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, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
- Headquartered in Boston, with 4000+ data science professionals across 11 global offices
- Winner of 3X NVIDIA AI Partner of the Year award
- Winner of the 13X Google Cloud Partner of the Year award including 'Machine Learning, Breakthrough and Social Impact partner'
- Winner of 3X AWS AI/ML Partner of the Year award
- Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
- Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
- Winner of Best in Business Award in Established Business category by INC., 2022
- Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services (2023) by Frost & Sullivan
- Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
- Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform
Work Location: Remote - USA
Job Profile:
As a Cloud Architect, you will be responsible for designing, developing, and deploying cloud-based solutions that meet Quantiphi's business requirements. Your primary focus will be on the architecture, design, and implementation of cloud-based infrastructure and applications. You will work with development teams, project managers, and business stakeholders to create secure, scalable, and high-performance cloud solutions.
Roles and Responsibilities:
- Lead technical discussions regarding architecture design and troubleshooting with clients, provide proactive solutions as required, and own the application configuration for continuous delivery.
- Develop and implement cloud-based solutions that meet the organization's business requirements and KPIs.
- Establish best practices for model deployment, monitoring, and maintenance.
- Design and architect cloud-based infrastructure and applications.
- Work closely with development teams, project managers, and business stakeholders to ensure successful project delivery.
- Identify opportunities to optimize cloud infrastructure and reduce costs.
- Ensure the security and compliance of all cloud-based solutions.
- Evaluate and recommend cloud-based technologies and services to improve the organization's overall technology stack.
- Guide clients on technology evaluation, technical thought leadership, and direction.
- Take the lead in preparing functional and technical specification documents.
- Own the complete SDLC of the project(s) by managing solutioning, engineering, testing, release, and maintenance.
- Work closely with client-partners to align on and manage their expectations and plan for engineering.
- Guide and help team members debug and solve technical problems.
- Lead the effort to build and configure applications, acting as the primary point of contact.
Required Skills:
- Proven experience as a Cloud Architect or a similar role for developing and deploying enterprise AI applications.
- Strong knowledge of cloud-based technologies, such as Azure, AWS, or Google Cloud Platform with hands-on experience in Azure.
- Deep understanding of ML lifecycle management.
- Experience with cloud infrastructure as code (IaC) tools such as Terraform, Ansible, or CloudFormation.
- Knowledge of containerization and container orchestration technologies such as Docker, Kubernetes, or OpenShift.
- Strong understanding of networking concepts, including virtual private clouds, firewalls, and load balancing.
- Automate development and test automation processes through the CI/CD pipeline (Git, Jenkins, Artifactory, Docker containers).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills and the ability to work in a fast-paced environment.
- Design, architect, and build self-service, self-healing, synthetic monitoring, and alerting platforms and tools.
- Good to have automation skills (Python/shell scripting).
What is in it for you:
- Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
- Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing, and other softer aspects such as technical communication.
- Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.
- Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world.