AI Solutions Architect- Post-Sales (UK)

HiddenLayer; United States; Remote; USD 121,000 - 188,000; Full time

Benefits offered by this job

Home office stipend

Equipment refresh

Internet/phone allowance

Health plan options

Retirement plan

Unlimited PTO + 15 holidays

Learning and development budget

Job summary

HiddenLayer seeks a post-sales Solutions Architect to help enterprise clients deploy, adopt, and scale AI security protections for their AI systems. This fully remote UK role partners with customers after the sale to translate technical environments into secure, high-performing integrations while acting as a long-term trusted advisor.

Responsibilities include designing secure deployments across cloud, on-premises, and hybrid environments, guiding containerized workloads and cloud networking,

Qualifications

• Experience in a post-sales, customer success, or solutions engineering role, ideally with AI, security, or cloud-based products.
• Strong Docker and containerization experience; familiarity with Kubernetes is highly desirable.
• Hands-on experience with a major cloud provider (AWS, Azure, or GCP), including networking and Infrastructure as Code
• Working proficiency in Python
• Strong troubleshooting skills and the ability to guide customers through iterative solution design
• Excellent communication skills and comfort working with both technical and business stakeholders

Responsibilities

• Design and lead secure deployments of AI security solutions across cloud, on-premises, and hybrid customer environments
• Provide hands-on technical guidance on containerized workloads, cloud networking, and infrastructure best practices for safe AI operations
• Serve as the primary post-sale technical contact, owning customer success outcomes and helping teams scale their usage over time
• Diagnose configuration issues, troubleshoot technical problems, and proactively recommend optimizations
• Deliver enablement sessions, hands-on workshops, and documentation that allow customer teams to operate independently
• Capture structured customer feedback and partner with product, engineering, and research teams to shape roadmap priorities

Skills

Post-sales experience

Docker

Python

Communication

Troubleshooting

Cloud networking

Tools

Kubernetes

AWS

Azure

GCP

Terraform

Job description

Role overview

Join a customer success team focused on AI security as a post-sales Solutions Architect, helping enterprise clients deploy, adopt, and scale protective technology for their AI systems. This remote UK role partners closely with customers after the sale to translate technical environments into secure, high-performing integrations while acting as a long-term trusted advisor.

Responsibilities

• Design and lead secure deployments of AI security solutions across cloud, on-premises, and hybrid customer environments
• Provide hands‑on technical guidance on containerized workloads, cloud networking, and infrastructure best practices for safe AI operations
• Serve as the primary post‑sale technical contact, owning customer success outcomes and helping teams scale their usage over time
• Diagnose configuration issues, troubleshoot technical problems, and proactively recommend optimizations
• Deliver enablement sessions, hands‑on workshops, and documentation that allow customer teams to operate independently
• Capture structured customer feedback and partner with product, engineering, and research teams to shape roadmap priorities

Requirements

• Proven experience in a post-sales, customer success, or solutions engineering role, ideally with AI, security, or cloud-based products
• Strong Docker and containerization experience; familiarity with Kubernetes is highly desirable
• Hands‑on experience with a major cloud provider (AWS, Azure, or GCP), including networking and Infrastructure as Code
• Working proficiency in Python
• Strong troubleshooting skills and the ability to guide customers through iterative solution design
• Excellent communication skills and comfort working with both technical and business stakeholders

Nice to have

• Familiarity with AI/ML workflows and tooling such as LangChain, LangGraph, or MLOps platforms

Benefits and work setup

• Fully remote position within the UK
• Home office setup stipend, annual equipment refresh, and monthly internet/phone allowance
• Multiple health plan options with employer‑subsidized coverage, plus vision, dental, and a retirement plan
• Flexible unlimited paid time off plus 15 paid company holidays
• Dedicated learning and development budget for training, conferences, and certifications