Head, AI Engineering
Indexed description
The Role
We are looking for a visionary, results-driven Head of AI Engineering to join our Technology leadership team and power the next generation of education. In this role, you will lead the strategy, architecture, and deployment of modern AI technologies across our network. You will build and manage an agile team of AI software engineers to ship high-impact, user-centric tools—leveraging generative models, agentic workflows, and cloud-native services—that transform how teachers instruct, how schools operate, and how students learn.
Key Responsibilities
- AI Strategy & Vision: Define the network-wide AI roadmap in close collaboration with executive leadership, educators, and product teams to turn cutting-edge AI capabilities into scalable tools.
- Engineering Leadership: Build, mentor, and manage a high-performing team of AI software engineers and product-focused developers, fostering a culture of rapid prototyping, continuous learning, and software excellence.
- Architecture & Delivery: Oversee the end-to-end design and integration of AI applications, intelligent agents, Retrieval-Augmented Generation (RAG) systems, and custom UI/UX touchpoints into our enterprise stack.
- Enterprise Cloud Integration: Partner with Cloud Engineering to deploy secure, high-availability AI services across AWS and GCP environments using modern CI/CD practices.
- Stakeholder Enablement: Act as a trusted advisor to school leaders and non-technical stakeholders, translating complex AI capabilities into practical use cases that drive real-world adoption.
- Governance & Responsible AI: Establish enterprise guidelines for AI usage, data privacy (FERPA compliance), bias mitigation, model evaluation, and safety guardrails.
- Leadership Experience: 7+ years in software engineering leadership, with a track record of hiring, mentoring, and leading high-performing engineering teams.
- AI Application Delivery: 5+ years of experience delivering production-grade software applications, with demonstrable experience building and shipping AI/LLM-powered features at scale.
- Modern AI Tech Stack: Proficiency with LLM orchestration frameworks (e.g., LangChain, LlamaIndex), AI APIs (OpenAI, Anthropic, Vertex AI, Bedrock), vector databases, and modern Python-based microservices.
- Software Engineering Foundations: Strong foundation in API design, cloud architecture (AWS/GCP), system integration, and standard software engineering practices.
- Product & User Focus: Proven ability to translate user needs into technical solutions with a strong focus on UX, user adoption, and business impact.
- Mission Alignment: Passion for K-12 education and a commitment to Success Academy’s mission.
$280,000 - $300,000 USD
Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth.
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We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth.
Success Academy Charter Schools does not offer employment-based immigration sponsorship.
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