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- Tasks: Lead AI strategy and execution, driving innovation across business domains.
- 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 industry leaders.
- Qualifications: Expertise in Python, .NET, and cloud technologies 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 using various platforms with continuous integration pipelines.
- Oversee monitoring and observability using relevant tools.
- 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 through various systems.
- 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 Belfast 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 Belfast
✨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 practising common questions and scenarios related to AI and automation. Think about how you’d tackle challenges in the role and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Director of AI Engineering in Tech Catalyst UK in Belfast
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 how you can contribute to our strategic vision. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Leadership Skills: As a director, we’re looking for someone who can lead teams and drive innovation. In your application, share examples of how you've successfully led projects or teams in the past, especially in AI and automation contexts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
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 articulate your vision for AI and Intelligent Automation. Think about how you would align AI strategies with business objectives and digital transformation goals. This role is all about strategic leadership, so demonstrating your ability to think big will set you apart.
✨Demonstrate Leadership Skills
Be ready to share examples of how you've built and led high-performing teams in the past. Highlight your experience in fostering a culture of innovation and continuous learning. The interviewers will want to see that you can inspire and manage diverse teams effectively.
✨Understand Compliance and Ethics
Familiarise yourself with AI ethics, model transparency, and compliance standards like NIST AI RMF and the EU AI Act. Be prepared to discuss how you would implement responsible AI practices within the organisation. This knowledge will show that you take ethical considerations seriously.
