AI Delivery Lead

Hitachi

. Own the end-to-end delivery of AI solutions in the ideate2scale process through stabilization (MVP) until operational handover .

Posted 4/25/2026full-timeZurich • 🇨🇭 SwitzerlandSeniorWebsite

About the role

Key responsibilities & impact

Own the end-to-end delivery of AI solutions in the ideate2scale process through stabilization (MVP) until operational handover
Define, manage, and enforce the transition process, including clear handover criteria and run-readiness gates (setting the basis for continued Dev/Ops)
Ensure solutions reach the required level of robustness, reliability, maintainability, and operational stability before transfer
Drive the implementation of monitoring, testing, documentation, support processes, and other prerequisites for productive operation
Ensure delivered AI solutions meet defined standards for performance, scalability, security, and compliance
Lead the early-life support phase after deployment and ensure controlled stabilization before handover
Coordinate business, product, data science, engineering, and run stakeholders to ensure smooth and aligned delivery
Prepare the run organization through documentation, training, knowledge transfer, and early involvement during the build phase with clear involvement and commitment of the run organization
Identify delivery risks, technical weaknesses, and operational gaps early and resolve them proactively
Capture lessons learned from delivery and handover processes and translate them into better standards, methods, and templates

Requirements

What you’ll need

Master's degree in Computer Science, Data Science, Business Informatics, Software Engineering, Artificial Intelligence or a related technical/digital field
Commitment to ongoing education through workshops, conferences, and courses to stay updated with the latest AI advancements
Extensive 10+ years of experience in roles related to AI/digital solution delivery, software engineering, or technology program management in a complex organizational environment
AI solution delivery experience: Proven track record in delivering AI, data, or automation/digital solutions from development into stable production environments
Transformation experience: Experience in building or operating within AI, digital, or product-centric transformation environments is a strong advantage
Strong understanding of AI solution architecture, software engineering, data pipelines, testing, deployment, and productive support requirements
Strong understanding of what is required to transition solutions from innovation-driven development into reliable operations
Ability to think beyond prototyping and focus on stability, maintainability, scalability, and long-term supportability
Strong skills in planning, structuring, prioritizing, and driving execution in dynamic and fast-moving delivery settings
Strong focus on ensuring delivery quality, risk control, and adherence to operational and governance standards
Ability to identify root causes, resolve delivery bottlenecks, and make pragmatic decisions under pressure
Ability to align cross-functional stakeholders across business, product, engineering, and operations in complex environments
Clear and structured communication skills to manage expectations, escalate issues, and ensure alignment across teams; experience in leading technical team (esp. in dev/ops)

Benefits

Comp & perks

Contract of employment
We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development.
Possibility to gain experience in international environment
Possibility to work for industry leader in green energy solution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsdata pipelinessoftware engineeringtestingdeploymentmonitoringdocumentationautomationDev/Opstransformation

Soft Skills

planningstructuringprioritizingexecutionrisk controlproblem-solvingcommunicationstakeholder alignmentleadershipadaptability

Certifications

Master's degree in Computer ScienceMaster's degree in Data ScienceMaster's degree in Business InformaticsMaster's degree in Software EngineeringMaster's degree in Artificial Intelligence