Contribute to pre-sales consultation and align GenAI services with client requirements
Support development of sales collateral, application prototypes, and live demonstrations
Conduct feasibility studies, cost-analysis, and effort estimation for AI implementations
Provide technical validation and effort estimation for GenAI apps and LX technology opportunities
Collaborate with client project leads, learning architects, and project managers to define priorities and integrate GenAI into learning strategy frameworks
Define AI application architecture including foundation model selection, prompting frameworks, statistical parameters, RAG systems, and implementation strategies
Architect and oversee implementation of scalable AI solutions that integrate with existing educational technology infrastructure
Ensure AI systems are optimized for performance, security, privacy, and regulatory compliance
Oversee technical implementation of AI-augmented design solutions and student-facing technologies
Collaborate across the software development lifecycle with GenAI and Learning teams on systems prompting, knowledge bases, and vector database integration
Facilitate training sessions to improve AI literacy and ensure alignment between AI output and instructional principles
Define GenAI objectives, create and manage AI implementation roadmaps, and establish project workflows
Implement compliance, governance, and ethics frameworks aligned with UN human rights principles
Maintain key documentation: system architecture, deployment guides, runbooks, configuration management, governance policies, and risk registers
Develop structured datasets and interactive data visualization dashboards to monitor human-AI collaboration metrics and present ROI to stakeholders
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)
Familiarity with pedagogical considerations and instructional design workflows
Preferred: AWS and Azure certification, change management and technology adoption experience, Docker and CI/CD experience, knowledge of educational compliance and data governance, understanding of human-centered design principles
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