AI Engineering Lead
Coca-Cola Europacific PartnersNorway5 hours ago
Full-timeInformation Technology
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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:
Apply now to join a team that’s transforming data into action across one of the world’s most iconic brands.
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.
- 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.
- 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.
- Access to cutting-edge AI tools and infrastructure.
- Opportunities to shape the future of AI in a fast-growing organisation.
Apply now to join a team that’s transforming data into action across one of the world’s most iconic brands.
Key Skills
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