• Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning. • Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines. • LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring. • Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process. • System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs. • Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.

Role Description In collaboration with the Ministries of Education of Chiapas, Baja California, and Chihuahua, this consultancy will design an Institutionalization Roadmap for the Akelius Learning App programme to enable its sustainable and scalable adoption, aligned with formal curricula and with state and federal education priorities. Key Deliverables: - Situational analysis of the prioritized states - State-level Institutionalization Roadmap proposals (Chiapas, Baja California, and Chihuahua) - Proposal for a teacher training model, including a monitoring and evaluation framework - Consolidated final report Qualifications - Bachelor’s Degree in Education, Public Policy, Social Sciences, or related fields. - At least five (5) years of relevant professional experience in one or more of the following areas: - Education management - Learning technologies - Design of education policies or programmes - Engagement and coordination with state-level education systems - Fluency in Spanish - Fluency in English Requirements - Institutional analysis - Design of implementation or scalability roadmaps - Teacher training and professional development processes - Technical report writing Benefits - Paid parental leave - Breastfeeding breaks - Reasonable accommodation for persons with disabilities Company Description UNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence. At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling.

• Ship models into production • Debug production pipelines at client sites • Build new ML features ranging from classical ML, computer vision and LLMs • Work hands-on with GPU servers & multi-camera systems • Collaborate with customer surveillance teams and distribution partners

• Design and implement data-driven systems that enhance decision-making across dealer workflows • Develop predictive or optimization logic using structured dealership data • Translate business objectives into scalable intelligent services • Improve consistency, accuracy, and efficiency in operational processes • Ensure solutions are explainable, reliable, and aligned with enterprise and regulatory expectations • Build systems that extract insights from structured dealership data (CRM, DMS, transactional records) • Implement knowledge retrieval or search capabilities across policies and documentation where appropriate • Collaborate with product teams to surface actionable intelligence within dashboards and workflows • Design and deploy containerized AI services within AWS (ECS/Fargate) • Integrate intelligent services into existing APIs and application workflows • Monitor system performance, reliability, and integrity • Ensure data security, auditability, and compliance alignment