AI Solutions Architect Remote | Contractual (Full-Time Hours) | US-MST Shift Compensation: $1,800–$2,000 USD (Net) About Summit360 Solutions Summit360 Solutions (S360) is building an elite house of operational talent trained to leverage AI, systems thinking, and process automation to help businesses scale efficiently. We don’t just provide manpower — we build operators who understand systems. As we expand, we’re looking for a high-caliber AI Solutions Architect / Engineer to spearhead our AI initiatives across internal systems, automation frameworks, and client-facing solutions. This role will be instrumental in shaping how we productize AI capabilities for the market. Role Overview The AI Solutions Architect will lead the design, integration, and deployment of AI-driven systems across Summit360’s internal operations and client environments. This role blends: Systems architecture Automation engineering AI tool orchestration Web app prototyping Revenue enablement You will work across internal teams (Recruitment, Operations, HR, Finance Systems) and external clients to build scalable AI-powered solutions that increase efficiency and unlock new service offerings. This is a remote contractual role with strong potential to evolve into a full-time leadership position. Key Responsibilities 1. AI Architecture & Strategy Design and oversee AI system architecture across internal and client projects Evaluate and recommend AI tools, APIs, and frameworks Develop scalable AI integration roadmaps Standardize AI implementation frameworks across the organization 2. Automation & Systems Engineering Build AI-powered automations using tools such as: OpenAI / LLM APIs Zapier / Make / n8n Airtable / HubSpot / CRM integrations Webhooks and API connections Develop lightweight internal web applications or dashboards Architect prompt systems and AI workflows that can be reused across teams 3. Internal AI Enablement Support Operations and Recruitment teams in improving productivity via AI Optimize internal workflows with automation and systemization Create documentation and SOPs for AI deployment 4. Client-Facing Solutions Translate client requirements into AI-driven system designs Prototype and deploy automations or web apps Assist in technical scoping for proposals and sales conversations Help position S360 as an AI-enabled operational partner 5. Governance & Scalability Ensure security, data handling, and compliance best practices Create scalable AI templates that can be replicated across clients Monitor performance and continuously improve AI outputs Ideal Candidate Profile We are looking for someone who: Thinks in systems, not tasks Understands both technical architecture and business impact Can build, test, and deploy quickly Has strong autonomy and ownership Is comfortable operating in a startup-like, high-initiative environment Required Skills & Experience Hands-on experience integrating AI APIs (OpenAI, Anthropic, etc.) Experience building automations (Zapier, Make, n8n, or similar) Strong understanding of APIs, webhooks, and system integrations Experience building lightweight web apps (React, Next.js, Node, or similar frameworks preferred) Strong prompt engineering and AI workflow design experience Ability to translate business needs into technical solutions Experience working with CRMs and operational tools Nice to Have Experience productizing AI services Experience in agency, BPO, or operations-heavy environments Background in building AI copilots or internal AI tools Familiarity with HubSpot, Airtable, Notion, ClickUp integrations Exposure to cloud infrastructure (AWS, GCP, Vercel, etc.) What Success Looks Like in 6 Months Internal AI automations significantly reduce manual workload At least 2–3 AI-enabled services productized for client offerings Repeatable AI frameworks built and documented Summit360 positioned strongly in the market as an AI-enabled operational partner Why Join Summit360 You won’t just be another engineer executing tickets. You will architect the AI backbone of a scaling company — with real autonomy and influence over direction. If you’re excited about building systems that power businesses — not just writing code — we’d love to speak with you.

Your responsibilities will include: Collaborating with engineers and scientists to fine-tune open-source and hosted LLM models for specific industry applications in customer experience. Assisting with data collection and preparation, ensuring that models are trained on high-quality, relevant datasets. Evaluating LLM performance through rigorous testing and analysis, identifying areas for improvement. Documenting your findings and learnings clearly and concisely, contributing to knowledge sharing within the team.

As a Machine Learning Engineer, you’re a highly motivated individual with strong fundamentals in computer science and hands-on experience across the full model development lifecycle. Develop and deliver end-to-end machine learning solutions, including defining technical requirements, architecting scalable systems, and implementing monitoring, logging, and maintenance workflows. Collaborate closely with engineers, product managers, clinicians, and cross-functional partners to build new ML products and enhance existing systems. Lead the design and implementation of MLOps frameworks, including pipeline development, CI/CD integration, drift detection, retraining workflows, and rollback strategies. Monitor model performance in production, identify issues, propose remediation steps, and ensure strong test coverage and system reliability. Utilize contemporary software engineering practices to implement scalable, secure, and maintainable AI/ML systems. Develop and customize API integrations to enable seamless connectivity between cloud-based systems and ML services. Participate in architectural discussions to ensure ML platforms meet compliance, performance, and scalability standards.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a PhD-level researcher for a 10–12 week summer internship focused on a critical technical and design challenge: Educational AI Memory. The selected candidate will define how an AI system effectively retains, synthesizes, and utilizes long-term context from multiple perspectives to drive truly personalized education. We are building an advanced AI platform designed to facilitate long-term educational planning and decision-making across three key stakeholders: Students, Parents, and Teachers. This role combines theoretical framework design, applied AI prototyping, and empirical validation in a live product environment. Key Responsibilities - Framework Design: Develop a theoretical framework for “Triangulated AI Memory” within an educational context. - Applied Research: Collaborate with the engineering team to prototype memory architectures (e.g., RAG systems, vector stores, long-term context management) aligned with pedagogical objectives. - User Modeling: Explore and formalize methods for representing evolving student, parent, and teacher perspectives within AI systems. - Validation Studies: Design and conduct qualitative and/or quantitative research to evaluate system utility, trust, and personalization effectiveness. - Product Translation: Translate research concepts into actionable technical specifications. - Publication: Contribute to a co-authored paper targeting top-tier venues (e.g., CHI, LAK, EDM, NeurIPS) based on the summer’s research. Qualifications - Currently enrolled in a PhD program in Computer Science, Human-Computer Interaction, Artificial Intelligence, Learning Sciences, or a related field, with a research focus in machine learning, memory architectures, user modeling, or human-centered AI. - Strong track record of research in AI and machine learning. - Demonstrated experience in User Modeling, Recommender Systems, Large Language Models (LLMs), or related areas. - Solid understanding of the ethical, privacy, and design implications of AI in human-centered environments. - Ability to translate theoretical research concepts into clear, actionable product and technical specifications. Benefits - 401(k) matching - Flexible schedule - Opportunity for advancement Company Description 7EDU is an education technology organization dedicated to long-term academic planning and student development. For over a decade, we have supported K–12 learners through structured advising, college admissions strategy, and personalized mentorship, while building proprietary tools and frameworks to support scalable, data-informed guidance. Our AI systems are designed to support longitudinal educational decision-making — integrating student progress, parental input, and instructional context to enable personalized, responsible, and evidence-based support. Application Process Please email your application to: hiringteam@7edu.org - Email Subject: AI Research Internship FULL NAME - Resume - A brief cover letter outlining your research interests regarding AI memory or user modeling. - A link to Google Scholar or an attachment of one relevant writing sample/paper. Flexible work from home options available.