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.
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.
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!
Skills Required
- 5+ years designing, developing, and deploying high-performance data platforms and agentic solutions
- Proven experience designing cloud enterprise solutions and supporting customer projects through completion
- Strong proficiency with GCP stack: AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE), Gemini Enterprise, Agent Platform (Vertex AI), BigQuery, Cloud Run, Vertex AI Pipelines
- Advanced Python coding skills, including data structures, algorithms, and software design
- Experience automating infrastructure provisioning, DevOps/MLOps, and CI/CD pipelines
- Google Cloud Professional Machine Learning Engineer certification
- Hands-on Agentic AI experience: AI Agents, Agent Development Kit (ADK), multi-agent frameworks, and RAG integration
- MLOps/DevOps tooling experience: Kubeflow, Docker, Kubernetes, Linux environments
- Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio
- Fluency in English and Spanish
- Based in Europe (Madrid preferred) and willing to travel to Spain customer site approximately once a month
- Experience with enterprise database solutions (good-to-have)
- Familiarity with PaLM embeddings and vector search (good-to-have)
- Exposure to multi-cloud environments (good-to-have)
- Prior experience in healthcare, retail, or financial services domains (good-to-have)
- Additional GCP certifications (e.g., Professional Cloud Architect, Data Engineer)
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
