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Norsk Hydro

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

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading the development and implementation of AI and cloud-native solutions, with a strong focus on Generative AI technologies, software engineering best practices, and secure application integration. Proven ability to mentor teams and drive engineering delivery in Agile environments while ensuring quality and operational readiness.

Highest-signal resume keywords
AI ImplementationGenerative AI TechnologiesCloud-Native SolutionsSoftware Engineering Best PracticesTechnical Leadership

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingAPI DevelopmentCloud-Native DevelopmentMLOps/LLMOpsData EngineeringCI/CDTestingSecurityObservabilityAgile Methodologies
Soft Skills
Analytical SkillsCommunication SkillsCollaboration SkillsMentoring SkillsPassion for Innovation
Tools & Technologies
Azure AI ServicesGitAI-Assisted Development ToolsVector SearchPrompt Engineering
Industry Keywords
AI-Powered ApplicationsAutomationOperational ReadinessIntegrationPerformance Optimization

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