Hybrid Senior AI Engineer

at BridgePhase

• Job title: Senior AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Cyber Security, Docker, Google Cloud Platform, Keras, Kubernetes, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, San Antonio, United States

About the role

• Senior AI Engineer developing AI/ML models and tools to support cyber operations for the U.S. Air Force. Leading design, development, and deployment while collaborating with cyber operators and engineers.

Responsibilities

• Lead the design and implementation of AI and ML models tailored to cyber operations challenges such as anomaly detection, threat classification, and predictive analytics
• Develop and maintain scalable data pipelines and MLOps workflows using modern tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Integrate AI capabilities into existing cyber defense platforms and DevSecOps pipelines
• Collaborate with data and cyber engineers to curate, preprocess, and analyze large datasets for model training and validation
• Conduct research and experimentation to evaluate emerging AI techniques relevant to cyber security and operational needs
• Optimize AI models for performance, accuracy, and operational efficiency in cloud and containerized environments
• Provide SME guidance on AI best practices, explainability, and ethical AI considerations within mission contexts
• Support automation of threat detection, incident response, and cyber situational awareness through AI-driven tools
• Document AI workflows, models, and system integration points to support knowledge sharing and continuous improvement

Requirements

• 5+ years of experience in AI/ML engineering, data science, or related fields
• Strong background in machine learning algorithms, neural networks, natural language processing (NLP), and anomaly detection
• Proficiency with Python and AI/ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, or similar
• Experience with data engineering tools, cloud platforms (AWS, Azure, GCP), and container orchestration (Kubernetes, Docker)
• Familiarity with cybersecurity concepts and challenges, preferably within DoD or intelligence community environments
• Knowledge of DevSecOps principles and ability to integrate AI models into CI/CD pipelines
• Strong analytical, problem-solving, and communication skills
• Active secret clearance is required
• B.S. or higher in Computer Science, Data Science, AI, or related technical discipline (advanced degrees preferred)

Benefits

• Competitive compensation that reflects your skills and impact
• Multiple bonus programs rewarding performance, company growth, and employee referrals
• Flexible PTO with 20 days to use when you need them
• All federal holidays paid to help you truly recharge
• Paid sick leave because health always comes first
• 100% paid parental leave
• 401(k) with 6% match and no vesting period
• Top-tier medical, dental, and vision plans with low out-of-pocket costs
• Short- and long-term disability and life insurance included
• Pet insurance to support your four-legged family
• Annual professional development budget for training, certifications, and conferences
• Two paid community service days for causes that matter to you
• Social pod budget to connect with teammates wherever you live