Head, AI Engineering

Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential.

As the fastest-growing, highest-performing charter school network in New York State, Success Academy is reimagining K-12 public education. Nationally recognized for our innovative, whole-child school model and outstanding academic results, Success Academy educators are empowering children from all backgrounds with the knowledge, skills, and self-belief to succeed in college and in life.

We now need a results-driven Head, AI Engineering, to join our Technology team. Success Academies is seeking a results-driven Head, AI Engineering to join our Technology team. Working within our central Network office and reporting to the CTO, you will be responsible for establishing and maintaining a comprehensive information security and privacy program tailored to the unique needs of a K-12 school environment. This critical role focuses on safeguarding student and staff data, proactively managing cybersecurity risks, and ensuring strict compliance with all relevant regulations in an educational setting. The Success Academy Technology team manages a modern technology environment built around cloud and SaaS-based applications, and operates networking and in-school technologies across 59 school locations.

Requirements:

• 5+ years of experience in AI/ML development, with a strong portfolio of successfully delivered AI projects.
• 7+ years of experience in a leadership or management role, leading and mentoring AI or software development teams.
• Proven experience in designing and implementing end-to-end AI/ML solutions in a production environment.
• Experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms preferable AWS cloud platform and working knowledge of GCP and their AI/ML services.
• Experience with MLOps principles and tools for model versioning, deployment, and monitoring.

Skills:

• Expertise in programming languages commonly used in AI development, such as Python.
• Strong understanding of data structures, algorithms, and software design principles.
• Deep knowledge of machine learning algorithms, statistical modeling, and data science methodologies.
• Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate a team.
• Ability to translate complex business problems into technical AI solutions.
• Strong problem-solving abilities and a data-driven approach to decision-making.
• Passion for education and a commitment to Success Academies’ mission.

Responsibilities:

• Lead and mentor a team of AI developers, fostering a culture of innovation, collaboration, and continuous learning.
• Architect, design, and oversee the development of scalable and robust AI/ML models and applications.
• Define and implement best practices for AI development, MLOps, model deployment, and performance monitoring.
• Collaborate closely with product managers, data scientists, and other engineering teams to identify opportunities for AI integration and ensure alignment with organizational goals.
• Manage the full lifecycle of AI projects, from conceptualization and research to deployment and ongoing optimization with production support.
  Stay abreast of the latest advancements in AI, machine learning, and deep learning, evaluating and recommending new technologies.
• Provide management with high-level updates and understanding of the technological advancements and road map accomplishments.
• Ensure the quality, security, and ethical considerations of all AI solutions.
  Communicate technical concepts and project progress effectively to both technical and non-technical stakeholders.
• Contribute to the strategic vision for AI within Success Academies and help shape the future of our technological landscape.
• Work with the Cloud Engineer…