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.

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 4,000+ 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!

For more details, visit: Website or LinkedIn Page.

Work Location: Toronto - Canada

Role Overview:

The candidate for AI Platforms will collaborate closely with customers to ideate innovative AI solutions tailored to solve complex business challenges. You will lead the end-to-end process from conceptualization through solution delivery, including detailed project roadmaps, resource planning, sprint execution strategies, and cost estimations. As a key leader within engagements, you will guide engineering teams, ensure high-quality delivery, and maintain transparent communication with clients.

Key Responsibilities:

• Ideate and design advanced AI (NLP & CV) solutions in collaboration with client stakeholders to address specific business needs.
• Develop comprehensive project delivery plans, encompassing project roadmaps, resource allocations, sprint planning, and budgeting.
• Lead technical teams through solution delivery, providing mentorship, technical oversight, and ensuring adherence to best practices.
• Manage technical stakeholders, clearly communicating progress, risks, and mitigation strategies throughout the project lifecycle.
• Govern overall solution delivery to ensure timely completion, high quality, and alignment with customer expectations.
• Optimize GPU/compute utilization, storage, and networking for agentic workloads across dev, staging, and production.
• Travelling to client location as needed.

Required Qualifications:

• Bachelor's degree in Engineering.
• Minimum 8 years of experience building and deploying scalable AI systems.

Preferred Qualifications:

• Experience designing and delivering Generative AI and Agentic AI solutions.

Key Competencies:

• Strong expertise in cloud engineering, particularly AWS: EC2, EKS, Lambda, S3, CloudWatch, SageMaker, IAM, Route53. Must have driven cost optimization strategies across compute, storage, and data transfer on AWS.
• Deep understanding of AI/ML (NLP & CV) development and deployment frameworks including NVIDIA Triton Inference Server and AWS SageMaker.
• Excellent technical stakeholder management and communication skills.
• Proven capability in first principles thinking, ownership, and strategic decision-making.

Additional Attributes:

• Highly motivated, proactive self-starter who thrives in ownership-driven roles.
• Adept at applying first principles thinking to complex problem-solving scenarios.

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