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AI Director
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-03-03
Listing for:
Top End jobs
Full Time
position Listed on 2026-03-03
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing
Job Description & How to Apply Below
- 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).
- Serve as the senior executive sponsor for AI architecture, operating model design, and enterprise adoption roadmap.
- 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, Tensor Flow, Hugging Face, ONNX Runtime, and Lang Chain, along with orchestration tools including Semantic Kernel, Lang Graph, 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.
- Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms.
- Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and Big Query.
- 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.
- Ensure high‑quality, compliant, and reliable data foundations for ML and analytics workloads.
- 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, Sage Maker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (Git Hub Actions, Azure Dev Ops, Jenkins, Argo CD).
- Oversee observability and monitoring using Prometheus, Grafana, ELK/EFK, and Open Telemetry.
- 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).
- Implement secure Dev Sec Ops practices—Sonar Qube, Checkmarx, Vault, Azure API Management—in line with enterprise compliance standards.
- 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.
- Lead enterprise process mining using Celonis, Power BI Process Mining, and Process Gold.
- Oversee integration of analytics and AI capabilities to deliver measurable business impact.
- Advance analytics maturity using Power BI, Looker, and Azure Analysis Services.
- Promote predictive and optimisation modelling using PyCaret, Prophet, and Optuna to strengthen data‑driven decision‑making.
- Ensure alignment with enterprise security frameworks (SOC2, ISO
27001, NIST). - Oversee identity and access management via Azure AD, OAuth2, OpenID Connect, and enterprise IAM systems.
- Champion ethical AI practices, including bias detection, explainability, and responsible use frameworks such as the Azure Responsible AI Dashboard.
- Build and lead high‑performing global teams across data science, engineering, and automation.
- Foster a culture of innovation, continuous learning, and responsible experimentation.
- Engage with the broader AI ecosystem—including academia, hyperscalers, and startups—to identify emerging technologies and partnership opportunities.
- Proven experience integrating Python‑based AI with enterprise .NET ecosystems.
- Deep expertise across multi‑cloud environments, data governance, and enterprise‑grade Dev Sec Ops .
- Demonstrated success delivering large‑scale transformation programs with measurable ROI.
- Strong executive presence with exceptional communication and stakeholder management skills.
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