Technical Solution Architect

About this role

Ciklum is looking for a Technical Solution Architect to join our team full-time in Romania.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As a Technical Solution Architect, become a part of a cross-functional development team engineering experiences of tomorrow.
Our client is a leading global payments platform that connects businesses and consumers across 260 payment types in over 40 countries. With over 20 years of experience and an annual transaction volume exceeding $150 billion, it is a powerhouse in digital wallets, eCash solutions, and merchant acquiring.
In 2026, our client is undergoing a massive AI transformation. You will be joining the Intelligent Automation & AI Engineering initiative with the goal of replacing manual decision-making workflows with reliable, auditable AI-assisted systems.
You will work in an automation COE, collaborating with a centralised AI Platform team, IT, Dev Ops etc.
Responsibilities:

• Design end-to-end AI-powered solutions, defining architecture, technology choices, integrations, and deployment approaches

• Build prototypes, AI agents, automations, and production-ready solutions using modern AI technologies

• Design and improve AI-assisted development workflows, develop reusable agent skills, engineering standards, and automation frameworks

• Design, deploy, and optimize Azure infrastructure for AI applications, ensuring scalability, security, and cost efficiency

• Transform business ideas into working prototypes, validate assumptions, and iterate quickly based on feedback

• Connect AI solutions with enterprise platforms, internal APIs, databases, and business systems

• Own technical decisions and proactively identify challenges, driving solutions from concept through delivery

• Work directly with business stakeholders, understand business challenges, and translate requirements into practical technical solutions

• Establish reusable architecture patterns, security guardrails, and engineering best practices

• Research emerging AI technologies, evaluate new tools, and identify opportunities to accelerate engineering and business processes

• Mentor engineers, document reusable solutions, and help teams adopt AI-assisted development practices

• Take responsibility for technical outcomes, troubleshoot blockers, and proactively coordinate across teams to ensure delivery

Requirements:

• Strong experience designing end-to-end enterprise solutions, including integrations, APIs, authentication, data flows, and cloud infrastructure

• Hands-on experience with Azure Functions, App Services, Storage, Key Vault, Entra ID, networking, and identity management

• Practical experience building LLM-powered applications, AI agents, tool calling, RAG, and multi-step workflows

• Strong experience with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code, including agent instructions, skills, and automated development workflows

• Strong development background in at least one programming language: Python, C#, or TypeScript, and experience building production-ready applications

• Experience connecting enterprise systems using REST APIs, MCP, webhooks, and workflow automation

• Ability to turn ambiguous business requirements into working prototypes quickly, validate assumptions, and iterate based on feedback

• Understanding of enterprise security, RBAC, managed identities, secrets management, and secure AI solution design

• Ability to independently drive technical initiatives from discovery through implementation and deployment

• Strong English communication skills, comfortable working directly with business stakeholders and explaining technical decisions

• Experience with Azure AI Foundry, Azure AI Search, Azure OpenAI, Microsoft Copilot Studio, and Microsoft Graph API

• Familiarity with Semantic Kernel, LangGraph, AutoGen, or similar agent orchestration frameworks

• Experience designing reusable AI agent skills, custom instructions, MCP servers, and agentic SDLC workflows

• Experience with Terraform, Bicep, ARM templates, and automated cloud provisioning

• Experience with GitLab CI/CD, GitHub Actions, Docker, and automated deployment pipelines

• Experience integrating SharePoint, Salesforce, Jira, Confluence, Microsoft Teams, and other enterprise platforms

• Knowledge of LLM evaluation, prompt optimization, tracing, monitoring, and cost management

• Experience working in regulated industries such as financial services, with security, compliance, and governance constraints

• Experience mentoring engineers, creating reusable engineering standards, and enabling teams to adopt new technologies

• Experience exploring emerging AI technologies, running technical experiments, and turning successful prototypes into reusable solutions

• Highly proactive and initiative-driven, takes initiative, challenges existing approaches, and proactively identifies opportunities for improvement

• Comfortable with ambiguity, thrives in a fast-paced R&D environment with evolving requirements and uncertainty

• Strong builder mentality, prefers experimenting, prototyping, and validating ideas rather than spending excessive time on theoretical discussions

• Passionate about AI, actively explores emerging AI tools and technologies and applies them in real-world scenarios

• Independent and accountable, makes technical decisions and takes ownership without requiring constant guidance

• Scalability-oriented, thinks beyond individual tasks and focuses on creating scalable, reusable solutions that benefit multiple teams

• Pragmatic engineering mindset, balances speed of delivery with engineering quality, security, and maintainability

•…