LLM Architect & AI Systems Lead - AWS Cloud

Peraton; Herndon (VA); On-site; USD 86,000 - 138,000; Full time

Job summary

Peraton is seeking an LLM Specialist to design, develop, and operationalize advanced large-language-model capabilities across a cloud-based analytics ecosystem. You will lead architecture, finetuning, RAG workflows, and domain-specific model adaptation.

You will collaborate with engineering, product, and data teams to build scalable prototypes, establish best practices, and ensure robust governance, security, and performance across all deployments of generative AI.

Qualifications

• Deep expertise in LLM architectures and modern generative AI techniques.
• Experience leading finetuning, LoRA/PEFT, and prompt engineering.
• Design and implement end-to-end RAG pipelines with embedding workflows and vector databases.
• Hands-on with LangChain or LlamaIndex.
• Strong Python development and GPU-accelerated training experience.
• Experience deploying AI/ML workflows on Azure, AWS, or GCP.
• Solid MLOps/LLMOps practices including CI/CD, monitoring, and governance.
• Ability to lead discussions and mentor teammates.
• US citizenship with ability to obtain Public Trust clearance.

Responsibilities

• Drive design, development, and deployment of LLM capabilities across a cloud analytics ecosystem.
• Lead innovation around AI architectures, finetuning, RAG, and domain-specific model adaptation.
• Develop high-impact prototypes and scalable LLM pipelines with governance, security and performance.
• Collaborate with engineering, product, and data teams to establish best practices.
• Evaluate emerging LLM technologies and guide practical, safe deployment of generative AI.

Skills

LLM architectures

Finetuning & LoRA/PEFT

RAG pipelines

LangChain/LlamaIndex

Python development

Cloud platforms (Azure/AWS/GCP)

MLOps/LLMOps

Technical leadership

Education

BS/BA

MS/MA

PhD

Tools

LangChain

LlamaIndex

Databricks

Snowflake

Spark

GPU-accelerated training

Job description

Peraton is seeking an LLM Specialist to design, develop, and operationalize advanced large-language-model capabilities across a cloud-based analytics ecosystem. You will lead architecture, finetuning, RAG workflows, and domain-specific model adaptation.

You will collaborate with engineering, product, and data teams to build scalable prototypes, establish best practices, and ensure robust governance, security, and performance across all deployments of generative AI.