AI Solutions Architect

Construct Education
Summary
Join Construct Education as an AI Solution Architect to design and implement AI solutions that drive business growth and educational innovation. You will bridge the gap between business needs and technical AI implementations, ensuring seamless integration with organizational infrastructure and alignment with business and educational goals. Key responsibilities include sales support, strategy and framework development, technical architecture and implementation, cross-functional collaboration, project management and governance, and data visualization and data-driven decision-making. The ideal candidate possesses a Bachelor's degree in a relevant field, extensive experience in AI/ML solution architecture and implementation, and proficiency with various AI/ML tools and platforms. Success is measured by the successful delivery of AI solutions within budget and timelines, client satisfaction, revenue generation, effective collaboration, and compliance with standards. Construct Education offers a hybrid work model, various benefits, and a supportive company culture.
Requirements
- Bachelor's degree in Software Engineering, Education, AI/ML, Business or related fields
- Experience in AI/ML solution architecture and implementation
- Advanced understanding of Large Language Models (OpenAI, Anthropic Claude, Gemini)
- Proficiency with GenAI frameworks (Langchain, ChromaDB) and AI/ML platforms (Hugging Face)
- Experience with cloud services (Azure, AWS) and deployment platforms
- Knowledge of API programming, particularly Python and JavaScript
- Understanding of vector databases and RAG system implementation
- Proven experience in pre-sales technical consulting and client-facing roles
- Strong project management capabilities with experience in agile methodologies
- Ability to conduct feasibility studies and cost-benefit analyses
- Experience with stakeholder management and cross-functional collaboration
- Knowledge of compliance and governance frameworks in educational technology
- Understanding of instructional design principles and learning theories
- Experience with Learning Management Systems (LMS) and educational technology platforms
- Knowledge of data privacy regulations (FERPA, GDPR) in educational contexts
- Familiarity with pedagogical considerations and instructional design workflows
Responsibilities
- Effectively contribute to pre-sales consultation with account executives to align GenAI services with client requirements
- Support the development of sales collateral for sales initiatives, including sales presentations, application prototypes, and live demonstrations
- Collaborate with account executives, learning architects, and bid writers to outline AI services and technical solutions
- Conduct feasibility studies, cost-analysis, and estimation efforts for AI implementations
- Provide technical validation and effort estimation for GenAI Apps and LX Technology opportunities
- Collaborate with the client's project lead to align on priorities, needs, and technical requirements
- Provide a blueprint of technical architectural solutions for AI implementations
- Collaborate with the learning architect and project managers to integrate the GenAI strategy, tools, and processes into the Learning Strategy Framework and Project Master Plan
- Define AI application architecture, including and not limited to, foundation model selection, prompting frameworks, statistical parameters, RAG systems, and implementation strategies
- Support the design and implementation of robust AI application architectures
- Architect scalable AI solutions that integrate with existing educational technology infrastructure
- Ensure AI systems are optimized for performance, security, privacy, and regulatory compliance
- Oversee the technical implementation of AI-augmented design solutions and student-facing technologies
- Collaborate with GenAI team throughout the software development lifecycle
- Work closely with the Learning teams on systems prompting, where instructional strategies like mastery learning and Socratic tutoring define application behaviour
- Collaborate on knowledge bases and RAG systems, integrating vector databases for efficient information retrieval
- Collaborate with the Learning teams to ensure alignment between AI output and instructional principles through the implementation of effective training techniques
- Facilitate training sessions with learning technologists and cross-functional teams to improve AI literacy and project outcomes
- Collaborate with the Head of Delivery to define GenAI objectives, and create and manage the roadmap for AI implementation projects
- Establish workflows for projects, ensuring proper resource allocation
- Implement compliance, governance, and ethics frameworks, particularly aligning with United Nations human rights principles
- Maintain key documentation (e.g. system architecture, deployment guides & runbooks, configuration management, pre-sales materials, governance policies & procedures, risk registers), for new and ongoing AI projects
- Ensure human-centered design practices and human oversight in AI-augmented design
- Develop structured datasets that capture human-AI collaboration metrics
- Develop and maintain interactive data visualization dashboards that enable real-time monitoring
- Utilize data-driven insights to refine human-augmented design processes, optimize AI-human task allocation, and improve collaborative workflows
- Present efficiency data and ROI findings to executive stakeholders through clear and compelling documentation that demonstrates the business value of human-augmented approaches
Preferred Qualifications
- Relevant certification from AWS and Azure
- Background in change management and technology adoption strategies
- Knowledge of educational compliance standards and data governance
- Experience with containerization (Docker) and CI/CD pipelines
- Understanding of human-centered design principles
Benefits
- Employee Assistance Program (EAP)
- Medical allowance
- Commute allowance
- Flexible work for genuine career-life fit
- A healthy and supportive company culture
- Generous annual leave
- Paid maternity and paternity benefits
- Study leave
- Professional development and mentoring
- Construct Culture Club events
- Company funded lunch and drinks every 6 weeks