Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Overview
TekWissen 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.
Job Title: AI Director
Location: London, UK
WorkType: Full Time
Job Description
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 Python,.NET, 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
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 Python,.NET, and 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Platform & Engineering Excellence
- 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.
Cloud, Infrastructure & MLOps
- 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.
Enterprise Integration with.NET
- Guide integration of AI/ML workflows into enterprise-grade.NET 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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
Leadership, Talent & Innovation
- 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 with.NET 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location