AI Solutions Architect- Post-Sales

HiddenLayer; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Remote work within the United States

Home office stipend

Annual equipment upgrades

Internet/phone allowance

Health plans with employer-subsidized,

401(k)

Unlimited PTO

Company holidays

Learning and development budget

Job summary

HiddenLayer is seeking a Post-sales Solutions Architect to partner with enterprise customers across the US on AI security deployments and value realization.

In this fully remote role, you will lead secure deployments, advise on Docker/Kubernetes, cloud networking, and IaC, and own the post-sale technical relationship to scale outcomes while collaborating with product and engineering teams.

Qualifications

• Experience in post-sales engineering or solutions engineering in AI/security/cloud.
• Hands-on Docker and Kubernetes experience.
• Hands-on cloud experience with AWS, Azure, or GCP, including networking and IaC.
• Proficiency in Python.
• Strong troubleshooting and consultative solution design.
• Clear communication for technical and business audiences.

Responsibilities

• Lead secure deployments and onboarding of AI security solutions across cloud, on-premises, and hybrid environments.
• Advise customers on infrastructure, Docker and Kubernetes, cloud networking, and secure AI operations best practices.
• Own the post-sale technical relationship to scale deployments and security objectives.
• Troubleshoot issues, tune configurations, and surface optimization opportunities.
• Run hands-on workshops, training, and create docs to build customer self-sufficiency.
• Channel customer feedback to product, engineering for roadmap influence.

Skills

Post-sales engineering

Customer success

Solutions engineering

Docker experience

Kubernetes

Python proficiency

Cloud platforms (AWS/Azure/GCP)

Infrastructure as Code

Troubleshooting

Effective communicator

Tools

Docker

Kubernetes

AWS

Azure

GCP

Terraform

Job description

Role overview

Partner with enterprise customers as a post-sales Solutions Architect in the AI security space, ensuring successful deployment, adoption, and long-term value realization of protective technology for AI systems. This remote US-based role, with a preference for West Coast candidates, focuses on integrating solutions into diverse customer environments and acting as a trusted technical advisor across the customer lifecycle.

Responsibilities

• Lead secure deployments and onboarding of AI security solutions across cloud, on-premises, and hybrid environments
• Advise customers on infrastructure, containerization with Docker and Kubernetes, cloud networking, and best practices for secure AI operations
• Own the post-sale technical relationship, helping customers scale their deployments and reach security objectives
• Troubleshoot issues, tune configurations, and proactively surface optimization opportunities
• Run hands-on workshops, training sessions, and documentation efforts to build customer self-sufficiency
• Channel customer feedback into product, engineering, and research teams to influence the product roadmap

Requirements

• Background in post-sales engineering, customer success, or solutions engineering, ideally with AI, security, or cloud products
• Strong Docker experience with containerized workloads; Kubernetes familiarity is highly desirable
• Hands-on cloud experience with AWS, Azure, or GCP, including networking concepts and Infrastructure as Code
• Proficiency in Python
• Strong troubleshooting instincts and a consultative approach to iterative solution design
• Clear communication skills and the ability to engage both technical and business audiences

Nice to have

• Exposure to AI/ML workflows and tools such as LangChain, LangGraph, or MLOps platforms

Benefits and work setup

• Fully remote within the United States, with a preference for West Coast candidates
• Home office stipend, annual equipment upgrades, and a monthly internet/phone allowance
• Multiple health plan options with employer-subsidized premiums, plus vision, dental, and a 401(k)
• Unlimited flexible paid time off and 15 paid company holidays
• Dedicated learning and development budget for training, conferences, and certifications