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• Application development leadership
• Application implementation oversight
• Application monitoring and issue resolution
• Application maintenance management
• Application support provision
• Data validation against official sources
• Request management for data modification

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• End-to-end allocation and vendor management process ownership
• Allocation management across the project portfolio
• Handling incoming staffing requests from the sales pipeline
• Coordination with Service Lines for internal capacity or subcontractor needs

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Dotnet alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok kezelése és optimalizálása
• Szoftverek teljesítményének javítása és hibák keresése
• Meglévő kódok refaktorálása

• AI use case-ek felmérése és megfelelő LLM modell kiválasztásának segítése
• Technikai minőség, biztonság, compliance, elérhetőség és költségek közötti egyensúly teremtése
• LLM katalógus kezelése: service requestek, jóváhagyások, hozzáférések, credentialek, kvóták és onboarding folyamatok

• You plan and coordinate vulnerability tools, scans, and offensive security testing, classify findings, lead weekly triage meetings, enforce SLAs, and escalate breaches
• Using your technical judgment, you assess the severity, exploitability, and exposure of findings to help teams prioritize remediation

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• Design, development, testing, deployment, and maintenance of scalable and robust software solutions
• Collaboration with product owners, business analysts, and other stakeholders to understand requirements and translate them into technical specifications

• Development and operation of the product in an engineering team
• Production deployments
• Cloud automation
• Monitoring and alerting
• Incident management and post-incident analysis
• Identification and troubleshooting of platform issues

• Sérülékenységek keresése Windowsban és asztali alkalmazásokban
• Önálló kutatás és dokumentáció készítése a kutatás folyamatáról
• Patch diffing készítése BinDiffel

• Design, develop, and maintain software solutions supporting ultrasound reporting and clinical workflows
• Develop and integrate structured medical reporting solutions using TypeScript, XML, JSON, and SQL databases

• Design, develop, and maintain robust and scalable software solutions
• Apply object-oriented design principles and established design patterns
• Contribute to system architecture, improvement of our existing software design and technical decision-making

• Evaluate and integrate emerging Mixed Reality, Augmented Reality, and Spatial Computing technologies into Brainlab products.
• Act as the primary technical interface between external suppliers, technology partners, and internal development teams.

• Lead business and technical discovery sessions to understand customer objectives, requirements, constraints, risks and success measures
• Capture and translate customer needs into clear solution strategies, recommendations, scoped proposals, and phased roadmaps

• Lead the development and implementation of an Agentic Contact Center approach, from initial exploration through MVP development and scaling
• Translate Customer Service business requirements into concrete and scalable AI use cases, process designs, and solution requirements

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

• Look beyond stated requirements for better ways to solve client problems, whether through Salesforce, AI or a smarter process
• Identify opportunities for Agentforce, Data 360 and other new capabilities, and turn them into use cases, prototypes, POCs and pilots

• You'll anchor 4 to 6 concurrent CRM-focused enterprise engagements as the senior consultant, at ≥ 85% billable utilisation
• You'll generate ≥ €200k in expansion and upsell revenue from existing accounts within 12 months, by spotting follow-on opportunities while you deliver