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AI Solutions Architect

Job type: Full Time · Department: Engineering · Work type: On-Site

Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.

Job Description

We are hiring AI Solutions Architects to form the pivotal bridge between our cutting-edge AI platform and the diverse needs of our clientele. You'll lead the charge in developing bespoke workflows, products, and solutions that exceed our customers' objectives, ensuring they can effortlessly stay at the forefront of technology. This role is your opportunity to leave a significant mark on our technology's direction and our platform's evolution.

Responsibilities

  • Innovate and implement bespoke AI products, solutions, and workflows, ensuring they're perfectly aligned with our customers' unique goals and seamlessly integrated with our technology.
  • Foster close collaboration with both product development teams and customers, translating complex technical requirements into scalable, efficient solutions that propel our platform and our customers' objectives forward.
  • Oversee the entire lifecycle of AI applications, from data management and preprocessing to model development, training, evaluation, and iteration, delivering robust, high-performance AI solutions.
  • Continuously track and incorporate the latest AI and generative model advancements, applying creative problem-solving to keep both our platform and our customers at the cutting edge.

Qualifications

  • A minimum of 3 years of experience in AI development, data science, or a Ph.D. in a related field. A track record of deploying data science and AI models into production environments is a major plus.
  • Demonstrated proficiency in data management and preprocessing, with a keen understanding of techniques such as data augmentation, normalization, and transformation. Practical experience with AI-focused data tools such as Retriever-Augmented Generation (RAG) and vector databases is a major plus.
  • Expertise in AI and data science model development and lifecycle management, with a focus on refining and ensuring the performance and relevance of models over time.
  • A customer-centric mindset, complemented by strong communication skills, capable of transforming technical insights into high-quality, customer-loved software solutions.
  • The agility to keep pace with the latest technological advances and methodologies in AI, embodying a proactive, forward-thinking approach to development and problem-solving.

What You Bring to the Table

We are looking for people who are eager to learn and master the ability to use our AI platform to solve the deepest enterprise pain points and deliver enduring value to our customers. We want people who are customer-centric and can be a strong voice of the customer to our product development process, including key metrics and new features. If you're ready to make an outsized impact on our technology and help our customers leapfrog to the cutting edge, we want to hear from you.

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