Executive AI Lead

Job Description Join Madiff as our Executive AI Lead and take a leading role in shaping the future of AI for the world’s most recognisable brands. In this position, you will be the trusted advisor and solution owner for enterprise clients in banking, pharma, FMCG, and other key industries, as well as some of the most exciting, well-funded startups across Europe and North America. You will architect, deliver, and scale real AI solutions that make direct business impact, all while working with the latest technologies and ambitious teams on projects that are genuinely transformative. This is an opportunity to set new standards for what is possible in enterprise AI – with the freedom and resources to operate at the highest level. ​ Key Responsibilities: Act as lead consultant and solution architect for major clients in banking, financial services, pharma, FMCG, and high-growth startups. Own the full AI/ML delivery cycle: design, development, integration, and scalable deployment into complex customer environments. Advise executive stakeholders and translate business needs into robust AI-driven architectures. Collaborate directly with C-level leaders, technical teams, and decision makers to define, prioritise, and implement AI roadmaps. Guide and mentor internal engineering teams, ensuring technical excellence and best practice across all AI/ML projects. Oversee all aspects of AI project delivery, including model lifecycle management, infrastructure, automation, and ongoing optimisation. Guarantee the security, compliance, and reliability of all AI implementations for enterprise clients. ​ Requirements Proven mastery of Python for AI/ML; working knowledge of R, Java, or Julia is an advantage. Expertise in modern AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn. NLP tools: experience with Hugging Face Transformers, spaCy, or NLTK. Strong skills in Pandas, NumPy, Matplotlib/Seaborn for data manipulation and visualisation. Model deployment expertise: ONNX, TensorFlow Serving, or similar. Solid data engineering background: SQL/NoSQL databases, ETL pipelines (Airflow, Prefect, Luigi). Big Data: Spark, Hadoop, or Dask. Cloud storage: AWS S3, Google Cloud Storage, or Azure Blob Storage. Cloud platforms: AWS, GCP, or Azure, including AI services (SageMaker, Vertex AI, Azure ML). DevOps: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI/CD, Terraform, CloudFormation. Integration: RESTful APIs, GraphQL, integration platforms (Zapier, Workato), webhooks. MLOps: DVC, MLflow, Kubeflow, TFX, Prometheus, Grafana, Seldon Core. Security/compliance: GDPR, CCPA, encryption, secure API design, OAuth 2.0, logging, and auditability. Benefits The opportunity to deliver AI transformation for global enterprise clients and innovative, high-growth startups. Direct impact on flagship projects across banking, pharma, FMCG, and new economy sectors. Full flexibility (remote or hybrid). Competitive compensation, strategic influence, and access to a network of top international brands. The chance to build the benchmark for AI delivery in Europe and North America.