Lead AI Engineer

Tasks

Role purpose
Lead AI Engineer responsible for taking AI and Generative AI solution designs from architecture into working, production-ready software. The role leads technical implementation, guides developers, makes day-to-day engineering decisions, ensures code quality, and drives development from backlog refinement through deployment, monitoring, and support handover.
The role requires strong hands-on engineering skills, practical experience with Generative AI, RAG, agentic workflows, AI-assisted business applications, cloud-native development, APIs, integrations, CI/CD, testing, observability, and production operations. Computer Vision experience is a strong plus.
The Lead AI Engineer works closely with the AI Solution Architect, product owners, business stakeholders, developers, data engineers, cloud/security teams, and operations teams to ensure solutions are implemented correctly, maintainably, securely, and in line with agreed engineering standards.

What you will be doing

• Lead implementation of AI, GenAI, ML, automation, and AI-powered applications.
• Translate solution designs and requirements into development plans and working software.
• Drive engineering delivery aligned with the target architecture.
• Guide development teams on coding, integrations, testing, and operational readiness.
• Build GenAI and agentic solutions using RAG, embeddings, vector search, prompt engineering, tool calling, and workflow orchestration.
• Implement AI safety, quality controls, testing, and evaluation frameworks.
• Design and develop APIs, backend services, integrations, cloud-native components, and supporting front-end functionality.
• Lead code quality, reviews, CI/CD, documentation, and engineering best practices.
• Support deployments, monitoring, troubleshooting, performance optimization, and operational handover.
• Develop secure integrations with enterprise systems, data platforms, and business applications.
• Build cloud-native AI solutions, preferably on Azure AI services and platform components.
• Use AI-assisted development tools responsibly, ensuring human validation of outputs.
• Mentor engineers, coordinate technical delivery, and communicate progress, risks, and decisions to stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field (or equivalent experience).
• 7+ years of experience in software engineering, AI, cloud, data engineering, or related technical domains, including 3+ years in a technical leadership role.
• Strong programming frontend and backend development skills, preferably in Python, with experience building APIs and scalable applications.
• Hands-on experience with Generative AI technologies, including LLMs, RAG, prompt engineering, vector search, and AI-powered workflows.
• Experience developing and deploying cloud-native solutions, preferably on Microsoft Azure and Azure AI services.
• Solid understanding of software engineering best practices, including testing, CI/CD, Git, observability, security, and production support.
• Knowledge of MLOps/LLMOps, data engineering fundamentals, and secure application integration.
• Proven ability to deliver secure, scalable, production-ready solutions in Agile, cross-functional environments.
• Strong analytical, communication, collaboration, and mentoring skills.
• Passion for innovation and emerging AI technologies.
• Fluent English.

What we offer

• Working at the world’s only fully integrated aluminum and leading renewable energy company
• Diverse, global teams
• Flexible work environment/home office
• We provide you the freedom to be creative and to learn from experts
• Possibility to grow with the company, gain new certificates
• Attractive benefit package