London
Role Specification Strategic Vision & Governance • Define the global AI & Intelligent Automation strategy, fully aligned with enterprise digital transformation and innovation goals., • Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring adherence to regulatory and risk requirements (e.g., NIST AI RMF, EU AI Act)., • Oversee the design and deployment of enterprise‑grade AI solutions using Python, .NET, and cloud‑native MLOps pipelines., • Direct teams working with advanced frameworks such as PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI., • Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI., • Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery., • Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview)., • Drive adoption of Delta Lake, Iceberg, and Hudi to support scalable data lakehouse architectures., • Champion multi‑cloud architecture across Azure, AWS, and GCP., • Ensure resilient, secure, and cost‑efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep., • Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins, Argo CD)., • Guide the integration of AI/ML pipelines into enterprise‑scale .NET Core applications and service‑oriented architectures., • Modernize legacy systems through microservices, REST/gRPC APIs, and event‑driven architectures (Azure Service Bus, Kafka)., • Drive end‑to‑end intelligent automation initiatives using Power Automate, Blue Prism, and Automation Anywhere., • Integrate cognitive services (Azure Cognitive Services, AWS Comprehend, Form Recognizer, Speech/Translation APIs) to enhance workflow intelligence., • Oversee integration of analytics and AI capabilities to deliver measurable business impact., • Advance analytics maturity using Power BI, Looker, and Azure Analysis Services., • Ensure alignment with enterprise security frameworks (SOC2, ISO27001, NIST)., • Oversee identity and access management via Azure AD, OAuth2, OpenID Connect, and enterprise IAM systems., • Build and lead high‑performing global teams across data science, engineering, and automation., • Foster a culture of innovation, continuous learning, and responsible experimentation., • Proven experience integrating Python‑based AI with enterprise .NET ecosystems., • Deep expertise across multi‑cloud environments, data governance, and enterprise‑grade DevSecOps., • Demonstrated success delivering large‑scale transformation programs with measurable ROI., • Strong executive presence with exceptional communication and stakeholder management skills.