• Lead the architectural design and technical strategy for product offerings and customer-centric projects, ensuring consistency with company goals. 
• Develop comprehensive solution architecture frameworks encompassing both infrastructure and application components to address project requirements. 
• Formulate accurate development estimates, assess risks, and contribute significantly to proposal writing and solution pitching processes. 
• Conduct thorough investigations and analyses of technical complexities, proposing optimal solutions for handling challenging issues that arise. 
• Coordinate with project leadership and architects, clarifying technical barriers and detailing necessary project specifications. 
• Proactively manage project scope, ensuring all deliverables align with agreed-upon objectives and client expectations. 
• Facilitate project budgeting and timeline planning in collaboration with project managers and relevant stakeholders, aiming for cost-effective and timely solutions. 
• Act as a technical mentor to junior team members, promoting continued learning and professional development within the technical team. 
• Deliver pre-sales and technical consulting, advising potential clients solutions by understanding their requirements and aligning product capabilities to their needs. 

• A minimum of 7 years of experience in software development with a robust portfolio displaying a diverse set of accomplished projects. 
• At least 2 years in a Solution Architect role emphasizing complex architectural design. 
• At least 2 years in designing solutions integrating with Machine Learning Models and/or Generative AI / LLMs 
• English, with a minimum proficiency of a B2 level both spoken and written. 
• Outstanding communication and presentation skills, capable of effectively engaging with clients, team members, and stakeholders. 

Key knowledge and hands-on experience in: 

Back-End Development:

• Strong background in server-side languages (Node.js/Python)
• Experience with SQL and NoSQL databases
• In-depth understanding of RESTful APIs and GraphQL
• In-depth understanding of background job processing (BullMQ/Celery/Hatchet)

AI Development:

• Experience with third-party AI services integration
• Experience deploying and serving AI models in production
• Experience with LLM provider APIs (OpenAI/Anthropic)
• Experience with vector databases and retrieval techniques

DevOps and Cloud Environments:

• Experience with Docker/Kubernetes containerization
• Experience with AWS/Azure cloud platforms
• Experience with CI/CD pipelines (Jenkins/GitLab CI)