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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** MITRE Corporation - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $143,600.0 - $179,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Computer Vision, Big Data, C++ (Programming Language), Cloud Computing, Encodings, Computer Programming, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Linux, DevOps, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, Modular Design, Natural Language Processing, Named Entity Recognition, NoSQL, Object Detection, Rapid Prototyping Process, Scala (Programming Language), Software Construction, Software Engineering, SQL Databases, Data Streaming, Reinforcement Learning, Rust (Programming Language), Cloud Platform System, Transfer Learning, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Model Validation, Julia, Topic Modeling, Generative AI, Agentic-AI, Git, Few-Shot Learning, Storage Technologies, Information Technology, Data Analytics, Dask, Apache Kafka, Apache Nifi, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** October 28, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9270465/senior-ai-engineer ## About the Role The successful candidate for this position is an Artificial Intelligence (AI) engineer who combines a solid theoretical and technical background with the ability to identify and formulate problems, develop and evaluate solutions, and effectively communicate results. Our organization values innovation and believes that keeping up with the latest research and technologies is essential. The candidate should have hands-on experience in several of the areas specified below, however it is not required that a candidate has experience in all of these areas. Advanced Data Analytics and Artificial Intelligence * Machine Learning (e.g., Supervised, Unsupervised, Deep Learning, Reinforcement) and Model Evaluation * Large Language Models and Techniques (e.g., Prompt Engineering, Few-Shot Learning, Retrieval Augmented Generation (RAG), LLM Fine-Tuning, LLM Hosting) * Agentic AI Frameworks and Approaches * DevOps for AI * Computer Vision (e.g., Object Detection, Image Classification, Diffusion Models) * Natural Language Processing (e.g., Encoders, Summarization, Classification, Entity Recognition, Topic Modeling) * Rapid Prototype Development * Computer Programming - Required: Python; Preferred: C/C++, Java, Scala, Julia, Rust * Databases - SQL, NoSQL, Vector, Graph Data Engineering, * Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience. * Hands-on proficiency with Artificial Intelligence and Data Science techniques, including Large Language Models, Natural Language Processing, Computer Vision, or other Machine Learning techniques (e.g., supervised, unsupervised, deep learning, reinforcement learning). * Computer programming skills (e.g., Python, C/C++, Java, Scala, Julia, Rust). * Must have an active Top Secret/SCI with polygraph U.S Government issued Security Clearance. Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. * This position requires a minimum of 3 days per week on-site. Preferred Qualifications: * Master's degree in Computer Science, Mathematics, Applied Mathematics, Data Science, or related field with 3 years of relevant experience; PhD in Computer Science, Mathematics, Applied Mathematics, Data Science, or related field. This requisition requires the candidate to have a minimum of the following clearance(s): Top Secret/SCI/Polygraph ## Description * Distributed Data Processing and Big Data Architectures (e.g., Spark, Hadoop, Ray, Dask, Kafka) * Data Pipeline/ETL Development and Orchestration (e.g., Airflow, Dagster, NiFi) * Batch and Streaming Data Processing * Data Modeling, Schema Design, and Data Quality Assessment * Data Governance, Access Controls, and Secure Data Handling * Cloud-based Data Platforms and Storage Architectures Software Development and MLOps * Computer Programming and Databases - Proficiency in Python and SQL required * Software Engineering Best Practices (e.g., version control, testing, modular design) * MLOps and Model Operationalization (e.g., model deployment, monitoring, reproducibility, containerization) * Linux-based Development Environments, Git, Containers, and Cloud Platforms Expectations for this position are as follows: * Rapidly prototypes and evaluates Artificial Intelligence and Machine Learning approaches to assess feasibility and support project needs. * Leads simple projects or has accountability for tasks on a complex project; plans and guides the work of others. * When in a contributor role, works independently and requires minimal instruction, guidance, and direction. * Identifies and solves complex problems; takes new perspectives on existing solutions; exercises judgment within the Data Science and Artificial Intelligence disciplines. * Leverages advanced knowledge of Data Science and Artificial Intelligence and shares that knowledge with others. * Communicates complex results, both in writing and verbally, to technical and non-technical audiences.