Solution Engineer (AI & Big Data)
A
AddeptoAI Consulting
Locations: Warszawa, Krucza 50, Kraków, Aleksandra Lubomirskiego 20, Wrocław, Świdnicka 40, Katowice, -, Gdańsk, -, Warszawa, Country code: PLFull-TimeSenior
Salary4876 - 7662 EUR per month b2b currencySource=conversion; 4497 - 7066 CHF per month b2b currencySource=conversion; 4154 - 6528 GBP per month b2b currencySource=conversion; 5571 - 8755 USD per month b2b currencySource=conversion; 21000 - 33000 PLN per month b2b currencySource=original
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Job Details
- Languages
- Excellent English (at least C1 level).
- Required Skills
- PythonArtificial IntelligenceMachine LearningData engineeringData scienceDatabricksLLMGenerative AI
Requirements
- Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field.
- Proven experience in technical roles involving AI/ML products, data platforms, or solution engineering.
- Foundational understanding of public cloud platforms (AWS, Azure, GCP).
- Strong foundational knowledge of AI/ML workflows from preprocessing to deployment.
- Familiarity with LLM-based applications including embeddings, vector databases, and frameworks like LangChain.
- Working knowledge of MLOps and orchestration tools such as MLflow, Airflow, or Kubeflow.
- Proficiency in Python and AI/ML libraries like pandas, scikit-learn, PyTorch, or TensorFlow.
- Understanding of modern data architectures including ETL/ELT, big data processing, and cloud services.
- Strong communication skills with the ability to simplify technical concepts for diverse audiences.
- Excellent English language proficiency (at least C1 level).
Responsibilities
- Serve as a technical advisor during pre-sales and early engagement stages to help clients align AI/ML and cloud data platforms with strategic goals.
- Lead or support technical discovery sessions to clarify business problems and assess feasibility.
- Design and communicate solution architectures, including LLM integrations, RAG, vector databases, and cloud data architectures.
- Create and deliver technical PoCs, PoVs, and prototypes to shape proposals and project delivery.
- Contribute to internal R&D by evaluating emerging AI and data technologies.
- Collaborate across sales, delivery, and engineering teams to ensure smooth project transitions.
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