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- Tasks: Lead AI strategy and execution across business domains, driving innovation and transformation.
- Company: Join a leading tech firm focused on AI and intelligent automation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on enterprise operations and culture.
- Why this job: Shape the future of AI while collaborating with top industry leaders.
- Qualifications: Expertise in Python, .NET, and cloud technologies required.
The predicted salary is between 100000 - 150000 £ per year.
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.
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.
- 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.
- Data Platform & Engineering Excellence: Lead the evolution of the enterprise data estate, leveraging modern data platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. 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. Lead enterprise MLOps initiatives using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow.
- Enterprise Integration with .NET Ecosystems: Guide integration of AI/ML workflows into enterprise-grade .NET Core applications and service-oriented architectures. Implement secure and compliant DevSecOps practices 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 to augment digital workflows.
- Analytics, BI, and Decision Intelligence: Oversee the integration of analytics and AI to deliver measurable business outcomes. Foster data-driven decisioning through predictive and optimization models.
- Security, Compliance & Responsible AI: Ensure alignment with enterprise security standards and frameworks. Champion ethical AI, bias detection, and explainability.
- Leadership, Talent & Innovation: Build and lead high-performing global teams in data science, engineering, and automation disciplines. Engage with the external AI ecosystem 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. Strong executive presence, communication, and client/stakeholder management skills.
Director of AI Engineering in Tech Catalyst UK in London employer: PricewaterhouseCoopers
Contact Detail:
PricewaterhouseCoopers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI Engineering in Tech Catalyst UK in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and tech. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, .NET, or cloud-native architectures. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've driven innovation and transformation in previous roles. Practice common interview questions and think about how you can demonstrate your strategic vision.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role you're interested in.
We think you need these skills to ace Director of AI Engineering in Tech Catalyst UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Director of AI Engineering. Highlight your experience with Python, .NET, and cloud-native architectures, as well as any leadership roles you've held in AI and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your strategic vision aligns with our goals at StudySmarter. Don't forget to mention any relevant projects or achievements!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of how you've implemented AI solutions, managed data platforms, or led MLOps initiatives. The more detail, the better!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at PricewaterhouseCoopers
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, .NET, and cloud-native architectures. Brush up on the latest frameworks like PyTorch and TensorFlow, as well as MLOps pipelines. Being able to discuss these technologies confidently will show that you’re not just familiar with them, but that you can lead teams effectively.
✨Showcase Your Strategic Vision
Prepare to articulate your vision for AI and Intelligent Automation within an enterprise context. Think about how you would align AI strategies with digital transformation goals. Be ready to discuss governance frameworks and ethical considerations, as this role requires a strong focus on responsible AI practices.
✨Demonstrate Leadership Skills
This position is all about leading high-performing teams. Prepare examples of how you’ve built and managed teams in the past, especially in data science and engineering. Highlight your experience in fostering a culture of innovation and continuous learning, as this will resonate well with the interviewers.
✨Engage with Real-World Scenarios
Be ready to tackle hypothetical scenarios related to AI integration and automation. Think through challenges you might face when implementing AI solutions in enterprise systems and how you would overcome them. This will demonstrate your problem-solving skills and ability to think critically under pressure.