Senior AI Solutions Architect - Multimodal & Real-Time

EY

Wrocław

Hybrid

PLN 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Continuous learning
Flexible work environment
Diverse and inclusive culture
Transformative leadership

Job summary

EY in Poland is looking for an experienced professional to shape next-generation AI solutions utilizing NVIDIA's advanced tools. The role involves designing scalable AI architectures, optimizing complex agentic systems, and implementing performance improvements.

The ideal candidate will have at least 8 years of relevant experience, including expertise in Python, C++, and deploying AI systems in cloud environments. Opportunities for both remote and office-based work are available.

Qualifications

  • 8+ years of experience in infrastructure and software engineering, including 2–3 years with NVIDIA technologies.
  • Hands-on expertise with NVIDIA NIM, NeMo Agent Core, NeMo Guardrails, NeMo Retriever, TensorRT.
  • Experience designing multi-agent architectures, agent orchestration patterns and advanced RAG solutions using vector databases.
  • Strong Python, C++, Linux, PyTorch and OpenCV skills, including modern CV models such as YOLO, SAM or VLMs.
  • Experience with Kubernetes, Docker, NVIDIA GPU Operator, KServe, cloud platforms and GPU environments such as DGX or InfiniBand.
  • Willingness to travel occasionally.

Responsibilities

  • Design and implement end-to-end AI architectures leveraging NVIDIA NIM, NeMo, DeepStream, and TensorRT.
  • Build multi-agent systems and optimize inference performance.
  • Define GPU infrastructure and collaborate cross-functionally.

Job description

EY in Poland is looking for an experienced professional to shape next-generation AI solutions utilizing NVIDIA's advanced tools. The role involves designing scalable AI architectures, optimizing complex agentic systems, and implementing performance improvements.

The ideal candidate will have at least 8 years of relevant experience, including expertise in Python, C++, and deploying AI systems in cloud environments. Opportunities for both remote and office-based work are available.

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