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- Tasks: Lead AI strategy and execution across business domains, driving innovation and transformation.
- Company: Tech Catalyst UK, a leader in AI and Intelligent Automation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of AI while collaborating with top tech leaders and global teams.
- Qualifications: Expertise in Python, .NET, and cloud architectures; strong leadership skills required.
- Other info: Join a dynamic team focused on innovation and responsible AI practices.
The predicted salary is between 72000 - 108000 £ 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.
- 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.
- Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral.
- Implement retrieval-augmented generation (RAG) architectures and manage vector databases to support enterprise knowledge intelligence systems.
- Data Platform & Engineering Excellence
- Lead the evolution of the enterprise data estate, leveraging modern data platforms.
- Oversee data engineering ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards.
- 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, and Terraform/Bicep.
- Lead enterprise MLOps initiatives with continuous integration pipelines.
- Oversee monitoring and observability.
- Enterprise Integration with .NET Ecosystems
- Guide integration of AI/ML workflows into enterprise-grade .NET Core applications.
- Modernize legacy systems through microservices and message-driven solutions.
- Implement secure and compliant DevSecOps practices aligned to enterprise standards.
- Intelligent Automation & Cognitive Services
- Drive end-to-end intelligent automation using various tools.
- Integrate cognitive services to augment digital workflows.
- Lead enterprise process mining and optimization initiatives.
- Analytics, BI, and Decision Intelligence
- Oversee the integration of analytics and AI to deliver measurable business outcomes.
- Advance enterprise analytics using various platforms.
- Foster data-driven decisioning through predictive and optimization models.
- Security, Compliance & Responsible AI
- Ensure alignment with enterprise security standards and frameworks.
- Oversee identity and access management.
- Champion ethical AI, bias detection, and explainability.
- 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 to identify strategic partnerships and emerging opportunities.
- 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.
Director of AI Engineering in Tech Catalyst UK in Bristol employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI Engineering in Tech Catalyst UK in Bristol
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, .NET, or AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by researching the company and its AI initiatives. Tailor your responses to highlight how your experience aligns with their goals, especially around AI and automation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Director of AI Engineering in Tech Catalyst UK in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Director of AI Engineering role. Highlight your experience with Python, .NET, and cloud-native architectures, as well as any leadership roles you've held. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and intelligent automation. Share specific examples of how you've driven innovation in previous roles, and don't forget to mention your strategic vision.
Showcase Your Technical Expertise: In your application, be sure to showcase your technical expertise in AI frameworks like PyTorch and TensorFlow. We love seeing candidates who can demonstrate their hands-on experience with MLOps and cloud platforms, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at PwC UK
✨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 tools. Being able to discuss your technical expertise confidently will show that you’re ready to lead AI initiatives.
✨Showcase Your Strategic Vision
Prepare to discuss how you would define and execute an AI strategy that aligns with business goals. Think about examples from your past where you’ve successfully implemented AI solutions or transformed operations. This will demonstrate your strategic leadership capabilities.
✨Understand Governance and Compliance
Familiarise yourself with AI ethics and compliance standards like NIST AI RMF and the EU AI Act. Be ready to talk about how you would establish governance frameworks for responsible AI. This knowledge will highlight your commitment to ethical practices in AI.
✨Engage with Real-World Scenarios
Prepare for scenario-based questions where you might need to solve a problem or make a decision regarding AI integration. Think through how you would approach challenges in deploying AI solutions across various business domains, showcasing your practical experience and decision-making skills.
