Senior Principal AI Engineer

- Design, develop, and deploy end-to-end AI/ML solutions, including classical ML and generative AI use cases - Build and maintain production-ready AI pipelines (data ingestion, feature engineering, model training, evaluation, deployment, monitoring) - Apply MLOps best practices, including CI/CD for models, versioning, automated retraining, monitoring, and rollback - Ensure AI solutions are scalable, secure, performant, and reliable in real-world environments - Define AI solution architectures aligned to client needs, constraints, and long-term sustainability - Set and uphold engineering standards for AI development, testing, deployment, and monitoring - Evaluate and introduce emerging AI technologies (e.g. GenAI, LLMs, vector databases) where they deliver clear value - Engage directly with clients to understand AI use cases, data readiness, risks, and success criteria - Lead technical workshops and solution design sessions with client stakeholders - Act as a trusted technical adviser, guiding AI feasibility, trade-offs, and implementation strategy - Embed Responsible AI principles including explainability, bias mitigation, auditability, and data privacy - Ensure compliance with data protection regulations (e.g. GDPR) and industry standards - Mentor AI engineers and data scientists, providing technical guidance and code/model review - Contribute to internal accelerators, reusable components, and AI delivery playbooks