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)