
AI Solutions Architect – Pre-sales
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Work closely with the sales team to engage clients and prospects, gaining insights into their security challenges, objectives, and infrastructure needs.
• Perform product demonstrations and presentations that highlight the features, functionalities, and advantages of AI security solutions.
• Design tailored security solutions by applying cybersecurity principles, AI technologies, and industry best practices.
• Lead proof-of-concept initiatives to assess the effectiveness and feasibility of solutions within client environments.
• Offer both pre-sales and post-sales technical support, troubleshoot issues, and assist with deployment and integration processes.
• Facilitate training sessions and workshops for clients and internal stakeholders.
• Collaborate with product management, engineering, and research teams to provide field insights and contribute to product enhancements and roadmaps.
• Keep an eye on market trends, emerging technologies, and the competitive landscape in AI security.
• Demonstrated experience in a pre-sales or post-sales solution architecture position.
• Strong proficiency with Linux, including a solid understanding of GNU and Bash.
• Moderate to advanced experience in cloud technologies, with practical experience in infrastructure as code (IaC).
• Experience in Python programming.
• Proven track record in building advanced AI workflows using tools like LangChain and LangGraph.
• Familiarity with MLOps tools and environments.
• Ability to clearly articulate technical concepts and value propositions to both technical and non-technical audiences.
• Experience in conducting product demonstrations, proof of concepts (PoCs), and technical presentations.
• Excellent interpersonal and communication abilities.
• Capability to establish and maintain relationships with clients and internal stakeholders.
• Self-driven with a strong passion for technology and a commitment to continuous learning.
• Willingness to travel as required to client locations and industry events.
• Experience with container orchestration tools like Kubernetes and CI/CD pipeline integration is beneficial but not mandatory.
• Fully remote work environment.
• Generous stipend for home office setup.
• Annual upgrades for home office equipment.
• Monthly stipends for internet and phone expenses.
• Unlimited and flexible time off for salaried employees.
• 15 paid company holidays.
• Dedicated fund for learning and development, covering training, conferences, certifications, and industry events.
• Team gatherings held a couple of times each year.
• Commitment to being an equal opportunity workplace.
• Work environment free from discrimination and harassment.
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