Artificial Intelligence Engineer

Quantiphi; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Quantiphi is seeking an Artificial Intelligence Engineer to design, develop and deploy high-performance data platforms and agentic AI solutions. The role focuses on cloud-native architectures on GCP, including AlloyDB, GCS and GKE, and requires strong Python, DevOps/MLOps, and CI/CD expertise.

You will collaborate with global teams, support customer projects, and leverage GenAI and multi-agent frameworks. Travel to Spain/customer sites is expected; fluency in English (and Spanish) is preferred.

Qualifications

• 5+ years of experience designing, developing, and deploying high-performance data platforms and agentic solutions.
• Proven experience in designing cloud enterprise solutions and supporting customer projects through completion.
• Strong proficiency in the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (Vertex AI).
• Advanced Python coding skills, including data structures, algorithms, and software design.
• Experience in automating infrastructure provisioning, DevOps/MLOps, and CI/CD.
• Google Cloud Professional ML Engineer certification.

Skills

Data platform design

Agentic AI

GCP stack

Python

MLOps/DevOps

CI/CD

GenAI/LLM

Tools

Kubeflow

Docker

Kubernetes

Linux

Job description

## Artificial Intelligence EngineerApplylocations: UK Londontime type: Full timeposted on: Posted Todayjob requisition id: JR11463While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!****About Quantiphi:******Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.****Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.****Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.****We’ve been recognized with:*** **17x Google Cloud Partner of the Year awards in the last 8 years.*** **3x AWS AI/ML award wins.*** **3x NVIDIA Partner of the Year titles.*** **2x Snowflake Partner of the Year awards.*** **We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.*** **We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.*** **We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.****Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.****Your next big opportunity starts here!****For more details, visit: Website or LinkedIn Page.****Role - AI Engineer******Location**: Europe (Madrid, Spain preferred - travel to Spain customer site ideally once a month)******Language**: Fluency in both English and Spanish required******Required Skills and Experience:***** **5+ years of experience designing, developing, and deploying high-performance data platforms and agentic solutions.*** **Proven experience in designing cloud enterprise solutions and supporting customer projects through completion.*** **Strong proficiency in the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI).*** **Advanced Python coding skills, including data structures, algorithms, and software design.*** **Experience in automating infrastructure provisioning, DevOps/MLOps, and CI/CD.*** **Google Cloud Professional ML Engineer certification.**### ****Technical Skills***** **GCP Stack (Mandatory):** + **AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE)** + **Gemini Enterprise, Agent Platform (formerly Vertex AI)** + **BigQuery, Cloud Run, Vertex AI Pipelines*** **Programming: Advanced Python skills including data structures, algorithms, and software design patterns.*** **Agentic AI: Hands-on experience with AI Agents, Agent Development Kit (ADK), multi-agent frameworks, and RAG integration.*** **MLOps/DevOps: Experience with Kubeflow, Docker, Kubernetes, and Linux environments.*** **CI/CD: Proficiency in building and managing continuous integration and deployment pipelines.*** **GenAI/LLM: Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio.**## ****Good to Have***** **Experience with AlloyDB and enterprise database solutions.*** **Familiarity with PaLM embeddings and vector search technologies.*** **Exposure to multi-cloud environments.*** **Prior experience in healthcare, retail, or financial services domains.*** **Additional GCP certifications (e.g., Professional Cloud Architect, Data Engineer).******Certification***** **Google Cloud Professional Machine Learning Engineer certification *(Good To have)****If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us**!*