-launch analysis • Partner closely with engineering to balance platform scalability ... LLM systems • Drive adoption through documentation, training, and internal evangelism • ...

Technical Product Manager, LLM/ML Domain

Seattle, WA · On-site

$190K - $219K/yr

... post-launch analysis • Partner closely with engineering to balance platform scalability ... LLM systems • Drive adoption through documentation, training, and internal evangelism • ...

Technical Product Manager, LLM/ML Domain

San Jose, CA · On-site

$195K - $226K/yr

... post-launch analysis • Partner closely with engineering to balance platform scalability ... LLM systems • Drive adoption through documentation, training, and internal evangelism • ...

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Llm Analyst information

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$31K

$73.3K

$130K

How much do llm analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for llm analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

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

To thrive as an LLM Analyst, you need a solid background in data science, natural language processing (NLP), and machine learning, often supported by a relevant degree in computer science or a related field. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and experience using large language models (LLMs) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with cross-functional teams. These skills are crucial for developing, evaluating, and optimizing LLM applications to deliver accurate and impactful AI solutions.

What is the difference between Llm Analyst vs Data Scientist?

AspectLlm AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of machine learning and NLPBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentTech companies, AI firms, research labs focusing on language modelsVarious industries including tech, finance, healthcare; data-driven roles
Employer & Industry UsagePrimarily in AI and NLP-focused companiesBroadly across industries with data analysis needs

While both roles involve working with data and machine learning, an Llm Analyst specializes in language models and NLP applications, whereas a Data Scientist has a broader focus on data analysis, modeling, and insights across various domains.

What jobs pay $2000 a day?

High-paying roles such as senior AI/ML analysts, data scientists, or specialized consultants can earn around $2,000 per day, especially with extensive experience, advanced skills in machine learning, and certifications. These positions often require working on complex projects, sometimes as contractors or freelancers, and may involve long hours or high-level expertise in AI and data analysis.

What are some common challenges faced by LLM Analysts when working with large language models in a production environment?

LLM Analysts often encounter challenges such as optimizing model performance while balancing computational costs, ensuring data privacy and compliance, and troubleshooting unexpected model outputs. Collaborating closely with data engineers and machine learning researchers is essential to address issues like data pipeline bottlenecks and model drift. Additionally, LLM Analysts must continuously monitor and retrain models to maintain accuracy, which requires strong analytical and problem-solving skills in a fast-paced, collaborative environment.

Which 3 jobs will survive AI?

Llm Analysts, data scientists, and cybersecurity professionals are expected to remain in demand as AI advances, due to their specialized skills in interpreting complex data, developing AI models, and ensuring security. These roles require critical thinking, domain expertise, and often certifications, making them less susceptible to automation. Continuous learning and adapting to new tools are essential for long-term job security in these fields.

What job makes $10,000 a month without a degree?

An Llm Analyst, or similar high-paying tech or data roles, can earn $10,000 or more monthly without a formal degree by leveraging specialized skills in machine learning, data analysis, or AI. These positions often require expertise in programming, statistical tools, and industry-specific knowledge, and may be found in tech companies, startups, or consulting firms that value skills over formal education.

What is an LLM Analyst?

An LLM Analyst is a professional who specializes in working with large language models (LLMs), such as GPT or similar AI systems. Their role typically involves evaluating, fine-tuning, and analyzing the performance of these models for specific business or research applications. LLM Analysts may also handle tasks like prompt engineering, data annotation, and quality assurance to ensure that the language model meets designated objectives and safety standards. This position requires a strong understanding of machine learning concepts, natural language processing (NLP), and data analysis.

What is a LLM analyst in AI?

A LLM analyst in AI specializes in analyzing and interpreting large language models, such as GPT-based systems. They evaluate model performance, identify biases, and optimize algorithms, often using programming skills and AI tools to improve model accuracy and reliability.
More about Llm Analyst jobs
What cities are hiring for Llm Analyst jobs? Cities with the most Llm Analyst job openings:
What states have the most Llm Analyst jobs? States with the most job openings for Llm Analyst jobs include:
Infographic showing various Llm Analyst job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 64% Full Time, 18% Part Time, and 14% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.
Senior LLM/AI Platform Engineer

Senior LLM/AI Platform Engineer

Peraton

Annapolis Junction, MD

$112K - $179K/yr

Full-time

Posted 9 hours ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 204 rated it services


Job description

Responsibilities

Peraton Labs is seeking a senior engineer to serve as the technical lead for the multi-agent generative AI orchestration layer that powers an advanced analytical platform. This role owns the architecture governing how multiple LLM-based worker agents are spawned, routed, coordinated, and managed across diverse analytical tasks. The Senior LLM/AI Platform Engineer ensures that the platform's generative AI backbone is reliable, performant, and extensible as new worker types and capabilities are introduced.

Key Responsibilities

  • Architect and maintain the multi-agent orchestration framework, including worker spawning, conversation history isolation, context management, and inter-worker coordination
  • Design and implement token optimization strategies, including context window management, conversation summarization, and efficient prompt construction
  • Own the model routing layer that directs tasks to appropriate model tiers based on task complexity and user configuration
  • Develop and refine prompt engineering patterns for worker agents to ensure consistent, high-quality analytical outputs
  • Establish evaluation frameworks to measure generative AI output quality, accuracy, and reliability across worker types
  • Lead the design of new worker types to support program management capabilities (cost analysis workers, risk analysis workers, data fusion workers)
  • Collaborate with PM Domain Analysts to translate program management requirements into generative AI agent behaviors
  • Mentor junior LLM/AI Platform Engineers and establish engineering standards for generative AI development

#px2026

Qualifications

Required Qualifications

  • Minimum of 8+ years of experience with a Bachelor's degree, 6+ years with a Master's degree, or 3+ years with a PhD in Computer Science, AI/ML, or related field
  • Deep experience with large language model architectures, fine-tuning, and inference optimization
  • Proficiency in Python; experience with LLM frameworks (LangChain, LlamaIndex, or equivalent)
  • Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures
  • Experience with vector databases and embedding models
  • Demonstrated ability to architect complex, multi-component generative AI systems
  • US Citizenship with the ability to obtain/maintain a Secret clearance

Preferred Qualifications

  • Experience with multi-agent systems or autonomous agent frameworks
  • Familiarity with government/defense program management concepts
  • Experience with model evaluation and red-teaming methodologies
  • Knowledge of FedRAMP or DoD cloud security requirements
  • 7+ years of software engineering experience, with 3+ years focused on LLM/NLP systems
  • Graduate degree in Computer Science, AI/ML, or related field is highly desired
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017