About the job
Are you enthusiastic about the transformative power of AI?
At Satori Analytics, we are on a mission to revolutionize industries through innovative algorithms, providing actionable insights to global brands via Data and AI. Our cutting-edge solutions span the complete data lifecycle, from ingestion to AI application, serving sectors like fintech, aviation, FMCG, retail, manufacturing, and financial services.
As a rapidly expanding scale-up with a team of over 100 tech professionals, including Data Engineers and Data Scientists, we are at the forefront of the data revolution in South-Eastern Europe and beyond. Join us and be part of this exciting journey!
We are seeking an experienced AI Solution Architect to take on a pivotal hybrid role that combines deep technical knowledge with significant business impact. You will serve as the technical authority on client engagements and large-scale RFPs, crafting enterprise-grade Data and AI solutions, and leading complex technical responses. Collaborating with Sales, Engineering, and Customer stakeholders, you will transform ambitious business challenges into scalable, impactful architectures that drive success.
What Your Day Might Look Like:
- Lead technical pre-sales engagements focused on Data Science, GenAI, and Data Estate transformation projects.
- Facilitate discovery workshops to identify business objectives, technical limitations, risks, and criteria for success.
- Design scalable, secure, and production-ready end-to-end Data and AI architectures, covering ingestion, transformation, deployment, and governance.
- Architect GenAI solutions, including RAG pipelines, LLM orchestration, agent frameworks, evaluation mechanisms, and guardrails.
- Define enterprise data platform architectures, including data lakes, lakehouses, warehouses, ETL/ELT pipelines, and analytics layers.
- Translate business challenges into cohesive technical proposals, solution diagrams, Statements of Work (SoWs), and effort estimations.
- Support RFP/RFI responses with clarity and technical depth.
- Work closely with delivery teams to ensure proposed architectures are feasible, scalable, and implementable.
- Contribute to reusable accelerators, reference architectures, and internal best practices.
- Act as a trusted technical advisor to both executive and technical stakeholders.
