AI Solutions Architect – Pre-sales

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HiddenLayer

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🔒 Cybersecurity

💳 Fintech

Artificial Intelligence • Cybersecurity • Fintech

HiddenLayer is the first dedicated security platform for artificial intelligence, designed to protect AI models from adversarial attacks that can threaten business advantages. Partnered with Microsoft Azure, HiddenLayer provides a suite of solutions including AI detection and response, security scanning, and automated reporting to safeguard machine learning algorithms without needing access to the underlying data. Founded by professionals with extensive backgrounds in AI and security, HiddenLayer aims to provide a straightforward and effective way for enterprises to secure their AI assets.

📋 Description

• Collaborate with the sales team to engage clients and prospects and understand security challenges, objectives, and infrastructure requirements • Conduct product demonstrations and presentations showcasing AI security solution features, functionality, and benefits • Architect customized security solutions using cybersecurity principles, AI technologies, and industry best practices • Lead proof-of-concept projects to validate solution effectiveness and feasibility in client environments • Provide pre-sales and post-sales technical support, troubleshoot issues, and support deployment and integration • Conduct training sessions and workshops for clients and internal stakeholders • Collaborate with product management, engineering, and research teams to provide field feedback and contribute to product enhancements and roadmap • Monitor market trends, emerging technologies, and the competitive landscape in AI security

🎯 Requirements

• Proven experience in a pre-sales or post-sales solution architecture role • Proficiency with Linux, including familiarity with GNU and Bash • Moderate to advanced cloud experience, including hands-on infrastructure as code (IaC) experience • Python programming experience • Experience building advanced AI workflows with tools such as LangChain and LangGraph • Experience with MLOps tools and environments • Proficiency articulating technical concepts and value propositions to technical and non-technical audiences • Experience conducting product demonstrations, proof of concepts (PoCs), and technical presentations • Excellent interpersonal and communication skills • Ability to build and maintain relationships with clients and internal stakeholders • Self-motivated with a passion for technology and continuous learning • Willingness to travel as needed to client sites and industry events • Experience with container orchestration such as Kubernetes and CI/CD pipeline integration is helpful but not required

🏖️ Benefits

• Fully remote work • Generous home office setup stipend • Annual home office upgrades • Monthly internet/phone expense stipend • Unlimited and flexible time off for salaried employees • 15 paid company holidays • Dedicated learning and development fund for training, conferences, certifications, and industry events • Team gatherings a couple of times a year • Equal opportunity workplace • Workplace free of discrimination or harassment

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