Senior AI Engineer

Overview

Bridge Phase is a software engineering company focused on designing, building, securing, and operating cutting-edge software solutions that drive mission success and operational excellence for Federal Government organizations. We are dedicated to supporting the Air Force’s pursuit of technological superiority by delivering advanced artificial intelligence (AI) and machine learning (ML) capabilities that enhance cyber operations, decision-making, and mission effectiveness. Our goal is to be a trusted partner in integrating innovative AI solutions that bolster cyber resilience and operational agility.

We’re looking for a Senior AI Engineer to join our team supporting the U.S. Air Force’s Unified Platform Software Factory in San Antonio. In this role, you will lead the design, development, and deployment of AI/ML models and tools that improve threat detection, automate analysis, and support cyber defense workflows. You will collaborate closely with cyber operators, software engineers, and data scientists to build AI-driven solutions that accelerate decision cycles and enhance mission outcomes.

We are hiring for both fully remote positions and hybrid roles based in San Antonio, TX. Candidates local to San Antonio should expect a mix of onsite and remote work as part of a hybrid schedule.

• 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., Tensor Flow, PyTorch, scikit-learn).
• Integrate AI capabilities into existing cyber defense platforms and Dev Sec Ops  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.

• 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 Tensor Flow, 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 Dev Sec Ops  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).

While we’ve outlined our ideal candidate, we recognize the diversity of AI expertise and encourage applicants with strong technical foundations, creativity, and a passion for advancing defense capabilities to apply. We value team members who are lifelong learners, critical thinkers, and mission-focused innovators.

At Bridge Phase, our values shape our culture and guide our actions. We act with integrity, honesty, and respect, earning trust and fostering collective success. We are critical thinkers and problem solvers, driving innovation and positive disruption to solve hard challenges at speed and scale. Our work is characterized by courage, compassion, commitment, and teamwork. We apply disciplined engineering principles and a proven agile approach that deliver flexible, simplified, durable and performant…