Generative AI Specialist / AI & ML Developer

About Peraton 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 solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. Program Overview Leading provider of Information Operations (IO) and Irregular Warfare (IW) capabilities to the U.S. government. Integrates Information Related Capabilities (IRC) across multiple domains, environments, and geographic boundaries, supporting both domestic and overseas operation via Information Operations planners, intelligence analysts, cultural advisors, and linguists About The Role Peraton is currently seeking to hire an experienced Generative AI Specialist. Location: Remote Clearance Required: Active Secret Clearance with TS/SCI Eligibility Role: • The Generative AI Specialist will serve as a key technical contributor on Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE). • This role requires deep expertise in large language models (LLMs), prompt engineering, agentic AI workflows, and generative AI application development to deliver innovative solutions supporting Combatant Command (COCOM) information operations across CENTCOM, NORTHCOM, INDOPACOM, AFRICOM, and EUCOM. • This is a high-visibility role with direct impact on Peraton's competitive positioning in the defense AI market. Responsibilities - you will: • Design, develop, and optimize generative AI solutions leveraging GPT-4, Claude, Gemini, and Azure OpenAI Service, including advanced prompt engineering, fine-tuning strategies, and retrieval-augmented generation (RAG) implementations. • Implement agentic LLM architectures with structured output schemas (JSON/GeoJSON), chain-of-thought/chain-of-debate methodologies, and multi-agent orchestration to generate reliable, mission-relevant outputs. • Develop and maintain prompt libraries, evaluation frameworks, and quality assurance pipelines to ensure consistent, accurate, and secure AI-generated content for defense applications. • Build and integrate generative AI capabilities into existing platforms, ensuring seamless interoperability with DoW systems including Maven, C2IE, and IRIS through well-documented APIs. • Conduct research and experimentation on emerging generative AI techniques including multimodal models, synthetic data generation, and AI-assisted analysis for information operations. • Collaborate with cross-functional teams to translate COCOM operational requirements into generative AI solutions, supporting tabletop exercises (TTX) and platform demonstrations. • Implement responsible AI practices including bias detection, output validation, hallucination mitigation, and human-in-the-loop (HITL) review workflows for mission-critical applications. • Support quarterly milestone delivery aligned with MVP development approach, contributing to TRL progression and measurable ROI metrics. • Document novel prompting techniques, model configurations, and AI workflows that may constitute intellectual property (IP) or trade secrets. Qualifications Minimum Qualifications: LU • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or related technical field and 5 years of related experience. Additional 4 years of equivalent professional experience will be considered in lieu of the degree requirement. • Minimum of 3 years of experience in software development or data science, with at least 2 years focused specifically on generative AI, LLM applications, or natural language processing (NLP). • Demonstrated hands-on expertise with foundation models (GPT-4, Claude, Gemini, Llama, Mistral) including prompt engineering, few-shot learning, fine-tuning, and API integration. • Strong proficiency in Python with experience in LLM frameworks and libraries (LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Anthropic API). • Experience implementing retrieval-augmented generation (RAG) systems including vector databases (Pinecone, Weaviate, ChromaDB, pgvector), embedding models, and semantic search. • Familiarity with cloud platforms (AWS, Microsoft Azure) and experience deploying AI/ML models in production environments, including Azure OpenAI Service. • Understanding of AI safety, responsible AI principles, and techniqu