AWS Platform Architect

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!

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.