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• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Leading PDO teams in building solutions and data products
• Bridging the gap between business requirements, complex data streams, and actionable AI/analytical solutions
• Managing the full project lifecycle from backlog grooming and agile coordination to technical delivery and operational deployment

• Working in a scaled environment to make the scaled design more accurate
• Driving and facilitating Scrum activities such as PI planning, daily scrum meetings, sprint retrospective, and product demos with focus on improving team efficiency
• Creating dashboards

• Transform vague client ideas into concrete product scopes
• Define ideal team setup and project phases for new engagements
• Create realistic effort and time estimates for proposals
• Lead design portion of presales process
• Participate in pitches and qualify technical requirements

• Design and delivery of technical trainings, workshops and enablement sessions for customers, partners and internal teams
• Explanation of complex cloud architectures, concepts and T Cloud Public services in a clear and structured way

• Leading a cross-functional Product Driven Organization team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain
• Bridging the gap between complex statistical modeling, cloud architecture, and strategic senior executive decision-making

• Operational coordination and management of a flight software team
• Close coordination with the Project Manager on all relevant projects
• Building and maintaining a backlog based on the required project work
• Managing daily tasks across multiple engineers

• Project-specific security design for data-driven and AI-powered systems including cloud environments on AWS, Azure, and GCP
• Risk assessment with threat modeling focusing on data security and vulnerabilities related to LLMs and AI models

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

Implementation of IS-U solutions including analysis of business requirements and configuration of SAP IS-U modules to support core utility processes such as billing, invoicing, device management, and customer service...

• Design and implement SAP IS-U developments using ABAP and ABAP OO supporting core IS-U processes such as billing, invoicing, device management, and customer service
• Assist in SAP IS-U implementation projects and provide development support in productive environments (AMS and long-term support)

• Regular review and challenge of engineering design documents
• Building and mentoring a high-performing engineering team
• Contributing to strategic planning and execution as part of the Engineering Leadership Team

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• KPI tracking of 3PL service providers
• Invoice control checks and payment advice provision
• Creation of monthly performance reports to generate compensation claims
• Assistance with management of daily activities
• Creation of adhoc reports using different data sources

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing and maintaining AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation