AI Solutions Architect
- Almatý
- Astaná
- Belgrado
- Breslavia
- Cluj-Napoca
- Cracovia
- Dnipró
- Ereván
- Járkov
- Kyiv
- Lárnaca
- Leópolis
- Lodz
- Lublinie
- Monterrey
- Montevideo
- Odesa
- Remote.AR
- Remote.Brazil
- Remote.Bulgaria
- Remote.Colombia
- Remote.Georgia
- Remote.Kazakhstan
- Remote.Poland
- Riga
- Rosario
- Sofia
- Tiflis
- Varna
- Varsovia
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Client
Project overview
Position overview
Responsibilities
- Lead technical discovery sessions and workshops to identify business goals, pain points, and technical constraints.
- Translate client requirements into detailed AI solution designs, implementation frameworks, and integration strategies.
- Recommend optimal AI technologies, LLMs, platforms, and tools based on specific use cases.
- Evaluate whether requirements should be addressed via existing platforms or through custom-developed AI solutions.
- Produce comprehensive technical documentation, solution proposals, and accurate effort estimates for delivery teams.
- Partner with engineering, product, and delivery teams to ensure the successful transition from design to implementation.
- Assist in pre-sales discussions and technical presentations to demonstrate the value of proposed AI architectures.
- Maintain expert-level knowledge of emerging trends in GenAI, RAG, vector databases, and automation.
Requirements
- Deep understanding of the AI/ML ecosystem, including modern Generative AI capabilities, LLMs, and AI agent frameworks.
- Proven experience designing RAG systems, vector database integrations, and complex automation workflows.
- Demonstrated ability to translate abstract business problems into scalable, technical AI architectures.
- Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
- Practical experience with major cloud platforms (AWS, Azure, or GCP).
- Strong capability in conducting build-vs-buy assessments and defining technical roadmaps.
Nice to have
- Background in pre-sales engineering or AI product strategy.
- Expertise in enterprise-grade software integrations and complex workflow automation.
- Experience leading formal AI discovery or design-thinking workshops.
- Previous professional experience in software engineering or general system architecture.
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