• Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features. • Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation. • Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality. • Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries. • Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches. • Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail. • Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.

This is a part-time position. The AoPS Academy Virtual Campus is an after-school and weekend enrichment option for students, most of our Year-Round courses are offered late afternoons to evenings Monday through Friday. Many of our weekday classes start as early as 4pm ET and as late as 10pm ET. Classes are also offered all day on Sundays from 10am ET- 9pm ET. Summer camps are held Mon-Fri between June and August and run for 1, 2, or 4 weeks for 1.5 or 3 hours per day. This might be a good fit if you: - Are a rock-star teacher with a passion for working with high-achieving students - Are an engaging, enthusiastic instructor who can motivate gifted learners - Have strong math content knowledge - Aren’t afraid of student-led instruction, discussions, and allowing students to do the heavy lifting - Foster a classroom environment that encourages critical thinking and problem solving - Are comfortable teaching in a live virtual classroom environment - Have an interest in teaching elementary, middle school and high school levels For each lesson you will: - Teach enthusiastic elementary, middle, and high school students in our online classrooms. - Use our curriculum to teach participation-oriented classes that focus on instruction and developing skills, not on rote memorization. - Work in small classes (average size 12) with top performing students who are passionate about learning and are motivated to succeed. Requirements: - Must have a solid academic background in mathematics. - A bachelor's degree in a STEM field is required. A master's degree or higher in a STEM field is preferred. - Must have some experience using Zoom or similar video conferencing software and be comfortable managing a classroom in a virtual setting. - Must have some experience teaching or tutoring students at the K-12 level. Some experience working with advanced students is preferred. - All functions of this role must be completed in the U.S. Benefits and Compensation: The instructor rate at the Virtual Campus is $30/hour for Year-Round classes. The class rates represent flexible work time, 15 minutes early arrival immediately before class, and actual class time. - Paid Sick Leave * - 401K retirement plan - Eligible for discretionary bonus after 2 years - Employee discount on classes and Beast Academy Online (BAO) yearly subscriptions *Not applicable to all states At this time we are only hiring instructors who are located in and authorized to work in the United States. We are unable to offer sponsorship, including STEM-OPT and H-1B. AoPS Academy is a program of Art of Problem Solving (AoPS), a global leader in K–12 advanced education. AoPS is on a mission to discover, inspire, and train the great problem solvers of the next generation. Since 2003, AoPS has trained hundreds of thousands of the country’s top students through its online school, in-person academies, textbooks, and online learning systems. AoPS Academy offers unique problem solving curriculum at its in-person locations across the country as well as through the virtual campus. Just like our traditional AoPS Academy experience, our range of math course offerings at the AoPS Academy Virtual Campus allows students the opportunity to explore new interests while strengthening their math and problem-solving skills.

• Design scalable AI architectures for customer use cases in line with enterprise and security standards • Lead implementation of AI software components such as model serving, orchestration, retrieval, and integrations • Run time-bound proofs of value to demonstrate business outcomes quickly and clearly • Help migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructure, optimizing performance, reliability, and security • Take shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triage • Work closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliability • Collaborate with AI Strategists and Enterprise Architects to align technical scope with business outcomes and target-state architectures • Provide documentation, runbooks, and knowledge transfer to customer teams, and contribute to Dell AI Factory reference architectures and playbooks • Mentor other technical team members on AI architecture patterns, Dell AI infrastructure capabilities, and responsible AI practices

• Design and implement LLM-powered applications, including RAG pipelines, AI agents, chatbots, and generative AI integrations. • Manage AP/AR, invoice processing, collections, and payment runs. • Build, optimize, train, fine-tune, and evaluate machine learning and data science pipelines. • Process payroll in accordance with AU legislation. • Architect, deploy, and maintain AI infrastructure, including containerized environments, CI/CD pipelines for ML, monitoring, and scalable production systems. • Prepare financial and management reports (BS, P&L, Cash Flow). • Integrate with commercial LLM APIs (e.g., OpenAI, Anthropic) and open-source models. • Support AU accounting compliance; BAS/IAS prep is a plus. • Engage with business users and stakeholders to interpret requirements, scope AI use cases, and translate ambiguous needs into clear technical specifications. • Collaborate with product, engineering, and non-technical teams to align AI solutions with business objectives and user workflows. • Establish best practices for prompt engineering, model evaluation, and responsible AI development. • Document system architectures, runbooks, and handover materials to support long-term maintainability.