Lead AI Engineer

Norsk Hydro

Lead AI Engineer developing production-ready AI and automation applications for Hydro's global operations. Collaborate on technical delivery and guide engineering best practices in a diverse environment.

Posted 7/9/2026full-timeSzékesfehérvár • 🇭🇺 HungarySeniorWebsite

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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 learn from experts
Possibility to grow with the company and gain new certificates
Attractive benefit package

ATS Keywords

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Hard Skills & Tools

Python ProgrammingAPI DevelopmentCloud-Native DevelopmentMLOps/LLMOpsData EngineeringCI/CDTestingSecurityObservabilityAgile Methodologies

Soft Skills

Analytical SkillsCommunication SkillsCollaboration SkillsMentoring SkillsPassion for Innovation