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• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

In this role, you design, co-create and implement enterprise-scale agentic AI systems together with business and IT teams, from solution architecture to production deployment....

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Design intelligent contact center platforms based on Amazon Bedrock AgentCore and Amazon Connect
• Design agent and conversation architectures including tool integration, persistent memory, multi-agent orchestration, and guardrails

• Technical leadership post-sales for strategic customers in big data projects
• Design and implementation of big data projects from architectural design to data engineering and model deployment

• Design, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming).
• Develop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture.

• Deployment, configuration and management of Atlassian products (JIRA Service Management, Confluence, Jira)
• Design and implementation of CI/CD pipelines for automated deployments and integrations
• Maintenance and improvement of system reliability, scalability and security

• Supporting and consulting our product lines in implementing required product and solution security practices
• Acting as the primary security point of contact for product teams during development, project execution, and service operations

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

Own end to end delivery: You architect, implement, and maintain high quality Salesforce solutions across Apex, Flows, LWC, and data models, and you take technical ownership from design to release....

• End-to-end felelősség cloud és on-premise platformok architektúrájáért
• Cloud platformok tervezése és fejlesztése (AWS, Azure, T Cloud Public)
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• Take end-to-end ownership of large, business-critical initiatives, ensuring strategic impact and sustainable outcomes.
• Act as a recognized expert, setting technical and architectural standards across complex domains.

• Define and design the architectural standards for scalable cloud solutions, including data pipelines, APIs, and analytical tools.
• Oversee the integrity and performance of all SCM AI models and cloud applications, steering continuous enhancements and optimization.

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Lead AI-assisted software engineering activities for Meridian by designing repeatable SDLC patterns
• Anchor the engineering approach for OpenStack-derived services, repository-scale understanding, and sovereign software handover readiness