AI Solution Architect I

We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. Partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. Work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. Help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation.

Key Responsibilities

Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation. Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows. Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points. Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects. Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps. Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams. Skill Requirements Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft. Have worked in customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role. Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review. Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. Communicate clearly with both CISOs and hands-on practitioners. Have strong evidence-first judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating claims. Are excited to build leverage for the broader field by turning one-off customer work into repeatable assets and product feedback loops.