Large Language Model Specialist
责任 LLM 专家将在云计算分析生态系统中推动先进的大语言模型能力的设计，开发和运营。该角色领导了围绕尖端 AI 的创新努力，拥有细调，检索增强生成 (RAG) 的架构和战略，代理框架以及特定领域的模式适应。专家将指导高影响原型号的发展，监督可扩展的 LLM 管道的演变，并确保所有模型实现中的稳健治理，安全性和性能。通过与工程，产品和数据团队合作，该职位提供技术领导力，评估新兴的 LLM 技术，制定最佳实践，并帮助推动转型，通过实际，安全和有效地部署生成 AI.资格要求技能：· BS/BA 至少8年；MS/MA 最低6年；博士学位最少3年 · 在 LLM 架构，变压器模型和现代生成 AI 技术方面的深入专业知识。·经验证明引领精细调工作，参数效率培训以及先进快速工程。· 经验证明设计和实施端到端的 RAG 管道，包括嵌入工作流程，检索优化和向量数据库集成。· 有实践经验与一个或多个 LLM 框架或配套工具链 （如 LangChain,LlamaIndex）. ·强大的 Python 开发技能和经验分布式计算或 GPU 加速培训环境。· 在云平台中构建和部署 AI/ML 或 LLM 工作流程的经验，例如 Azure,AWS 或 GLO. ·对 Mps/LLMOps 实践的坚实的理解，包括版本编制，CI/CD,自动测试，监控和模型治理。· 能够领导技术讨论，指导团队成员并向多个受众传达复杂的 AI 概念。· 具有获得/维持公信证的美国公民优先技能：· 对任务自动化和推理使用多代理或代理人工智能系统的经验。·熟悉 LLM 评估框架，结构性基准分析或循环精炼方法 （例如 RLHF 类型的工作流程）. · 专业知识与混合搜索，图形检索或长文本优化的先进检索技术。· 通过量化，模型压缩或模型优化来优化模型推断。
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Responsibilities
The LLM Specialist will drive the design, development, and operationalization of advanced large‑language‑model capabilities across a cloud‑based analytics ecosystem. This role leads innovation efforts around cutting‑edge AI, owning the architecture and strategy for fine‑tuning, retrieval‑augmented generation (RAG), agentic frameworks, and domain‑specific model adaptation. The specialist will guide the development of high‑impact prototypes, oversee the evolution of scalable LLM pipelines, and ensure robust governance, security, and performance across all model implementations. Partnering with engineering, product, and data teams, this position provides technical leadership, evaluates emerging LLM technologies, sets best practices, and helps drive transformation through the practical, safe, and effective deployment of generative AI.
Qualifications
Required Skills:
- Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
- Deep expertise in LLM architectures, transformer models, and modern generative AI techniques.
- Demonstrated experience leading fine‑tuning efforts, parameter‑efficient training, and advanced prompt engineering.
- Proven ability to design and implement end‑to‑end RAG pipelines, including embedding workflows, retrieval optimization, and vector database integrations.
- Hands‑on experience with one or more LLM frameworks or orchestration toolchains (such as LangChain, LlamaIndex).
- Strong Python development skills and experience with distributed compute or GPU‑accelerated training environments.
- Experience architecting and deploying AI/ML or LLM workflows within cloud platforms such as Azure, AWS, or GCP.
- Solid understanding of MLOps/LLMOps practices, including versioning, CI/CD, automated testing, monitoring, and model governance.
- Ability to lead technical discussions, mentor team members, and communicate complex AI concepts to diverse audiences.
- US Citizen with the ability to obtain/maintain a Public Trust clearance
Preferred Skills:
- Experience implementing multi‑agent or agentic AI systems for task automation and reasoning.
- Familiarity with LLM evaluation frameworks, structured benchmarking, or human‑in‑the‑loop refinement methods (e.g., RLHF‑style workflows).
- Expertise with advanced retrieval techniques such as hybrid search, graph retrieval, or long‑context optimization.
- Experience optimizing model inference through quantization, model compression, or model distillation.
- Background integrating LLM services with large‑scale analytics environments (e.g., Databricks, Snowflake, Spark).
- Strong skills in exploratory data analysis, feature engineering, and data modeling to support domain‑specific LLM customization.
- Experience developing innovative prototypes or POCs that leverage state‑of‑the‑art generative AI approaches.
- Exposure to emerging architectures such as mixture‑of‑experts models, long‑context transformers, or experimental generative frameworks.
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
$104,000 - $166,000. 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.EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Originally posted on Himalayas