AI Solutions Architect – Post-Sales

🕒 May 4

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HiddenLayer

WebsiteLinkedInAll Job Openings

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

• Partner with customers to design and implement secure deployments of AI security solutions across cloud, on-premises, or hybrid environments • Provide technical consultation on infrastructure, containerization, and cloud networking • Help customers adopt best practices for secure AI operations • Serve as the primary technical point of contact after the sale • Ensure customers achieve security objectives, ongoing value, and successful deployment scaling • Diagnose and resolve customer issues • Optimize configurations and identify improvement opportunities • Deliver hands-on workshops, training sessions, and technical documentation • Capture customer feedback and collaborate with product management, engineering, and research teams on roadmap priorities and product enhancements

🎯 Requirements

• Proven experience in a post-sales, customer success, or solutions engineering role; AI, security, or cloud-based product experience preferred • Strong experience with Docker and containerized workloads • Familiarity with Kubernetes highly desirable • Hands-on cloud experience with AWS, Azure, or GCP • Knowledge of cloud networking concepts and Infrastructure as Code (IaC) • Python programming experience required • Familiarity with AI/ML workflows, including LangChain, LangGraph, and MLOps tools, is a plus • Experience troubleshooting technical issues and guiding customers through iterative solution design • Excellent interpersonal and communication skills • Ability to work with technical and business stakeholders • Self-motivated and adaptable • Passion for helping customers succeed

🏖️ Benefits

• Fully remote global team • Generous home office setup stipend • Annual home office equipment upgrades • Monthly internet/phone expense stipend • Health insurance with five options, including fully subsidized options • Vision insurance • Dental insurance • 401(k) offerings • Unlimited and flexible time off for salaried employees • 15 paid company holidays • Dedicated learning and development fund for training, conferences, certifications, and industry events • Equal opportunity workplace • Team gatherings a couple of times a year