Senior AI Engineer – Customer & Marketing Systems at Kiwi.com

✨ The Stack take on this Kiwi.com job

• 🏢 Kiwi.com has 4 jobs here, 4 with visa sponsorship see all
• 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree guide
• 💡 No salary shown. Ask Kiwi.com if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design, build and operate scalable production AI/ML systems for personalization, semantic search and RAG-driven experiences.
- Own vector search strategy and implementations (Vertex AI Vector Search, pgvector, Pinecone) for high-scale similarity and semantic retrieval.
- Define and govern customer and event data models in BigQuery to support analytics, targeting and model inputs.
- Implement embedding and retrieval pipelines to surface AI-driven signals into CRM, CDP and marketing automation flows.
- Architect and deploy AI services on GCP (Vertex AI, Cloud Run, GKE, Dataflow, Pub/Sub) with reliability and observability in mind.
- Partner with product and marketing teams to translate customer and commercial needs into prioritized AI products and experiments.
- Set engineering standards for production ML (code reviews, design reviews, reliability, monitoring, testing).

Requirements:
- Proven experience architecting, deploying and maintaining production-grade AI/ML systems at scale.
- Strong GCP expertise, especially BigQuery and Vertex AI; hands-on with vector databases and semantic search.
- Deep data modeling skills (relational and dimensional) and experience with high-volume customer/event datasets.
- Advanced Python skills and familiarity with ML frameworks, LLMs and RAG architectures.
- Practical experience integrating AI outputs with marketing tech stacks (CRMs, CDPs, automation tools).
- Awareness of data privacy and compliance (e.g., GDPR) and experience designing privacy-conscious systems.
- Strong communication skills; ability to lead technical discussions and work in fast-paced, iterative environments.

Responsibilities

Design and deploy scalable AI/ML systems focusing on personalization, semantic search, and RAG to enhance customer platforms. Architect AI services on GCP and partner with product and marketing teams to optimize AI-driven customer journeys.

Requirements

Requires significant experience architecting production-grade AI/ML systems with deep expertise in the GCP ecosystem and vector databases. Proficiency in Python, LLMs, and data modeling for high-volume customer datasets is essential.

Key skills

• AI/ML System Architecture — not in any other listing on The Stack
• GCP — in 169 other listings on The Stack
• Vertex AI — in 8 other listings on The Stack
• BigQuery — in 60 other listings on The Stack
• Vector Databases — in 13 other listings on The Stack
• Python — in 1200 other listings on The Stack
• RAG Architectures — in 3 other listings on The Stack
• LLMs — in 80 other listings on The Stack
• Data Modeling
• Semantic Search
• Cloud Run
• GKE
• Dataflow
• Pub/Sub
• CRM/CDP Integration
• GDPR Compliance

On The Stack (as of 2026-11-05)

• Kiwi.com has 3 other listings on The Stack, 3 of them marked as offering visa sponsorship.
• 76 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 18 visa-sponsored ai engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Kiwi.com

Is this Senior AI Engineer – Customer & Marketing Systems role still open?

It was posted on 2026-07-15. Listings more than 30 days old may no longer be active, so check Kiwi.com's site before applying.

Does Kiwi.com offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Kiwi.com's site.

Where is this role located?

The listing gives the location as Spain. It is marked on-site.

What skills does this role ask for?

The listing names: AI/ML System Architecture, GCP, Vertex AI, BigQuery, Vector Databases, Python, RAG Architectures, LLMs, Data Modeling, Semantic Search, Cloud Run, GKE, Dataflow, Pub/Sub, CRM/CDP Integration, GDPR Compliance.