Lead AI Engineer

Stack

Responsibilities

• ▹Leading implementation of AI, GenAI, ML, automation, and AI-powered applications
• ▹Translating solution designs and requirements into development plans and working software
• ▹Driving engineering delivery aligned with the target architecture
• ▹Guiding development teams on coding, integrations, testing, and operational readiness
• ▹Building GenAI and agentic solutions using RAG, embeddings, vector search, prompt engineering, tool calling, and workflow orchestration
• ▹Implementing AI safety, quality controls, testing, and evaluation frameworks
• ▹Designing and developing APIs, backend services, integrations, cloud-native components, and supporting front-end functionality
• ▹Leading code quality, reviews, CI/CD, documentation, and engineering best practices
• ▹Supporting deployments, monitoring, troubleshooting, performance optimization, and operational handover
• ▹Developing secure integrations with enterprise systems, data platforms, and business applications
• ▹Building cloud-native AI solutions, preferably on Azure AI services and platform components
• ▹Using AI-assisted development tools responsibly, ensuring human validation of outputs
• ▹Mentoring engineers, coordinating technical delivery, and communicating 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 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

Nice to have

• ▹Computer Vision experience is a strong plus

Soft skills

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
• ▹Freedom to be creative and to learn from experts
• ▹Possibility to grow with the company, gain new certificates
• ▹Attractive benefit package

About the company

Hydro Global Business Services (GBS) is an internal service provider for the Hydro group, delivering IT, financial and HR business services to all business areas within the company.