Senior AI Data Engineer - Portugal

• Architecture for Scale (Primary Focus) — Design the reference architecture and delivery patterns that take governed data from the semantic layer to every downstream consumer — dashboards, applications, and AI agents — reliably and at scale, with the build-vs-buy calls and standards that let the platform grow without painful rework.
• AI Data Products & Agents — Architect and build the Data Agent, the natural-language interface that lets business users query governed data without writing SQL; design agentic workflows with orchestration, tool/function calling, retrieval, evaluation, and guardrails.
• Semantic Foundation — Co-design the semantic layer (HoneyDew / DBT) — the metrics, dimensions, and governed business meaning that power both analytics and AI — ensuring agents query governed definitions, not raw tables.
• Technical Leadership — Serve as technical lead and trusted advisor; set patterns, run design reviews, and mentor engineers, partnering with the Data Engineer to take designs to production.
• Business Translation — Translate ambiguous business problems into clear technical requirements; own stakeholder relationships and move fluently between executive framing and engineering detail.
• Ownership & Execution — Take features and subsystems end-to-end, proactively identifying gaps and driving work forward even when requirements are incomplete or evolving.

• 8+ years across data architecture and hands-on engineering, including production systems that held up under real enterprise use.
• Strong proficiency in Python and SQL, with deep, hands-on experience designing and building on Snowflake and DBT.
• Proven experience designing and building LLM / agentic solutions — RAG, function / tool calling, orchestration (LangChain / LlamaIndex / LangGraph), prompt engineering, and evaluation / observability.
• Deep understanding of the semantic layer as the architectural bridge between source data and business meaning — and why it is foundational to trustworthy AI.
• Demonstrated ability to translate complex technical concepts for non-technical stakeholders and influence architecture decisions across teams.
• Strong communication and the ability to lead through execution in a fast-moving environment.

• Cloud-native architecture across AWS, Azure, or GCP.
• Vector databases, embeddings, and retrieval evaluation.
• CI/CD and modern engineering practices for data and AI systems.
• Containerization and distributed systems (Docker, Kubernetes, microservices).

Our commitment to you! 

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! 

If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! 

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