AI & Data Solution Architect
New
B
BillenniumAI and data
Workplace type: remote; Locations: Warszawa, Rondo Organizacji Narodów Zjednoczonych, Warszawa, Country code: PLFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- En C1, pl C1; Fluent English (C1 level).
- Experience
- 5+ years of experience as a Solution Architect, Data Architect, AI Architect, Technical Consultant, Pre-Sales Consultant, or in a similar client-facing technology role.
- Required Skills
- Artificial IntelligenceMachine LearningGenerative AI
Requirements
- Have 5+ years of experience as a Solution Architect, Data Architect, AI Architect, Technical Consultant, Pre-Sales Consultant, or in a similar client-facing technology role.
- Understand modern Data & AI ecosystems, including data platforms, analytics, machine learning, generative AI, and cloud services.
- Have experience designing business and technology solutions for enterprise clients.
- Connect technology capabilities with business outcomes and communicate with technical and non-technical stakeholders.
- Have experience supporting pre-sales activities, workshops, RFPs, proposals, and client presentations.
- Demonstrate communication, relationship-building, and stakeholder management skills.
- Be fluent in English at C1 level.
- Hands-on experience with Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, AWS, or Google Cloud is a plus.
- Knowledge of GenAI platforms, LLM-based solutions, Copilot technologies, RAG architectures, and AI adoption frameworks is a plus.
- Experience with enterprise clients in regulated or complex environments is a plus.
- Understanding of software development practices, integration architectures, DevOps, and cloud-native solutions is a plus.
- Experience with pricing, estimation, and commercial solutioning is a plus.
Responsibilities
- Analyze client business challenges and identify opportunities for AI, data, analytics, and software solutions.
- Design high-level and end-to-end solution concepts across AI, data, analytics, cloud, and application development.
- Support sales engagements with discovery workshops, solution presentations, proposals, and technical discussions.
- Translate business objectives into technology roadmaps and scalable architectures.
- Collaborate with Data & AI, Engineering, and Delivery teams to validate feasibility and implementation approaches.
- Participate in RFP and bid processes, including solution estimation, pricing, and offer preparation.
- Transfer solution knowledge and hand over work to delivery teams.
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