Senior Director, AI

Summary

Join MetroStar as the Sr. Director, AI, a hands-on technical leadership role focused on productizing and scaling AI solutions. You will lead the AI product lifecycle, from ideation to deployment, ensuring continuous improvement and business impact. This position requires deep technical expertise in AI/ML frameworks, cloud platforms, and emerging AI trends. The ideal candidate possesses product management experience, Python proficiency, and a history of leading technical teams. You will collaborate with internal and external teams, drive innovation, and represent MetroStar at industry events. MetroStar offers a generous benefits package and opportunities for professional growth.

Requirements

• An active, government issued Top-Secret security clearance OR the ability to obtain
• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 10+ years of overall experience in AI, machine learning, and productionizing AI solutions
• Expertise in Python and Python libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Hands-on experience with open-source technologies and machine learning frameworks
• Hands-on experience with cloud-native AI/ML services, including building serverless architectures, ML pipelines, and managing data lakes
• Knowledge of advanced algorithms such as Reinforcement Learning, Generative Adversarial Networks (GANs)
• Proven track record of building and operationalizing AI models, particularly in GenAI, LLMs, Computer Vision, and Supervised/Unsupervised learning
• Experience designing and building autonomous AI agents and workflows that can operate without continuous human intervention
• Experience in AI and/or SaaS product management, including defining product roadmaps, gathering user requirements, and ensuring models meet business objectives
• Proven ability to lead small agile teams and mentor junior developers
• Strong written and verbal communication skills, including proposal writing and presenting to technical and non-technical stakeholders
• Experience working with government contracting, compliance requirements, and the ability to navigate complex regulatory environments
• Ability to define and measure key performance indicators (KPIs) for AI projects
• Experience developing go-to-market strategies for AI products and solutions in collaboration with business leadership

Responsibilities

• Design, build, and deploy AI models, ensuring they are scalable, secure, and aligned with business needs
• Lead the AI product lifecycle, from ideation to deployment, ensuring continuous improvement and measurable business impact
• Code and troubleshoot solutions while mentoring junior staff
• Collaborate with internal teams, external partners, and government stakeholders to align AI initiatives with go-to-market strategies, ethical AI practices, and regulatory requirements
• Drive innovation, ensure AI solutions are impactful, and represent MetroStar at industry events and client meetings to maintain thought leadership in the AI space

Preferred Qualifications

Proficiency in additional AI/ML frameworks and libraries such as Keras, XGBoost, or Hugging Face

Benefits

• Generous benefits package
• Professional growth
• Valuable time to recharge