ITDS

AI Solutions Architect – LLM & MCP

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SeniorHybryda·WarszawaFull-time·Umowa o pracę

#469708·Dodano 16 dni temu·2

Źródło: ITDS

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Tech Stack / Keywords

LLMsMCPAI agentsAPI gatewaysAI gatewaysAPIsauthenticationauthorizationaccess control

Podsumowanie oferty

As a Senior Enterprise AI Architect, you will design and implement secure enterprise AI solutions for a client in online banking. The role focuses on integrating LLMs with internal systems, developing MCP integrations, and implementing AI gateways and security mechanisms.

Wymagania

Proven experience designing and implementing enterprise IT architectures or AI-based solutions.
Strong understanding of LLMs, AI agents, and enterprise AI architectures.
Practical knowledge of MCP and its use in integrating AI models with external systems.
Experience implementing API gateways, AI gateways, or similar access-management solutions.
Understanding of AI security, including authentication, authorization, access control, and secure tool execution.
Experience integrating enterprise applications, APIs, and internal systems.
Knowledge of enterprise security architecture, governance, and access management principles.
Strong architectural thinking and the ability to translate business and security requirements into technical solutions.
Polish and communicative English.

Nice to have:

Previous experience in the banking sector.
Experience designing secure development environments or developer workstations.
Excellent communication skills and experience collaborating with technical teams, architects, and security stakeholders.

Obowiązki

Design and implement enterprise AI architectures based on LLMs, MCP, and AI agent technologies.
Develop and integrate MCP servers and connectors to provide secure access to internal systems and enterprise services.
Implement and maintain AI gateways that control access to LLMs, tools, APIs, and enterprise resources.
Establish security mechanisms governing AI agent permissions, authentication, authorization, and access control.
Design secure integration patterns between AI solutions and enterprise applications.
Define architectural standards and best practices for building, deploying, and maintaining enterprise AI solutions.
Collaborate with security, infrastructure, and development teams to ensure solutions meet enterprise requirements.
Evaluate emerging AI technologies and recommend solutions that improve security, scalability, and operational efficiency.

Inne informacje

Only candidates with an existing legal right to work in the European Union will be considered.

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