AI Solution Architect

December 14, 2024

Apply Now

Receive Emails with Similar Jobs

Storj

WebsiteLinkedInAll Job Openings

Storj is a leader in distributed cloud storage, offering innovative solutions that differentiate it from traditional cloud providers. The company provides on-demand GPUs and fast, affordable, S3 compatible cloud storage, emphasizing scalability, security, and reduced carbon emissions. Storj's distributed cloud technology is designed to be up to 90% less expensive and more sustainable, leveraging zero-trust and zero-knowledge principles for high durability and performance. It serves a wide range of use cases including backups, media workflows, and active archives, all while enhancing backup durability and protecting against cyberattacks.

Decentralized Cloud Storage • Decentralized Apps • Cloud Storage • Object Storage • Blockchain

51 - 200 employees

Founded 2014

🔒 Cybersecurity

📋 Description

• Help a diverse range of AI companies to adopt the right architecture. • Support the evolution and roadmap of the Storj platform and services, and interfacing between our engineering teams and customers. • Identify, establish, curate and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs and serve their AI infrastructure needs. • Develop AI specific technical content, such as blog posts, sample code, benchmarking data, prototypes and solutions built on top of Storj stack. • Attend AI focused networking events to build relationships in the AI community in the Bay Area and potentially globally.

🎯 Requirements

• 4+ years of relevant work experience as a solution architect. • Working knowledge of cloud and multi-cloud data strategies. • Experience architecting AI customer requirements to the cloud. • Experience working with end user or developer communities. • Experience working with Python and generative AI libraries and frameworks such as PyTorch, TensorFlow. • Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF. • Experience scaling model training and inference using technologies like Slurm, ParallelCluster. • Experience with related technology areas such as distributed filesystems and high performance networking. • Proven track record of meeting or exceeding assigned quotas in a technical support role working with an account executive. • Strong verbal, written, communication, and presentation skills.

🏖️ Benefits

• Generous healthcare and insurance coverage. • Paid parental leave. • Flexible paid time off. • 401(k) plan. • Very competitive equity.