Technical Solution Architect

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NieokreśloneZdalnieFull-time

#474579·Dodano wczoraj·1

Źródło: Ciklum

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Tech Stack / Keywords

Azure Python C#TypeScript LLMRAGMCPAzure OpenAITerraform Docker

Podsumowanie oferty

Design and deliver AI-powered solutions for a global payments platform as part of its Intelligent Automation & AI Engineering initiative. Build prototypes, agents, automations, and production-ready systems, using Azure and LLM technologies to replace manual decision-making workflows with reliable, auditable systems.

Wymagania

Experience designing end-to-end enterprise solutions, including integrations, APIs, authentication, data flows, and cloud infrastructure.
Hands-on experience with Azure Functions, Azure App Services, Azure Storage, Azure Key Vault, Microsoft Entra ID, networking, and identity management.
Practical experience building LLM-powered applications, AI agents, tool calling, RAG, and multi-step workflows.
Experience with Cursor, GitHub Copilot, or Claude Code, including agent instructions, skills, and automated development workflows.
Development experience in at least one of 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 prototypes, validate assumptions, and iterate based on feedback.
Understanding of enterprise security, RBAC, managed identities, secrets management, and secure AI solution design.
Ability to drive technical initiatives independently from discovery through implementation and deployment.
Strong English communication skills; able to work directly with business stakeholders and explain 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 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.
Proactive and initiative-driven; comfortable challenging existing approaches and identifying opportunities for improvement.
Comfortable with ambiguity and working in a fast-paced R&D environment with evolving requirements.
Builder mentality, with a preference for experimenting, prototyping, and validating ideas.
Passion for AI and active exploration of emerging AI tools and technologies for real-world applications.
Independent and accountable, able to make technical decisions and take ownership without constant guidance.
Scalability-oriented, with a focus on reusable solutions that benefit multiple teams.
Pragmatic engineering mindset, balancing delivery speed with quality, security, and maintainability.
Collaborative approach with technical and non-technical stakeholders.

Obowiązki

Design end-to-end AI solutions, including 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.
Turn business ideas into working prototypes, validate assumptions, and iterate based on feedback.
Connect AI solutions with enterprise platforms, internal APIs, databases, and business systems.
Own technical decisions, identify challenges, and drive solutions from concept through delivery.
Work with business stakeholders to understand business challenges and translate requirements into technical solutions.
Establish reusable architecture patterns, security guardrails, and engineering best practices.
Research emerging AI technologies, evaluate 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 coordinate across teams to ensure delivery.

Benefity

Access to internal events, including meetups, conferences, and workshops; Udemy; language courses; and company-paid certifications.
Company-paid premium medical package through Luxmed.
Access to the MyBenefit cafeteria platform to choose perks.

Kursy językowe

Opieka zdrowotna

Ciklum

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