Associate Architect - Platform (MLOPS)

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, 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

For more details, visit : our Website or our LinkedIn Page Work Location: Remote - Canada Job Profile: As a 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 the Technical Discussion regarding architecture designing and troubleshooting with the clients, provide solutions proactively 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 the client on technology evaluation, technical thought leadership, and direction.
• Take a lead in preparing functional and technical specification documents.
• Own the complete SDLC of the project(s) by managing the 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.
• This role requires visiting to client location as needed.
• 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 the 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 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 (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