
AI Solution Architect
Posted May 23

Posted May 23
This is a fully remote position, open to applicants in Ukraine.
• Develop scalable AI-driven solutions, ensuring high performance, reliability, and maintainability.
• Integrate various components (AI/ML, backend systems, third-party services) into a unified architecture.
• Offer technical estimations, advisory services, proof of concepts (PoCs), and support during pre-sales activities.
• Collaborate with stakeholders to gather and clarify product and technical requirements.
• Partner with project managers to align the architecture with project goals and constraints.
• Convert complex business requirements into scalable and compliant technical architectures.
• Establish architectural standards, best practices, reference models, governance rules, CI/CD expectations, and operational guidelines.
• Assess existing client infrastructure and align new solutions accordingly.
• Balance functional and non-functional requirements, including performance, security, cost, and scalability.
• Lead and justify crucial technical decisions based on trade-offs and alternatives.
• Over 7 years of experience in software engineering and system design.
• More than 3 years in a technical leadership or architecture role.
• Strong expertise in Python programming.
• Practical experience with AI/ML solutions, including LLMs and Generative AI.
• Demonstrated experience in designing distributed systems and integration-heavy solutions.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Practical experience with containerization and orchestration tools: Docker, Kubernetes, Helm.
• In-depth understanding of APIs, microservices, and system integration patterns.
• Proven experience in consulting, pre-sales, and client-facing roles.
• Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.
• Advanced proficiency in English is a plus.
• Experience with LLM-based solutions, such as RAG and AI agents.
• Hands-on experience with TensorFlow or PyTorch.
• Background in Data Engineering or Big Data.
• Relevant cloud certifications.
• Employees have the option to work remotely.
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