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Selected role

Staff AI/ML Engineer

VTG Defense Chantilly, VA, US

Senior Full-time

Overview:

VTG is seeking a highly experienced and innovative Staff AI/ML Engineer to lead the design, development, evaluation, and deployment of advanced artificial intelligence solutions in support of mission-critical and enterprise initiatives. This position is located in northern Virginia. The ideal candidate is both technically exceptional and customer-facing — capable of advising senior leadership, engaging directly with government and commercial stakeholders, and serving as a trusted authority on emerging AI technologies and best practices. This individual must have hands-on experience building and operationalizing AI system and possess a strong understanding of modern AI governance, responsible AI principles, and evaluation methodologies.

Responsibilities:

Architect, design, and implement advanced AI/ML solutions, including:

Autonomous and semi-autonomous workflows
AI orchestration frameworks
Predictive analytics and traditional ML models

Lead the end-to-end AI lifecycle, including:

Data ingestion and preparation
Model development and fine-tuning
AI testing and evaluation
Model deployment and monitoring
Operational sustainment and optimization

Develop and mature AI evaluation and testing methodologies, including:

Traditional ML evaluation metrics
Red teaming and adversarial testing
Bias and fairness assessments
Performance and reliability testing
Human-in-the-loop evaluation strategies

Establish and implement AI governance frameworks, including:

Responsible AI practices
Security and compliance controls
Model transparency and explainability
Risk management
Data governance standards
Collaborate across engineering, cybersecurity, cloud, data, and product teams to deliver integrated AI solutions

Qualifications:

Required Qualifications:

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, or related technical field
5+ years of experience in artificial intelligence, machine learning, software engineering, data engineering, or related technical disciplines
Statistical modeling and AI evaluation methodologies
Experience with AI testing, validation, benchmarking, and evaluation frameworks for both traditional ML and generative AI systems
Experience implementing practical MLOps pipelines and AI operationalization frameworks
Strong programming experience with: Python, Jupyter Notebooks or equivalent notebook environments
Experience with big data and distributed processing technologies such as: Apache Spark, Databricks (preferred)
Experience with one or more major cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)
Familiarity with: Containerization and orchestration technologies CI/CD pipelines for AI deployments
Strong communication and presentation skills with demonstrated customer-facing experience
Ability to translate complex technical concepts into actionable business and mission solutions

Preferred Qualifications:

Master’s degree or PhD
Experience supporting Federal Government, DoD, Intelligence Community, or highly regulated environments
Experience implementing secure AI architectures in classified or sensitive environments
Expertise in modern AI/ML architectures, including agentic AI systems, large language models (LLMs), autonomous workflows, AI evaluation frameworks, and production-grade machine learning operations (MLOps)
Design scalable MLOps and AIOps pipelines to support secure and repeatable deployment of AI capabilities in enterprise and cloud environments
Demonstrated experience architecting and deploying enterprise-scale AI/ML solutions in production environments
Hands-on experience building and operationalizing:Agentic AI systems LLM-powered applications; AI orchestration frameworks; Autonomous decision-support systems
Familiarity with AI security, adversarial AI, and zero trust principles
Experience with GPU infrastructure, model optimization, and scalable inference architectures
Familiarity with: Vector databases; AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.)
Serve as a senior technical advisor to customers, executives, and program leadership on AI strategy, architecture, modernization, and emerging capabilities
Lead technical discussions, architecture reviews, demonstrations, and customer briefings with confidence and authority
Stay current with emerging AI research, industry trends, open-source technologies, and commercial AI platforms; continuously assess applicability to organizational and customer needs
Published research, conference presentations, patents, or contributions to the AI community preferred
Active participation in AI research communities, industry working groups, or open-source AI initiatives
Mentor engineers, data scientists, and software developers on AI best practices, architectures, and implementation strategies

Clearance Requirement

Active Secret security clearance required, or ability to obtain and maintain a Secret clearance.

Desired Characteristics

Strategic thinker with strong technical depth and hands-on engineering capability
Passion for continuous learning and staying ahead of rapidly evolving AI technologies
Comfortable operating in ambiguous and fast-paced technical environments
Strong leadership, collaboration, and mentoring abilities
Customer-focused with executive presence and consultative communication skills

Technologies & Tools

Experience with several of the following is desired:

Python
Jupyter Notebook
Apache Spark
Databricks
TensorFlow
PyTorch
Hugging Face
LangChain
Semantic Kernel
CrewAI
AutoGen
Kubernetes
Docker
Azure AI Services
AWS SageMaker
Google Vertex AI
Vector databases
MLflow
GitLab/GitHub CI/CD pipelines

Work Environment

This role may support hybrid, on-site, or customer-location work environments depending on program requirements. Occasional travel may be required for customer engagement, technical workshops, or industry events.

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