Solutions Architect - United States

• Partner with customers to design and implement advanced Torq solutions that modernize how security work is triaged, investigated, orchestrated, and resolved.
• Architect intelligent workflows that combine orchestration, integrations, LLMs, retrieval, reasoning, tool use, and governed human decision points.
• Design patterns that help security teams move from manual, fragmented processes to scalable, high leverage operating models.
• Build practical solutions for alert triage, investigative enrichment, case progression, phishing, identity, cloud, remediation, and analyst support workflows.
• Design and implement agentic workflow patterns that combine deterministic logic, API orchestration, AI model calls, iterative investigation steps, confidence scoring, and human in the loop controls.
• Create reusable reference architectures, design standards, templates, and paved road frameworks for the broader field organization.
• Help define company wide best practices for how Torq should be deployed for repeatable, scalable customer outcomes.
• Guide customers on the right balance between deterministic automation, AI augmentation, and multi-step agentic execution.
• Translate fast-moving advances in AI, LLMs, and agentic design into reusable solution patterns that can be applied safely and effectively in customer environments.
• Work cros -functionally with Product, Engineering, Customer Success, and field teams to surface emerging customer needs, improve solution quality, and influence product direction.
• Lead design sessions, architecture workshops, and technical reviews with both technical practitioners and executive stakeholders.

• Significant experience in solutions architecture, security engineering, security automation, or customer-facing technical roles within cybersecurity.
• Strong understanding of security operations workflows, including investigation, response, case handling, and cross-platform process orchestration.
• Hands-on experience with AI/LLM technologies, including prompt design, structured outputs, tool calling, retrieval patterns, and agentic workflow design.
• Demonstrated ability to translate emerging AI capabilities into real implementation patterns rather than staying at the conceptual or demo level.
• Strong architectural judgment on how to apply AI in production, including guardrails, fallback paths, escalation design, and human-in-the-loop controls.
• Strong understanding of when AI is appropriate versus when deterministic automation, standard integrations, or simpler workflow logic are the better solution.
• Experience designing complex integrations across APIs, webhooks, identity systems, case management platforms, and security tools.
• Ability to turn ambiguous customer problems into scalable operating patterns and durable technical designs.
• Excellent spoken and written communication skills, including the ability to explain complex technical and AI concepts to both technical and non-technical audiences.
• Strong problem-solving abilities, technical judgment, and strategic thinking.
• Strong organizational and time-management skills, with the ability to balance multiple customer engagements and internal initiatives.

• Experience building or implementing agentic systems in production or near-production environments.
• Experience applying LLMs or agentic architectures to security operations, investigation workflows, or adjacent high-signal operational domains.
• Familiarity with agentic design concepts such as planning and execution loops, reasoning-plus-action patterns, confidence scoring, tool-calling agents, investigation state models, and evaluation frameworks.
• Experience with SOAR, workflow automation, or orchestration platforms in production customer environments.
• Experience building reusable technical patterns, standards, templates, or frameworks for broader organizational use.
• Proficiency with Python, JavaScript, Bash, Go, or similar technologies for integration logic, automation, and prototyping.
• Familiarity with graph-based investigation approaches or linked-entity reasoning.
• Familiarity with modern AI infrastructure and ecosystem patterns such as vector stores, embeddings, model routing, observability, and orchestration frameworks.
• Deep familiarity with security platforms such as CrowdStrike, Microsoft Defender, Okta, Google, Palo Alto, ServiceNow, Jira, Slack, AWS, and Azure.
• Relevant certifications or equivalent practical experience in cybersecurity, cloud, or AI-related domains (e.g., CISSP, CISM, GIAC, AWS, Azure).

As an equal opportunity employer, we are committed to a team defined and empowered by diversity. We consider qualified applicants without regard to race, religion, color, national origin, gender, sexual orientation age, marital status, veteran status or disability status.

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