Generative AI Specialist / AI & ML Developer

Peraton

$135K — $216K *
US-AnywhereRemote in United States
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a technical field or equivalent experience (5+ years)
  • 3+ years in software development or data science, 2+ focused on generative AI
  • Hands-on with foundation models like GPT-4 and Claude, including prompt engineering
  • Strong Python skills; familiarity with APIs and libraries like LangChain and Hugging Face
  • Experience in deploying AI/ML models to production in cloud environments (AWS, Azure)
  • Understanding of AI safety protocols, including bias mitigation and validation
  • U.S. citizenship and ability to obtain security clearance and passport for travel

Responsibilities

  • Design generative AI solutions utilizing advanced models and prompt engineering
  • Implement LLM architectures and orchestration methods for effective output handling
  • Maintain libraries and evaluation frameworks for quality assurance in AI content
  • Integrate AI solutions into existing military platforms with a focus on interoperability
  • Research and apply emerging generative AI techniques relevant to information operations
  • Translate military operational needs into actionable AI solutions for practical applications
  • Enforce responsible AI methodologies to enhance safety and reliability in executions

Benefits

  • Remote work flexibility
  • Opportunities for OCONUS travel
  • Engagement in high-impact research initiatives
  • Participation in innovative AI projects within defense operations
  • Structured career growth aligned with technology advancements in AI
Full Job Description
Responsibilities

Peraton is hiring: Generative AI Specialist / AI & ML Developer

Location: Remote

Required:U.S. citizenship and the ability to obtain and maintain a U.S. Government security clearance (Secret 12 TS/SCI) is required.

Additional Requirement: Current, valid U.S. passport (potential OCONUS travel)

About the Role

Peraton is seeking an experienced Generative AI Specialist to support high-impact Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE).
  • This role is central to delivering advanced generative AI capabilities supporting COCOM information operations across CENTCOM, NORTHCOM, INDOPACOM, AFRICOM, and EUCOM.
  • You will drive innovation in LLMs, agentic AI workflows, and generative AI application development-directly influencing Peraton's competitive position in the defense AI landscape.

In this role, you will:
  • Design and optimize generative AI solutions using GPT-4/5, Claude, Gemini, and Azure OpenAI, including prompt engineering, fine-tuning, and retrieval augmented generation (RAG).
  • Implement agentic LLM architectures with structured outputs (JSON/GeoJSON), chain-of-thought/chain-of-debate methods, and multi-agent orchestration.
  • Build and maintain prompt libraries, evaluation frameworks, and QA pipelines for defense-grade AI content.
  • Integrate generative AI into existing platforms via documented APIs, ensuring interoperability with DoD systems (Maven, C2IE, IRIS).
  • Research emerging generative AI techniques (multimodal models, synthetic data generation, AI-assisted analysis for information operations).
  • Translate COCOM operational requirements into deployable AI solutions; support TTX events and platform demonstrations.
  • Implement Responsible AI practices including bias detection, validation, hallucination mitigation, and HITL workflows.
  • Support MVP-aligned milestone delivery, contributing to TRL progression and ROI measurement.
  • Document novel prompting techniques, model configurations, and workflows that may constitute IP or trade secrets.


Qualifications

Minimum Qualifications
  • Bachelor's degree in a related technical field + 5 years relevant experience
    - (An additional 4 years of experience may substitute for the degree)
    022 3+ years in software development or data science, including 2+ years focused on generative AI, LLMs, or NLP
    022 Hands-on experience with foundation models (GPT-4, Claude, Gemini, Llama, Mistral) including prompt engineering, few-shot learning, fine-tuning, and API integration
    022 Strong Python skills; experience with LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs
    022 Experience building RAG systems using vector databases (Pinecone, Weaviate, ChromaDB, pgvector)
    022 Cloud experience (AWS, Azure) and deploying AI/ML models in production
    022 Understanding of AI safety, hallucination mitigation, bias reduction, and prompt-injection protection
    022 Experience with Git, CI/CD, and DevSecOps practices
    022 U.S. citizenship required
    022 Ability to obtain Secret and final TS/SCI clearances
    022 Current, valid U.S. passport for potential OCONUS travel

Preferred Qualifications
  • Master's degree
    022 Experience with agentic AI architectures, multi-agent workflows, and LLM tool-use
    022 Hands-on experience with fine-tuning, RLHF, DPO, LoRA/QLoRA
    022 Familiarity with multimodal models and defense/intelligence applications
    022 Experience with IRIS, OMEGA, or similar operational platforms
    022 Background supporting IO, PSYOP, influence analysis, or COCOM operations
    022 Knowledge of MLOps, A/B testing, and LLM evaluation frameworks (RAGAS, DeepEval)
    022 Experience with synthetic data generation, simulation, or Monte Carlo methods
    022 Understanding of geospatial data formats (GeoJSON, KML) and visualization tools (Plotly, D3.js)
    022 Strong communication skills for technical-to-nontechnical translation and customer demos
    022 Relevant cloud/AI certifications (AWS, Azure, Google, DeepLearning.AI)

Key Technologies & Platforms

GPT-5, Claude, Gemini, Azure OpenAI Service, LangChain, LlamaIndex, Hugging Face Transformers, Python, Pinecone, ChromaDB, Weaviate, pgvector, AWS, Azure, Docker, Kubernetes, REST APIs, JSON/GeoJSON, Plotly, D3.js, IRIS, Maven, C2IE, OMEGA, FedRAMP IL2-4.

Target Salary Range

$135,000 - $216,000. 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.

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