AI Solution Architect
New
A
AddeptoAI Consulting
Warszawa, Krucza 50, Kraków, Aleksandra Lubomirskiego 20, Wrocław, Świdnicka 40, Katowice, -, Gdańsk, -, WarszawaFull-TimeSenior
Salary28,560 - 34,440 PLN per month
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Job Details
- Languages
- English
- Experience
- Several years of proven experience
- Required Skills
- PythonSoftware DevelopmentArtificial IntelligenceMachine LearningData scienceLLMMLOpsGenerative AI
Requirements
- Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Information Systems, or a related field.
- Several years of proven experience working with AI applications and modern AI technologies (e.g. ML, Generative AI, LLMs, Agentic AI).
- Experience with major AI frameworks such as TensorFlow or PyTorch.
- Experience with AI cloud platforms (e.g. AWS, Azure, SAP AI).
- Strong understanding of AI architecture design and implementation.
- Experience with MLOps and production deployment of AI systems.
- Excellent communication and presentation skills in English.
- Willingness to travel (initial onboarding period and occasional workshops).
Responsibilities
- Act as a go-to expert for AI-related topics across client engagements.
- Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies.
- Evaluate and select appropriate AI frameworks, tools, and models.
- Support decision-making processes for make vs. buy AI solutions.
- Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements.
- Support product management and innovation teams in identifying AI use cases that deliver real business value.
- Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions.
- Provide technical leadership in Machine Learning, Generative AI, and Agentic AI.
- Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production.
- Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques.
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