Platform Architect - AWS

Quantiphi; United States; Remote; USD 125,000 - 225,000; Full time

Job summary

Join a leading AI and Big Data company as a Senior Solutions Architect. Collaborate with clients to design innovative AI solutions, manage project delivery, and lead technical teams. This remote role requires strong expertise in AI, cloud engineering, and stakeholder management.

Benefits

Access to state-of-the-art GPU infrastructure

Strong peer learning opportunities

Exposure to Fortune 500 companies

Qualifications

• Minimum 8 years of experience building and deploying scalable AI systems.

Responsibilities

• Lead end-to-end process from conceptualization to solution delivery.
• Develop project delivery plans and manage technical stakeholders.
• Optimize GPU/compute utilization for agentic workloads.

Skills

AI

NLP

CV

Cloud Engineering

Technical Stakeholder Management

Education

Bachelor's degree in Engineering

Tools

AWS

NVIDIA Triton Inference Server

AWS SageMaker

Job description

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!

Work Location: Remote - USA (Candidate needs to be in EAST Coast)

Role 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 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.
• 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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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