About the role

AI Solution Architect at Satori Analytics leading technical pre-sales engagements and designing Data & AI solutions. Collaborating with clients to translate business challenges into scalable architectures.

Responsibilities

**What Your Day Might Look Like:**
Lead technical pre-sales engagements across Data Science, GenAI, and Data Estate transformation initiatives.
Conduct discovery workshops to uncover business objectives, technical constraints, risks, and success criteria.
Contribute in designing scalable, secure, and production-ready end-to-end Data & AI architectures, from ingestion and transformation to deployment and governance.
Contribute in architecting GenAI solutions (RAG pipelines, LLM orchestration, agent frameworks, evaluation mechanisms, guardrails).
Contribute in defining enterprise data platform architectures (data lakes, lakehouses, warehouses, ETL/ELT pipelines, analytics layers).
Translate business challenges into clear technical proposals, solution diagrams, SoWs, and effort estimations.
Support RFP/RFI responses with clarity, structure, and technical depth.
Collaborate closely with delivery teams to ensure proposed architectures are realistic, scalable, and implementable.
Contribute to reusable accelerators, reference architectures, and internal best practices.
Act as the trusted technical advisor to executive and technical stakeholders alike.

**Your Superpowers🚀:**
5+ years of experience in technical pre-sales, solution architecture, or consulting roles within Data, AI, or Cloud.
Strong understanding of Data Science workflows and GenAI architectures (RAG, agents, LLM orchestration).
Proven ability to lead discovery sessions and translate business requirements into scalable solution designs.
Experience designing end-to-end Data & AI platforms (ingestion, transformation, storage, modeling, deployment, governance).
Hands-on familiarity with cloud platforms (Azure or AWS) including data services and AI tooling.
Strong knowledge of modern data stacks (data lakes, lakehouses, data warehouses).
Solid understanding of MLOps / LLMOps and production AI system requirements.
Ability to create high-quality technical documentation and executive-ready presentations.
Strong stakeholder management and communication skills.
Fluent in English, both written and spoken.
**Bonus Points for: **
Experience working with enterprise AI vendors (OpenAI, Anthropic, Google, Microsoft, Databricks, Snowflake, etc.).
Exposure to regulated industries (finance, healthcare, public sector).
Experience working on EU-funded innovation or digital transformation projects (such as Horizon Europe, Digital Europe Programme etc).
Familiarity with data governance, security, and compliance frameworks.
Experience building AI business cases and ROI models.
Background in consulting or system integration environments.
Cloud or Data/AI certifications.

**Perks on Perks:**
Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
Private insurance, top-tier tech gear, and the chance to work with a stellar crew.