Lead AI Engineer - Digital Service Solutions

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SeniorHybryda·KrakówFull-time

#452781·Dodano 26 dni temu·3

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIML IoTCloud platformMicroservicesMLOpsCommunication skills

Firma i stanowisko

Business Unit Service delivers advanced digital and outcome-based service solutions worldwide, focusing on next-generation digital service solutions leveraging IoT, cloud platforms, data, and AI for energy and industrial domains.

Wymagania

University degree (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, or related technical field
Proven experience designing, implementing, or governing applied AI/ML solutions in industrial, IoT, or service-oriented environments
Strong understanding of end-to-end AI pipelines including data preparation, model development, deployment, and monitoring
Experience integrating AI into enterprise-scale digital solutions using cloud platforms, microservices, and MLOps practices
Ability to translate AI techniques into operationally relevant outcomes aligned with service and domain needs
Experience working in cross-functional environments across R&D, engineering, service, and digital organizations
Strong communication skills and ability to influence architecture and solution decisions across stakeholders
Experience with LLM-based systems, agentic AI, or advanced analytics platforms is an advantage
Familiarity with AI governance, ethics, compliance, and regulated industrial environments is meriting

Obowiązki

Define and own the AI R&D capability strategy and architecture for digital service solutions, including applied machine learning, advanced analytics, and LLM-based and agentic AI systems
Establish architectural principles and standards aligned with cloud-native delivery, industrial scalability, and long-lifecycle service solutions
Translate service and domain needs into AI models, use cases, and solution-level designs embedded in workflows and decision processes
Design and govern AI model lifecycles including problem framing, validation, deployment, monitoring, and controlled evolution
Ensure AI outputs are actionable, interpretable, and aligned with operational and business objectives
Lead design and governance of agentic AI workflows combining reasoning, orchestration, and automation across service operations
Collaborate with data platform, digital platform, and IT teams to support AI solutions with scalable data pipelines, feature management, and analytics services
Establish principles and controls for AI quality, explainability, bias mitigation, and ethical use complying with regulatory and industrial requirements
Contribute to AI portfolio alignment, reuse, and standardization across solutions to reduce fragmentation and accelerate value
Act as technical authority and trusted advisor supporting architecture decisions and capability development across Service R&D

Benefity

Private medical care
Life insurance
Access to fitness and wellness programs
Access to benefits platform with discounts and perks
Employee Capital Plans (PPK)
Equipment or allowances for working from home
Spectacles and contact lenses allowance
Company events and team-building activities
Psychological support program
Free parking

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Płatny urlop

Płatne święta

Pakiet relokacyjny

Premie

Telefon

Firmowa stołówka

Napoje w biurze

Darmowe przekąski

Hitachi Energy

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