AI Platform Architect at Quantiphi, United Kingdom, Immediate Start, £Contract Rate

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+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, 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.

Location: United Kingdom

Contract: Contract with IMMEDIATE joining

Role Summary:

We are seeking an experienced AI & Platform Architect to join our team and help design, implement, and optimize AI and data solutions on Google Cloud Platform. The ideal candidate will have hands-on experience across GCP services, machine learning platforms, and infrastructure automation, with a strong understanding of enterprise-scale cloud environments.

Key Responsibilities:

• Design, implement, and manage scalable AI and data platform solutions in GCP.
• Lead architecture and implementation efforts across BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and Vertex AI.
• Manage containerized applications using Kubernetes/GKE and implement infrastructure as code using Terraform.
• Collaborate with stakeholders to ensure solutions meet security, compliance, and organizational policy requirements.
• Optimize data pipelines and AI workflows, providing guidance on best practices for cloud and ML solutions.
• Automate tasks and data workflows using programming languages such as Python or Java.

Basic Qualifications (BQs)

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or equivalent experience.
• Experience in VMO2/Telefónica GCP estate preferred.
• Hands-on experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, VPC, and IAM.
• Practical experience with Vertex AI (Workbench, Training, Prediction/Serving, Feature Store) and core ML concepts.
• Experience with Terraform for infrastructure as code and Kubernetes/GKE for container orchestration.
• Strong proficiency in SQL and at least one programming language for data engineering and automation (Python or Java).
• Solid understanding of GCP networking concepts, firewall rules, encryption, and organizational policy constraints.

Nice to Have:

• Experience working in enterprise-scale cloud environments with a focus on AI and ML solutions.
• Familiarity with CI/CD pipelines and DevOps best practices for ML workflows.

What’s in it for YOU at Quantiphi:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.