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• Understand business needs and translate them into well-structured business, data and reporting requirements
• Work with business stakeholders to clarify objectives, priorities, KPIs and acceptance criteria

Leads projects to implement MOL Group’s Business strategic initiatives related to IT investments and application developments....

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Design and build agentic systems that plan, call tools and automate real business workflows
• Design and build multi-agent solutions with agent-to-agent work handoff, review and human escalation

• Lead end-to-end delivery of major enterprise platform and technology initiatives
• Develop and own detailed program and project plans
• Direct and coordinate internal technology teams and third-party vendors
• Own program governance including status reporting and executive communications

• Own the product and delivery roadmap, translating strategic direction into a clear and actionable backlog
• Define and prioritize customer-centric enhancements that improve the experience for patients, doctors, hospitals, and our employees working in blood collection points

• Business process discovery
• Business process documentation
• Business process analysis
• Leading interviews and workshops with client stakeholders
• Capturing As-Is commercial processes and activities
• Structuring, analyzing, and documenting processes into clear and comprehensive documentation

• 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

• Accountability for a portfolio of strategic infrastructure initiatives across hybrid cloud, data center modernization, and AI platform enablement
• Establishment of governance for program framework including planning, risk management, financial oversight, and executive reporting

• Designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation
• Building CI/CD pipelines
• Leading migrations of customer workloads from on-premises, GCP, Azure, or Heroku to AWS

• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• Development and elaboration of functional concepts including creation of functional architectures
• Creation of user stories and use cases to support development processes
• Visualization of functional concepts such as sequence diagrams and activity diagrams

• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions

• Implementation and support of VB.NET based software solutions
• Participation in the run and maintain team for MES software

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

• Design, implement, and optimize compiler passes and transformations using LLVM/Clang or GCC
• Build and maintain robust toolchains
• Support new and complex architectures in compiler backends
• Work on architecture-agnostic and IR-level optimizations
• Work on silicon specific optimizations

• Identification of highest-leverage AI opportunities in the developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Design and develop scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Build and enhance user experiences using Lightning Web Components and Aura Components

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms