Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.
We’re looking for a Solutions Architect to build AI-powered solutions in the financial domain.
Responsibilities:
- Work directly with the product teams to capture detailed requirements and develop end-to-end detailed solution architecture specifications covering both functional and non-functional aspects of the product.
- Collaborate with Enterprise Architecture, Data & AI governance teams to ensure full alignment of solution architecture with enterprise data strategy, AI governance frameworks, security policies, compliance and architecture standards.
- Partner with engineering teams to validate that the delivered solution is as per the prescribed architecture specification.
- Present architecture artifacts to technical and non-technical stakeholders.
Requirements:
- 5+ years’ industry experience, including 2 years as a Solutions Architect focused on large-scale Data and AI projects and 3 Years of experience as a Software Engineer.
- Experience in designing scalable AI-driven software systems. Solid understanding of agentic frameworks.
- Proven experience in architecting hybrid cloud solutions that meet business objectives and are aligned with security, performance, compliance and scalability goals.
- Solid experience collaborating with Engineering teams, Product and Program management, Data and AI governance groups.
- Strong Proficiency in Python, SQL, Identity and Access management solutions.
- Excellent written and verbal communication skills.
- Hands-on experience in Data Engineering and applied Machine Learning.
- Degree in Computer Science or Engineering
- Experience with Azure Databricks, Kubernetes
Technology stack – Python, SQL, LangChain or similar agentic framework, Azure, Databricks, Kubernetes.
Working conditions and benefits:
- Paid vacation, sick leave
- Official state holidays
- Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
- Flexible working schedule: 8 hours per day, 40 hours per week
- Personal Career Development Plan (CDP)
- Employee support program (Discount, Care, Health, Legal compensation)
- Paid external training, conferences, and professional certification that meets the company’s business goals
- Internal workshops & seminars
Grow your expertise and make an impact with our team! 🚀
