Ai Solutions Architect

**Location: Cape Town**

**Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote**

**Contract Type: Permanent**

**Working Hours: 10H00 - 18H30 SAST**

**Job Summary**:
As an AI Solution Architect, you will design and implement AI solutions that drive business growth and educational innovation. You will be responsible for bridging the gap between business needs and technical AI implementations, ensuring that AI models and systems integrate seamlessly with organizational infrastructure and are aligned with business and educational goals.

**Key Responsibilities**:
**Sales Support**
- Effectively contribute to pre-sales consultation with account executives to align GenAI services with client requirements.
- 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

**Strategy and Framework Development**:

- 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

**Technical Architecture and Implementation**:

- 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

**Cross-Functional Collaboration**
- Collaborate with GenAI team throughout the software development lifecycle
- 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

**Project Management and Governance**
- 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

**Data Visualization and Data-Driven Decision-Making**
- 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

**What does success look like?**
- Successful delivery of AI solutions within project timelines and budget constraints
- AI implementation efficiency gains (target: 30% reduction in manual processes)
- Client satisfaction and successful project implementations
- Revenue generation from AI-driven solutions and successful POC conversions
- Effective collaboration with cross-functional teams and stakeholders
- Compliance with security and governance standards (100% compliance target)
- Innovation impact through scalable AI architecture designs

**Requirements**:
**Qualifications and Technical Expertise**
- 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

**Business and Strategic Skills**
- 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 manage