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# AI Engineer

- **Company:** VANTAGE AI CORPORATION
- **Location:** Vienna, VA, United States
- **Experience:** Experienced
- **Salary:** $130,000 - $150,000
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Amazon Web Services, Cyber Security, Python (Programming Language), Machine Learning, Software Engineering, Unstructured Data, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Model Validation, Generative AI, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=748c2379ec3e4644

## About the Role

* Bachelor's (Required), * AI: 4 years (Required)
 * Data science: 4 years (Required)
 * Machine learning: 3 years (Required)
 * Python: 4 years (Required)
 * AWS: 4 years (Required)
 * RAG: 2 years (Preferred)

## Description

recommendations. Job responsibilities * Design, develop, train, test, deploy, and maintain AI and machine learning models for enterprise-scale and Government applications. * Develop and operationalize production of AI/ML solutions, ensuring models and supporting systems are reliable, scalable, maintainable, and appropriate for VA mission requirements. * Collect, clean, transform, analyze, and prepare structured and unstructured data for AI/ML model development, training, testing, and evaluation. * Evaluate potential AI technologies, models, tools, frameworks, and architectures and recommend solutions appropriate for complex Federal Government and cybersecurity use cases. * Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering, analytics, and operational problems across a large enterprise environment. * Develop and support Generative AI and Large Language Model (LLM) solutions, including model configuration, system prompts, classifiers,
fine-tuning, content moderation, safety filters, and other model controls. * Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness, honesty, and overall model performance before outputs are incorporated into VA efforts. * Design and execute AI/ML model evaluation and validation methodologies, including benchmark testing and comparative evaluation of model outputs. * Perform and support AI red-team testing to identify weaknesses, unintended model behaviors, bias, security vulnerabilities, and other risks associated with AI-generated outputs. * Implement mechanisms and controls to improve the factuality and grounding of AI/LLM outputs, including system-level instructions, source attribution, content controls, and appropriate response behavior when information is incomplete, contradictory, or uncertain. * Produce technical documentation, analysis, recommendations, briefings, and other materials that clearly communicate AI architecture, model
performance, risks, controls, and recommended courses of action to both technical and non-technical stakeholders. * Deliver Government-owned AI-related technical artifacts developed under the program, including applicable models, model weights, algorithms, configurations, documentation, data models, source code, and supporting technical components. * Other responsibilities as assigned Minimum qualifications * Minimum of 5 years of experience in relevant fields including IT security, data science, or software engineering, design, development, or deployment of AI or machine learning systems in enterprise or Government environments * Experience working on data science, machine learning, or AI projects, either through internships, research projects, or professional roles. * Experience building, training, and deploying machine learning models and AI systems in a production environment. * Experience collaborating with cross-functional teams, including data scientists,
software developers, and domain experts. * Experience in data collection, cleaning, and analysis techniques to prepare datasets for AI modeling.

Pay: $130,000.00 - $150,000.00 per year