About Us:

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.

Company Highlights:

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ 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!

Roles and Responsibilities:

• Deep expertise in Google Cloud Platform (GCP) to lead the strategic design, development, and implementation of our next-generation AI systems and platforms
• Define and champion the long-term AI architectural vision and strategy, aligning with overall company objectives and product roadmaps, with a strong emphasis on optimizing for and leveraging Google Cloud Platform services.
• Identify emerging AI technologies, trends, and best practices, evaluating their potential impact and applicability to our business, specifically within the GCP ecosystem.
• Develop and maintain a comprehensive AI technology roadmap, including platform evolution, model lifecycle management, and MLOps capabilities, primarily on GCP.
• Lead the end-to-end architectural design of complex, large-scale AI/ML systems, including data pipelines, model training infrastructure, inference services, and integration points, all built on Google Cloud Platform.
• Design for scalability, reliability, performance, security, cost-efficiency, and maintainability across the entire AI stack, leveraging GCP's native capabilities.
• Establish architectural patterns, principles, and standards for AI development, ensuring consistency and quality across projects, with a focus on GCP best practices.
• Drive the selection and evaluation of AI/ML frameworks, tools, and services, prioritizing and deeply understanding GCP's AI/ML offerings (e.g., Vertex AI, BigQuery ML, Dataflow, Dataproc, Cloud AI Platform)
• Provide expert technical guidance and mentorship to AI/ML engineers, data scientists, and other engineering teams on GCP-native AI/ML development and deployment.
• Conduct architectural reviews, provide constructive feedback, and ensure adherence to architectural best practices, especially concerning GCP services.
• Act as a technical escalation point for complex AI-related challenges on GCP

Required Skills:

• 10+ years of progressive experience in software engineering, with at least 5+ years focused on designing and building large-scale AI/ML systems.
• Proven experience as a Lead AI Architect, Principal Engineer, or similar senior architectural role.
• Demonstrated track record of successfully delivering complex, production-grade AI solutions from concept to deployment, with significant experience on Google Cloud Platform.
• Deep understanding of AI/ML fundamentals: Strong grasp of various ML algorithms (supervised, unsupervised, reinforcement learning), deep learning architectures (CNNs, RNNs, Transformers), and their practical applications.
• Proficiency in ML frameworks: Expertise with at least one major ML framework (e.g., TensorFlow, PyTorch, JAX).
• Google Cloud Platform (GCP) Expertise - REQUIRED:
• Extensive hands-on experience designing, deploying, and managing AI/ML solutions on GCP.
• Deep knowledge and practical experience with key GCP AI/ML services, including:
• Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store, Model Registry)
• BigQuery ML
• Dataflow, Dataproc, Pub/Sub for data processing and streaming.
• Cloud Storage for data lakes.
• Cloud Functions, Cloud Run, GKE for serving and orchestration.
• Cloud AI Platform (legacy knowledge is a plus, but Vertex AI is key).
• Google Cloud operations suite (Monitoring, Logging, Trace).
• Strong understanding of GCP networking, security, and IAM best practices for AI workloads.
• MLOps & Data Engineering: Strong understanding and practical experience with MLOps principles, tools, and practices (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes), specifically as implemented or integrated within GCP. Experience with data warehousing, data lakes, and ETL/ELT pipelines on GCP (e.g., BigQuery, Dataflow).
• Programming Languages: Expert-level proficiency in Python. Experience with other languages like Java, Scala, or Go is a plus.
• System Design: Exceptional skills in designing distributed systems, microservices architectures, and high-performance computing for AI workloads, leveraging GCP services.
• Data Governance & Security: Understanding of data privacy regulations (e.g., GDPR, CCPA) and best practices for securing AI systems and data, with a focus on GCP security controls

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud