Enterprise AI Architect for Secure, Scalable Solutions

QuilrAI; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Quilr is seeking an AI Solutions Architect to act as a trusted technical advisor to enterprise customers, translating business and security requirements into practical architectures and guiding evaluations and deployments.

You will partner with Solutions Engineering, Field Development, Sales, Product, and Core Engineering to ensure solutions are sound and secure, capable of scaling across cloud and on‑prem environments.

Qualifications

• Typically 5+ years of experience in solutions architecture, software engineering, cloud architecture, cybersecurity, platform engineering, or related technical field.
• Demonstrated experience designing and integrating enterprise applications, APIs, cloud services, or distributed systems.
• Working knowledge of LLM-powered applications, AI agents, retrieval-augmented generation (RAG), and modern AI application architectures.
• Strong understanding of cloud infrastructure, networking, IAM, authentication, authorization, and enterprise integration patterns.
• Ability to design secure, scalable, reliable solutions and explain technical trade-offs to engineering teams and business stakeholders.
• Experience in customer-facing technical consulting, architecture workshops, presales engineering, or technical solution delivery.
• Strong written and verbal communication skills, including the ability to create architecture diagrams, technical proposals, and implementation plans.
• Ability to operate effectively in a fast-paced startup environment with evolving requirements and product capabilities.

Responsibilities

• Lead technical discovery sessions with customer engineering, cloud, platform, and security teams to understand their AI use cases, infrastructure, constraints, and risk requirements.
• Design end-to-end solutions that integrate Quilr with enterprise LLM applications, AI agents, orchestration frameworks, data sources, APIs, and MCP-based workflows.
• Translate customer needs into solution architectures, integration patterns, deployment plans, and technical success criteria.
• Create architecture diagrams, technical proposals, implementation roadmaps, and solution documentation tailored to each customer environment.
• Build technical champions, meet face to face with prospects and develop trusted relationships with our prospects and customers.
• Assess AI application architectures and identify security risks involving prompt injection, sensitive-data exposure, unsafe tool execution, excessive agent permissions, and untrusted context.
• Design appropriate trust boundaries, authentication and authorization patterns, policy enforcement points, secrets-management practices, and audit logging.
• Recommend secure deployment patterns across cloud, private cloud, on-premises, and hybrid environments, based on customer requirements and product capabilities.
• Consider reliability, scalability, performance, observability, maintainability, and operational readiness as part of each proposed solution.
• Support presales activities, technical workshops, architecture reviews, POC planning, and customer technical evaluations.
• Define measurable POC success criteria and help customers validate functionality, security controls, integration feasibility, and operational fit.
• Guide AI Field Developers and Solutions Engineers through implementation decisions, integration dependencies, and complex technical escalations.
• Collaborate with customer teams to resolve architectural blockers and support a smooth transition from evaluation to production deployment.
• Partner with Sales, Product, and Engineering to align customer requirements with Quilr’s capabilities and roadmap.
• Capture recurring customer needs, architectural gaps, and field insights, and translate them into actionable product feedback.
• Develop reusable reference architectures, implementation patterns, and best practices that improve consistency across customer deployments.
• Communicate technical trade-offs, limitations, risks, and dependencies clearly without overpromising product capabilities.

Skills

Solutions architecture

Software engineering

Cloud architecture

Cybersecurity

Platform engineering

Technical consulting

Presales engineering

Clear communication

Tools

AWS

Azure

GCP

Docker

Kubernetes

APIs

Job description

Quilr is seeking an AI Solutions Architect to act as a trusted technical advisor to enterprise customers, translating business and security requirements into practical architectures and guiding evaluations and deployments.

You will partner with Solutions Engineering, Field Development, Sales, Product, and Core Engineering to ensure solutions are sound and secure, capable of scaling across cloud and on‑prem environments.