We are seeking a Director of AI Solutions & Engineering to lead the development and delivery of enterprise-grade AI solutions within the Corporate Data Office and AI team. This role combines technical expertise with strategic leadership and hands-on engineering skills, focusing on leveraging the full power of Artificial Intelligence, Machine Learning, and Data Science. The ideal candidate will own the end-to-end architecture and development of AI systems, focusing on Semantic Kernel, Azure Functions, Cosmos DB, Azure AI Search, and React-based frontends.
Requirements
- Define and own the enterprise AI architecture blueprint to support Retrieval Augmented Generation (RAG), AI agents, machine learning pipelines, and multi-modal AI solutions.
- Architect and implement end-to-end AI applications using Azure Semantic Kernel, Azure Functions, Cosmos DB, Azure AI Search, and modern front-end frameworks (React/Next.js).
- Oversee ML model lifecycle management from feature engineering to deployment, monitoring, and retraining.
- Direct data science initiatives that use predictive modeling, NLP, and statistical analysis to inform and optimize business processes.
- Guide teams in experiment design, A/B testing, and model performance analysis.
- Ensure ML/AI models are explainable, ethical, and auditable, aligning with governance and compliance requirements.
- Direct and contribute to development across the full stack—from prompt engineering and orchestration to data pipelines, model integration, and UI/UX.
- Champion the use of AI-assisted coding, testing, and documentation tools to maximize team productivity.
- Leverage n8n and similar workflow automation platforms to orchestrate AI pipelines and integrate with business processes.
- Continuously evaluate and adopt cutting-edge AI frameworks, SDKs, and cloud-native services.
Benefits
- Competitive salary
- Opportunities for professional development
- Collaborative work environment
Originally posted on Himalayas
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