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Senior AI Architect (w/m/x)
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Podsumowanie oferty

(Podsumowanie wygenerowane przez AI na bazie pełnej treści ogłoszenia rekrutacyjnego)

Projekt koncentruje się na innowacjach w lotnictwie z naciskiem na bezpieczeństwo i rozwój zaawansowanych rozwiązań AI i generatywnej AI. Kluczowe technologie to LLM, RAG, agentic systems, multimodal AI, Azure, AWS, GCP. Odpowiedzialność obejmuje projektowanie architektury AI, prowadzenie zespołów, wdrażanie rozwiązań AI na produkcję oraz zapewnienie zgodności z wymaganiami bezpieczeństwa i governance. Oferowane benefity to elastyczny czas pracy, prywatna opieka medyczna, dofinansowanie szkoleń i sportu.

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Senior AI Architect (w/m/x)

Firma: GE Aerospace Poland sp. z o.o.

od: 24 sierpnia 2026
do: 23 września 2026
brak widełekumowa o pracę (pełny etat)
Parametry oferty
poziom:senior
tryb pracy: hybrydowa
Warszawa, Włochy
Warszawa, WłochyAleja Krakowska 110Pokaż na mapie

Wymagania

Technologie wymagane

AWS
Microsoft Azure
Google Cloud Platform
Miro

Technologie mile widziane

Azure DevOps
AWS
Google Cloud Platform
Docker

Nasze wymagania

  • Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related field.
  • Proven experience designing and delivering AI solutions in production environments at scale.
  • Experience working across multiple phases of the AI lifecycle, from ideation to production deployment.
  • Generative AI
  • LLM application architecture
  • Agentic workflows / multi-agent systems
  • Prompt design and LLM orchestration
  • Experience with cloud-based AI/ML ecosystems such as Azure, AWS, or GCP.
  • Experience with data pipelines, API-based integrations, and production-grade AI systems.
  • Understanding of solution architecture principles, including scalability, resilience, modularity, and security.

Twój zakres obowiązków

AI Architecture and Solution Design
  • Define end-to-end architecture for AI and GenAI solutions, including classical ML, NLP, multimodal AI, and agentic systems.
  • Design scalable and secure architectures for:
  • LLM-based applications
  • Retrieval-Augmented Generation (RAG)
  • Agentic and multi-agent systems
  • Multimodal solutions such as image-to-text, video understanding, and speech-to-text
  • Translate business requirements into technical solution designs, architectural blueprints, and implementation roadmaps.
  • Ensure AI solutions are aligned with enterprise architecture, cybersecurity, data governance, and compliance requirements.
    • Delivery Leadership
  • Lead AI solution development across the full lifecycle: discovery, requirements gathering, experimentation, prototyping, testing, deployment, and production support.
  • Partner with cross-functional teams to industrialize AI use cases and transition prototypes into scalable enterprise products.
  • Drive best practices in AI engineering, reusable components, and platform-based delivery.
  • Support project planning, estimation, prioritization, and technical risk management.
    • Technical Leadership
  • Provide technical leadership to multidisciplinary teams including data scientists, ML engineers, data engineers, analysts, and software developers.
  • Mentor team members and help grow organizational capability in AI architecture, GenAI, MLOps, and responsible AI.
  • Review solution designs, code, model approaches, and deployment strategies to ensure quality and maintainability.
  • Contribute to technical standards, architecture governance, and design reviews.
    • Stakeholder Engagement
  • Engage with business and functional leaders to identify AI opportunities and define high-value use cases.
  • Present technical concepts and solution proposals to senior stakeholders in a clear and business-relevant way.
  • Support pre-sales, RFI/RFP responses, capability presentations, and client/internal leadership discussions where applicable.
  • Act as a trusted advisor on AI strategy, feasibility, scalability, and adoption.
    • Operational Excellence and Responsible AI
  • Define and promote best practices for model deployment, monitoring, MLOps, observability, versioning, and lifecycle management.
  • Ensure AI solutions are reliable, explainable where needed, and governed appropriately.
  • Promote secure, sustainable, and responsible use of AI technologies across the organization.
  • Stay current with emerging AI technologies and evaluate their relevance to business needs.
    • Company

    O projekcie

    At GE Aerospace we believe that the world works better when it's moving. Together we are creating a future of aviation where human safety is of the greatest importance.
    In our company we have been offering a flexible working model for many years now as to give our employees the possibility to adjust working hours to suit their individual needs. Our employees easily combine their professional and private responsibilities and have time to pursue their passions. No matter what stage of your career you are at, you can count on the support and mentorship of the best experts in the industry.
    On GE Aerospace Warsaw campus, we design aircraft engines and develop advanced technologies such as cooling methods for engine components as well as create statistical models and software applications for aviation. We develop all solutions in diverse teams, in which the best experts eagerly share their knowledge. At GE Aerospace we work together to achieve success. What is more, a career at GE Aerospace is not only an opportunity to work in an international environment, but also a chance to gain experience while visiting laboratories, factories and repair shops around the world.
    At GE Aerospace we give our employees space for comprehensive development by supporting a variety of employee initiatives and interest groups, including GE Women's Network, PRIDE Alliance, HealthAhead, Early Careers Network and GE Aerospace Volunteers. Our flexible working model is based on the concept of work-life balance, because at GE Aerospace we believe that people come first in our organization.
    We are seeking an experienced AI Architect to lead the design, development, and industrialization of advanced AI solutions across the organization. This role is intended for a senior professional with deep expertise in machine learning, generative AI, solution architecture, and MLOps, combined with the ability to translate business needs into scalable, secure, and high-impact AI products.
    The ideal candidate brings strong hands-on and strategic experience across the full AI lifecycle: from opportunity shaping and architecture design to experimentation, deployment, and continuous improvement. This person will work closely with business stakeholders, product teams, data scientists, engineers, and leadership to define and deliver AI capabilities that create measurable business value.
    This role requires both technical depth and architectural leadership, including the ability to guide teams, define standards, influence direction, and ensure solutions are robust, responsible, and production-ready.

    To oferujemy

    • Flexible work schedule and hybrid work model adjusted to your needs
    • Fascinating job in dynamically growing aerospace industry
    • Competitive salary, annual bonus, copyright costs tax reduction
    • Diverse career opportunities globally
    • Environment of continuous learning and improvement
    • Onboarding support to make your start easier, mentoring support through your career
    • Benefits fit to all lifestyles
    • Wide variety of employee initiatives

    Benefity

    • dofinansowanie zajęć sportowych
    • prywatna opieka medyczna
    • dofinansowanie szkoleń i kursów
    • ubezpieczenie na życie
    • elastyczny czas pracy
    • zniżki na firmowe produkty i usługi
    • opieka stomatologiczna

    GE Aerospace Poland sp. z o.o.

    At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.

    Tak się u nas pracuje

    Senior AI Architect (w/m/x)
    Zgłaszam się do:
    GE Aerospace Poland sp. z o.o.
    Warszawa, Włochy
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