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Quantiphi

Platform Architect - AWS

Posted 19 Days Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The role involves designing and delivering AI solutions on AWS, managing technical teams, and ensuring project delivery aligns with client expectations.
The summary above was generated by AI

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!

Work Location: East (USA/ Canada)

Overview:
The Senior Solutions Architect 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 locations 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Top Skills

AWS
Cloudwatch
Ec2
Eks
Iam
Lambda
Nvidia Triton Inference Server
Route53
S3
Sagemaker

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