AI Director in London

TekWissen is a global workforce management provider throughout the UK, Europe and many other countries in the world. The 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.

Location: London, UK

Work Type: Full Time

Role 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 cloud-native architectures to deliver scalable, secure and value-generating intelligent systems leveraging the latest 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.

Responsibilities

• Strategic Vision & Governance: 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: Oversee the design and deployment of enterprise-grade AI solutions using cloud-based MLOps pipelines. Direct teams leveraging advanced frameworks including PyTorch, TensorFlow, Hugging Face, ONNX Runtime and LangChain, integrating orchestration tools like Semantic Kernel, LangGraph 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 BigQuery. 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, SageMaker, Vertex AI, MLflow and Kubeflow with continuous integration pipelines (GitHub Actions, Azure DevOps, Jenkins, Argo CD). Oversee monitoring and observability using Prometheus, Grafana, ELK/EFK and OpenTelemetry.
• 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 DevSecOps practices (SonarQube, 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 ProcessGold.
• Analytics, BI and Decision Intelligence: 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, ISO27001, 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 high-performing global teams in data science, engineering and automation disciplines. Cultivate a culture of innovation, continuous learning and responsible experimentation. Engage with the external AI ecosystem, academic institutions, hyperscalers and startups to identify strategic partnerships and emerging opportunities.

Preferred Background

• Proven record integrating Python-based AI enterprise systems.
• Deep expertise across multi-cloud environments, data governance and enterprise DevSecOps.
• Demonstrated ability to deliver large-scale transformation programs and measurable ROI.
• Strong executive presence, communication and client/stakeholder management skills.

TekWissen Group is an equal opportunity employer supporting workforce diversity.