Solutions Architect

Noma Security

. Lead technical discovery sessions with enterprise customers to understand their AI usage, architecture, and security requirements .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing end-to-end solution architectures for AI systems, with a strong focus on security, governance, and cloud environments. Proven ability to translate complex technical requirements into business value while guiding customers through architectural decisions.

Highest-signal resume keywords

Cybersecurity ExpertiseCloud Architecture (AWS / GCP / Azure)AI Security ImplementationTechnical Solution DesignCustomer-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ArchitectureEngineeringAI SystemsModel PipelinesGenAI ApplicationsSecurity GovernanceCompliance RequirementsEnterprise Security StandardsTechnical ValidationScalability Considerations

Soft Skills

Excellent CommunicationTrusted Advisor

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

Enterprise CustomersTechnical DiscoveryPre-Sale EngagementsPost-Sale ImplementationObservability Frameworks

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead technical discovery sessions with enterprise customers to understand their AI usage, architecture, and security requirements
Design end-to-end solution architectures tailored to customer environments, including cloud, hybrid, and on-premises environments
Translate security and governance needs into scalable technical implementations
Support Sales during pre-sale technical validation and proof-of-value engagements
Partner with Product and R&D to communicate field feedback and influence roadmap priorities
Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization
Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments
Define best practices for secure AI adoption, governance workflows, and observability frameworks
Guide customers through architecture decisions, trade-offs, and scalability considerations
Act as a trusted advisor to CISOs, security teams, and AI leaders
Support complex technical escalations and architectural challenges
Stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks

Requirements

What you’ll need

Hands-on technical background (architecture, engineering)
5+ years of experience in cybersecurity (Application Security, Cloud Security, AI Security, or related fields)
Strong understanding of modern cloud environments (AWS / GCP / Azure) and enterprise architectures
Experience designing or implementing complex technical solutions in enterprise environments
Excellent communication skills and ability to translate technical depth into business value
Customer-facing experience - pre-sale, post-sale, or strategic technical advisory roles
Bachelor’s degree in Computer Science or equivalent practical experience
Experience working with AI / LLM systems, model pipelines, or GenAI applications
Background as a Product Manager in cybersecurity looking to transition into a more technical, architecture-focused role
Experience in early-stage startups or high-growth environments
Familiarity with governance frameworks, compliance requirements, and enterprise security standards

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
Home office setup reimbursement
Short- and long-term disability insurance
Life and accident insurance
Unlimited paid time off (PTO)
A warm, supportive, and people-first company culture
A global work environment with teams across Tel Aviv, the US, the Netherlands, and London
Equity options that let you share in Noma’s growth and success