Quantiphi Jobs

Artificial Intelligence Engineer

Quantiphi

Artificial Intelligence Engineer

Posted One Month Ago

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In-Office

London, England, GBR

Senior level

In-Office

London, England, GBR

Senior level

Design, develop, and deploy high-performance data platforms and agentic AI solutions on GCP. Lead cloud enterprise solution design, support customer projects to completion, implement MLOps/DevOps (CI/CD, infra automation), and build agent/LLM integrations (RAG, embeddings, vector search). Collaborate cross-functionally and travel monthly to customer sites in Spain; fluency in English and Spanish required.

The summary above was generated by AI

While 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!

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