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AI Director
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-13
Listing for:
Tekwissen UK
Full Time
position Listed on 2026-01-13
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Data Engineer
Job Description & How to Apply Below
Overview
Tek Wissen is a global workforce management provider throughout the UK Europe and many other countries in the world. Client is a leading global professional services network operating in over 150 countries offering assurance consulting and tax advisory services. The firm helps clients address complex business challenges manage risks and drive transformation through technology and innovation. It is recognized for its strong ethical standards industry expertise and commitment to building trust and sustainable growth.
JobTitle
AI Director
LocationLondon UK
Work TypeFull Time
Job DescriptionRole Overview
- The Director for AI & Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence Machine Learning and Automation across business domains.
- This role blends technical excellence strategic leadership and commercial acumen combining deep expertise in and cloud-native architectures to deliver scalable secure and value-generating intelligent systems leveraging the latest in thinking in the future agentic web.
- The MD/D will partner with C-suite executives technology leaders and global delivery teams to embed AI capabilities at scale-accelerating innovation enhancing decision-making and transforming enterprise operations.
- Key Leadership
- Define the global AI & Intelligent Automation strategy ensuring alignment with enterprise digital transformation and innovation objectives.
- Establish governance frameworks for AI ethics model transparency and Responsible AI ensuring compliance with regulatory and risk standards (e.g. NIST AI RMF EU AI Act).
- Serve as the senior executive sponsor for AI architecture operating model and adoption roadmap.
- Enterprise AI & GenAI Ecosystem but not exhaustive or limited by Oversee the design and deployment of enterprise-grade AI solutions using and cloud-based MLOps pipelines.
- Direct teams leveraging advanced frameworks including PyTorch Tensor Flow Hugging Face ONNX Runtime and Lang Chain integrating orchestration tools like Semantic Kernel Lang Graph and CrewAI Drive responsible integration of Large Language Models (LLMs) from OpenAI Anthropic Google Gemini and Mistral including deployment via Azure OpenAI Service or Vertex AI.
- Implement retrieval-augmented generation (RAG) architectures and manage vector databases such as Pinecone Weaviate FAISS and Milvus to support enterprise knowledge intelligence systems.
- Lead the evolution of the enterprise data estate leveraging modern data platforms such as Databricks Snowflake Azure Synapse and Big Query.
- Oversee data engineering using Apache Airflow dbt and Prefect ensuring data pipelines are performant governed and aligned with enterprise metadata standards (Collibra Alation Microsoft Purview).
- Drive the adoption of Delta Lake Iceberg and Hudi for scalable data lakehouse architectures.
- Ensure high-quality compliant data foundations for machine learning and analytics workloads.
- Champion multi-cloud architecture and engineering excellence across Azure AWS and GCP.
- Ensure resilient and cost-effective deployment via Docker Kubernetes (AKS/EKS/GKE) and Terraform/Bicep.
- Lead enterprise MLOps initiatives using Azure ML Sage Maker Vertex AI MLflow and Kubeflow with continuous integration pipelines (Git Hub Actions Azure Dev Ops Jenkins Argo CD).
- Oversee monitoring and observability using Prometheus Grafana ELK/EFK and Open Telemetry.
- Ecosystems Guide integration of AI/ML workflows into Core applications and service-oriented architectures.
- Modernize legacy systems through microservices REST/gRPC APIs and message-driven solutions (Azure Service Bus Kafka).
- Implement secure and compliant Dev Sec Ops practices-Sonar Qube Checkmarx Vault and Azure API Management-aligned to enterprise standards.
- Intelligent Automation & Cognitive Services Drive end-to-end intelligent automation using Power Automate Blue Prism and Automation Anywhere.
- Integrate cognitive services including Azure Cognitive Services AWS Comprehend Form Recognizer and Speech/Translation APIs to augment digital workflows.
- Lead enterprise process mining and optimization initiatives via Celonis Power BI Process Mining and Process Gold.
- Oversee the integration of analytics and AI to deliver measurable business outcomes.
- Advance enterprise analytics using Power BI Looker and Azure Analysis Services.
- Foster data-driven decisioning through predictive and optimization models using PyCaret Prophet and Optuna.
- Security Compliance & Responsible AI Ensure alignment with enterprise security standards and frameworks (SOC2 ISO
27001 NIST). - Oversee identity and access management through Azure AD OAuth2 OpenID Connect and integration with enterprise IAM systems.
- Champion ethical AI bias detection and explainability through Azure Responsible AI Dashboard and equivalent frameworks.
- Build and lead…
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