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Salary
≈ $25k – $74k per year (Estimated)
Location
Remote (Ukraine)
Seniority
Staff
Employment
Full-Time

First seen by Alion on Oct 19, 2026.

Overview
Company
Impact
Profile match
Dinarys helps companies improve business-critical software through system modernization, custom development, dedicated teams, technical rescue, and long-term support.

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions through custom development, architecture consulting, integrations, and AI-driven innovation.
We’re looking for an AI Solution Architect to lead the design of enterprise-grade AI solutions that solve real business challenges across e-commerce and digital commerce.
This is a strategic, hands-on role for someone who combines deep software architecture expertise with practical experience building AI-powered systems. You’ll work closely with clients, engineering teams, and company leadership to design scalable AI architectures, identify high-impact use cases, and drive AI adoption across customer-facing products and internal engineering processes.
You’ll play a key role in shaping Dinarys’ AI practice by defining architectural standards, evaluating emerging technologies, and helping both our clients and engineering teams successfully leverage Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), and modern cloud-native architectures.

Requirements:
4+ years of experience in Solution Architecture, Software Architecture, or Senior Software Engineering.
Commercial experience designing and delivering AI-powered solutions.
Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and modern AI workflows.
Experience integrating AI services from providers such as OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock, or open-source models.
Understanding of MCP (Model Context Protocol) and modern agent-based architectures is a strong advantage.
Experience designing cloud-native and microservice architectures.
Solid understanding of APIs, system integrations, authentication, and scalable backend architecture.
Experience working with international clients and participating in technical discovery sessions.
Strong communication and presentation skills.
Excellent problem-solving and analytical thinking.
Strong hands-on experience with PHP and modern PHP ecosystems/frameworks, including Laravel or Symfony, REST APIs, microservices, messaging, databases, and cloud-native architectures.
Proven experience leading the architecture and delivery of production-grade PHP backend systems.
Proven experience introducing AI tools and AI-enabled SDLC practices across an engineering organization, not only within individual projects.
Experience defining adoption strategies, engineering guidelines, security guardrails, training programs, and measurable success criteria for organizational AI initiatives.
Technical leadership experience, including architecture ownership, mentoring, code review standards, and coordination across engineering teams.
Upper-Intermediate English or higher.

Nice to have:
Experience in ecommerce or retail technology.
Experience with Shopify, Adobe Commerce (Magento), commercetools, BigCommerce, or other commerce platforms.
Knowledge of AI evaluation frameworks, observability, and LLMOps.
Experience building multi-tenant SaaS platforms.
Familiarity with Computer Vision, recommendation systems, forecasting, or personalization engines.
AWS, Azure, or Google Cloud certifications.

Responsibilities:
Design end-to-end AI solution architectures for ecommerce and digital commerce products.
Analyze business requirements and translate them into scalable AI solutions.
Identify high-impact AI use cases across customer experience, operations, content, search, merchandising, analytics, and internal processes.
Design architectures involving LLMs, AI Agents, RAG, vector databases, and modern AI infrastructure.
Evaluate and recommend AI technologies, models, frameworks, and providers based on quality, cost, security, and scalability.
Collaborate with software engineers to ensure successful implementation of architectural decisions.
Create architecture diagrams, technical documentation, ADRs, and implementation guidelines.
Define best practices for AI integration, governance, monitoring, and security.
Participate in technical discovery sessions with clients and support solution proposals.

Conditions:
Fully remote work.
Opportunity to shape and lead the company’s AI direction and engineering standards.
Work on cutting-edge AI, LLM, and Generative AI projects for international ecommerce clients.
High level of ownership and direct collaboration with engineering leadership and business stakeholders.
Access to modern AI tools and technologies.

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