BEING YOU IS ALL IT TAKES.
MAKE MAGIC HAPPEN.

AI Engineering Lead:

Role Overview:

We are seeking an experienced and visionary AI Engineering Lead to drive the development and deployment of AI-powered systems and platforms. This role blends deep technical expertise in AI/ML with leadership and strategic delivery capabilities. You will lead a team of AI engineers and collaborate with data scientists, product managers, and business stakeholders to build scalable, production-grade AI solutions that deliver measurable business impact.

Key Responsibilities:

• Leadership & Strategy
  • Lead and grow a high-performing AI engineering team.
  • Define AI engineering strategy, architecture, and roadmap aligned with business goals.
  • Champion best practices in MLOps, model governance, and responsible AI.
• Engineering & Delivery
  • Design and implement scalable AI systems including model training, deployment, monitoring, and lifecycle management.
  • Translate prototypes into robust, production-ready solutions in collaboration with data scientists.
  • Maintain high standards of code quality, testing, and documentation.
• Platform & Infrastructure
  • Build and maintain AI/ML platforms and tooling to accelerate experimentation and deployment.
  • Oversee and evolve Azure Foundry / Databricks-based AI environments.
  • Integrate AI capabilities into products via APIs, microservices, or embedded intelligence.
  • Drive automation, observability, and performance optimization across AI pipelines.
• Collaboration & Communication
  • Work cross-functionally to identify and prioritize AI opportunities.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Stay current with emerging AI technologies and assess their business applicability.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years in software engineering, with 3+ years in AI/ML engineering.
• Proven leadership experience in delivering AI solutions at scale.
• Strong Python skills and experience with frameworks like TensorFlow, PyTorch, Hugging Face.
• Expertise in MLOps, CI/CD for ML, and cloud-native AI architectures (Azure, AWS, GCP).
• Experience with Docker, Kubernetes, and ML workflow orchestration.
• Familiarity with agentic frameworks (e.g., LangGraph, Microsoft Semantic Kernel).
• Experience with API management and microservices architecture.

Preferred Qualifications:

• Experience with LLMs, generative AI, or reinforcement learning.
• Knowledge of vector databases, RAG, and prompt engineering.
• Understanding of data privacy, model explainability, and ethical AI.
• Familiarity with communication protocols like MCP and Google’s A2A.
• Experience with frontend frameworks (React, TypeScript).
• Contributions to open-source AI projects or published research.

What We Offer:

• Access to cutting-edge AI tools and infrastructure.
• Opportunities to shape the future of AI in a fast-growing organisation.

Ready to make an impact?
Apply now to join a team that’s transforming data into action across one of the world’s most iconic brands.