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!
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