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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing generative AI solutions, including prompt engineering and fine-tuning, while ensuring compliance with Responsible AI practices. Proficient in integrating AI technologies into existing platforms and translating operational requirements into deployable solutions.
Highest-signal resume keywords
Generative AI Solutions DesignPrompt EngineeringPython ProgrammingAPI IntegrationCloud Experience (AWS/Azure)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AILLMsFine-TuningFew-Shot LearningRAG SystemsMLOpsSynthetic Data GenerationGeospatial Data FormatsMulti-Agent WorkflowsAI Safety
Soft Skills
Strong Communication Skills
Tools & Technologies
GPT 4ClaudeGeminiLangChainHugging FaceOpenAI APIsPineconeWeaviateChromaDBPlotly
Certifications & Qualifications
Relevant Cloud/AI CertificationsTS/SCI Security Clearance
Industry Keywords
DoD SystemsDefense-Grade AICOCOM OperationsInformation OperationsAI-Assisted Analysis
Tech Stack
Tools & technologiesAWSAzureCloudD3.jsJavaScriptMavenPythonTypeScript
About the role
Key responsibilities & impact- Design and optimize generative AI solutions using GPT 4/5, Claude, Gemini, and Azure OpenAI
- Perform prompt engineering, fine-tuning, and retrieval augmented generation (RAG)
- Implement agentic LLM architectures with structured outputs, 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 through documented APIs and ensure interoperability with DoD systems including Maven, C2IE, and IRIS
- Research emerging generative AI techniques including multimodal models, synthetic data generation, and 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 human-in-the-loop workflows
- Support MVP-aligned milestone delivery, TRL progression, and ROI measurement
- Document novel prompting techniques, model configurations, and workflows that may constitute intellectual property or trade secrets
Requirements
What you’ll need- Bachelor’s degree in a related technical field and minimum of 5 years relevant experience; an additional 4 years of experience may substitute for the bachelor's degree
- Minimum of 3 years in software development or data science, including 2+ years focused on generative AI, LLMs, or NLP
- Hands-on experience with foundation models including GPT 4, Claude, Gemini, Llama, and Mistral
- Experience with prompt engineering, few-shot learning, fine-tuning, and API integration
- Strong Python skills
- Experience with LangChain, LlamaIndex, Hugging Face, and OpenAI/Anthropic APIs
- Experience building RAG systems using vector databases such as Pinecone, Weaviate, ChromaDB, and pgvector
- Cloud experience with AWS and Azure
- Experience deploying AI/ML models in production
- Understanding of AI safety, hallucination mitigation, bias reduction, and prompt injection protection
- Experience with Git, CI/CD, and DevSecOps practices
- U.S. citizenship required
- Ability to obtain a final TS/SCI with Poly security clearance
- Current, valid U.S. passport for potential OCONUS travel
- Master’s degree preferred
- Experience with agentic AI architecture, multi-agent workflows, and LLM tool-use preferred
- Hands-on experience with fine-tuning, RLHF, DPO, and LoRA/QLoRA preferred
- Familiarity with multimodal models and defense/intelligence applications preferred
- Experience with IRIS, OMEGA, or similar operational platforms preferred
- Background supporting IO, PSYOP, influence analysis, or COCOM operations preferred
- Knowledge of MLOps, A/B testing, and LLM evaluation frameworks preferred
- Experience with synthetic data generation, simulation, or Monte Carlo methods preferred
- Understanding of geospatial data formats such as GeoJSON and KML and visualization tools such as Plotly and D3.js preferred
- Strong communication skills for technical-to-nontechnical translation and customer demos preferred
- Relevant cloud/AI certifications preferred
Benefits
Comp & perks- Potential eligibility for overtime
- Potential eligibility for shift differential
- Potential eligibility for a discretionary bonus