20 hours ago
Budapest, HungaryStaff+
Responsibilities
- Lead architecture and solution shaping for enterprise AI opportunities.
- Conduct customer discovery, technical consultations, workshops, presentations, solution discussions, proposals, RFIs/RFPs, and technical qualification.
- Design enterprise architectures spanning AI platforms, applications, data, infrastructure, cloud, networking, security, identity, integration, and operations.
- Define approaches for Private AI, Sovereign AI, Hybrid AI, and cloud-based AI deployments.
- Develop AI architecture roadmaps covering model hosting and inference, RAG, vector search, agentic workflows, orchestration, guardrails, and observability.
- Coordinate Solution Engineers and infrastructure, networking, cloud, security, data, application, and delivery specialists.
- Guide solutions from pre-sales and PoCs toward realistic, secure, scalable, and operationally viable implementation.
- Create reusable reference architectures, design principles, integration patterns, standards, technology recommendations, and solution patterns.
- Evaluate emerging enterprise AI and technology options using customer, technical, security, sovereignty, operational, and cost considerations.
Requirements
- 7–10+ years of enterprise architecture experience in large corporate environments.
- Strong customer-facing and pre-sales experience, including technical discovery, consultation, presentations, workshops, solution shaping, proposal development, and senior-stakeholder interaction.
- Experience designing and evaluating enterprise solutions across multiple technology domains.
- Strong understanding of infrastructure, cloud, networking, security, identity, applications, integration, data, and operations.
- Experience with Private AI, Sovereign AI, Hybrid AI, Generative AI, enterprise AI platforms, or AI architecture is advantageous.
- Understanding of LLMs, model inference, RAG, embeddings, vector search, agentic workflows, orchestration, and enterprise AI integration.
- Ability to balance technical, business, operational, security, and commercial considerations.
- Excellent professional English communication and presentation skills.
- Deep AI specialization is not required; enterprise architecture foundations, customer-facing skills, technical curiosity, and ability to learn emerging technologies are valued.
Benefits
- Hybrid working arrangement.
- Opportunity to join a newly established Private and Sovereign AI team and influence its architecture capabilities, solutions, and technology portfolio.
- Collaboration with hands-on Solution Engineers and specialist teams while focusing on architecture, consultation, solution shaping, customer engagement, and pre-sales.
Categories
Solutions Engineering