Remote opportunity at
PeratonLarge Language Model Specialist
Peraton seeks a Large Language Model Specialist to spearhead the creation and execution of advanced generative artificial intelligence capabilities within a cloud analytics environment. This remote,…
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About This Role
Peraton seeks a Large Language Model Specialist to spearhead the creation and execution of advanced generative artificial intelligence capabilities within a cloud analytics environment. This remote, full-time position suits technical professionals with deep expertise in transformer models and natural language processing who want to shape artificial intelligence strategy for national security missions. As the mission capability integrator, Peraton operates at the intersection of traditional and non-traditional threats across land, sea,…
Job Description
Peraton seeks a Large Language Model Specialist to spearhead the creation and execution of advanced generative artificial intelligence capabilities within a cloud analytics environment. This remote, full-time position suits technical professionals with deep expertise in transformer models and natural language processing who want to shape artificial intelligence strategy for national security missions.
As the mission capability integrator, Peraton operates at the intersection of traditional and non-traditional threats across land, sea, air, space, and cyberspace, providing specialized technologies and enterprise information technology solutions to government agencies and all branches of the United States armed forces.
The selected specialist will direct innovation efforts by owning the architecture for model adaptation, retrieval-augmented generation frameworks, agentic workflows, and fine-tuning procedures. Responsibilities include building prototypes, developing scalable pipelines, and maintaining system security and governance. The role requires collaboration with engineering, product, and data departments to evaluate emerging technologies and establish best practices for deployment.
Responsibilities
- Direct the design, creation, and operationalization of advanced language model features inside a cloud analytics platform
- Own the overarching strategy and architecture for model fine-tuning, retrieval-augmented generation, agentic frameworks, and domain adaptation
- Oversee the creation of prototypes and manage the scalability of language model pipelines
- Guarantee robust security, performance, and governance across all model deployments
- Collaborate alongside engineering, product, and data divisions to deliver technical leadership and define best practices
- Assess emerging generative artificial intelligence technologies to advance safe and practical deployment
Requirements
- Minimum of 8 years of experience with a bachelor of science or bachelor of arts degree, or minimum of 6 years of experience with a master of science or master of arts degree, or minimum of 3 years of experience with a doctoral degree
- Extensive expertise in transformer architectures, language model frameworks, and generative artificial intelligence techniques
- Demonstrated background leading parameter-efficient training, prompt engineering, and model fine-tuning
- Proven capability to build and launch end-to-end retrieval-augmented generation pipelines including vector database integrations and embedding workflows
- Practical familiarity with orchestration toolchains or language model frameworks such as LangChain and LlamaIndex
- Advanced Python coding proficiency alongside background in distributed computing or graphics processing unit-accelerated training setups
- Experience building and releasing artificial intelligence, machine learning, or language model workflows on cloud ecosystems like Amazon Web Services, Google Cloud Platform, or Azure
- Solid knowledge of machine learning operations and language model operations methodologies including automated testing, versioning, monitoring, continuous integration and deployment, and governance
- United States citizenship with the ability to secure and hold a Public Trust clearance
Qualifications
- Experience deploying agentic or multi-agent systems for reasoning and task automation
- Familiarity with structured benchmarking, evaluation frameworks, or human-in-the-loop refinement techniques including reinforcement learning from human feedback workflows
- Expertise in advanced retrieval mechanisms such as graph retrieval, hybrid search, and long-context optimization
- Background in optimizing inference through model distillation, compression, or quantization
- Familiarity integrating language model services with large-scale analytics platforms like Spark, Databricks, and Snowflake
- Proficiency in exploratory data analysis, data modeling, and feature engineering for domain-specific customization
- History of building prototypes or proofs of concept utilizing state-of-the-art generative artificial intelligence
- Exposure to mixture-of-experts models, experimental generative systems, or long-context transformers
Core Skills
Benefits
- Potential eligibility for a discretionary bonus, shift differential, and overtime depending on the specific position
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Large Language Model Specialist role?
The target base salary range is $104,000 to $166,000 per year, determined by factors such as experience, education, geographic location, and business considerations.
Is this position remote?
Yes, the posting specifies that this is a remote role.
What security clearance is required?
Candidates must be United States citizens with the ability to obtain and maintain a Public Trust clearance.
What educational and experience requirements apply?
Candidates must have either a bachelor's degree with at least 8 years of experience, a master's degree with at least 6 years of experience, or a doctoral degree with at least 3 years of experience.
Sample Interview Questions
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