Director of AI Engineering in Tech Catalyst UK

Pwc UK -
London

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Job details

Full-time

Qualifications

TensorFlow
Power BI
Cloud infrastructure
Azure
Cloud architecture
Kubernetes
PyTorch
.NET Core
Google Cloud Platform
.NET
AWS
Docker
Machine learning
NIST standards
Terraform
REST
GitHub
APIs
Apache
Kafka
gRPC
Jenkins
Communication skills
Python

Full job description

About the role

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.

What you'll do:

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 – but not exhaustive or limited by

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.

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 Ecosystems

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.

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.

This role is for you if you have:

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.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

Apply Now

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