Security Architect

Celersoft; Dallas (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Celersoft LLC in Dallas, TX seeks a Security Architect specializing in AI cybersecurity threat monitoring to establish threat response capabilities across GenAI and foundation models. This role focuses on identifying, detecting, investigating, hunting, and responding to emerging threats across enterprise AI systems and integrations.

You will design telemetry pipelines, implement observability strategies, and lead security architecture decisions for AI workloads in an AWS-centric environment.

Qualifications

• Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience.
• Advanced degree preferred.
• Must be legally authorized to work in the United States without sponsorship.

Skills

Security Operations

Detection Engineering

Threat Hunting

SIEM/SOAR

Alerting Pipelines

MITRE ATLAS

OWASP for LLM

NIST AI RMF

Purple Teaming

Adversary Emulation

Telemetry/Observability

Non-Human Identity

Cross-Functional Leadership

AWS Cloud Environments

Education

Bachelor's degree in Cybersecurity

Advanced degree preferred

Tools

AWS

Job description

Job Title: Security Architect, Job Role: Architect – AI Cybersecurity Threat Monitoring, Dallas, TX (Hybrid)

Position Overview

We are seeking a Security Architect specializing in AI Cybersecurity Threat Monitoring to establish and operationalize threat response capabilities targeting and leveraging AI systems. This role focuses on identifying, detecting, investigating, hunting, and responding to emerging threats across enterprise GenAI, agentic AI, foundation models, data sources, non-human identities, Model Context Protocol (MCP), and tool integrations.

Required Skills & Experience (Ranked by Importance)

• Security Operations, Detection Engineering & Threat Hunting: Deep background in SOC monitoring, detection engineering, SIEM/SOAR rule creation, alerting pipelines, and threat hunting workflows.
• AI & LLM Cybersecurity: Hands‑on experience securing Generative AI, Agentic AI, Large Language Models (LLMs), Model Context Protocol (MCP), and AI APIs—especially within AWS cloud environments.
• Framework Proficiency: Practical application of MITRE ATLAS, OWASP for LLM Applications, and NIST AI RMF for threat modeling and control mapping.
• Purple Teaming & Adversary Emulation: Experience designing and testing attack scenarios against AI workloads to validate defensive controls.
• Telemetry & Observability Strategy: Proven ability to architect logging, telemetry pipelines, and data visibility requirements for cloud and AI/ML workloads.
• Non-Human Identity & Access Management: Understanding of security best practices for AI service accounts, automated agents, API tokens, and machine‑to‑machine integrations.
• Cross‑Functional Architecture & Stakeholder Leadership: Experience driving security architecture reviews, leading executive briefings, and translating complex AI risks into business decisions.

Qualifications & Education

Education: Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience. Advanced degree preferred.

Basic Requirements: Must be at least 18 years old and legally authorized to work in the United States without sponsorship (Immigration Reform Act of 1986).

Preferred Certifications

• Security Architecture & Leadership: CISSP, CCSP, GIAC (e.g., GDSA, GCIA, GCIH), or AWS Certified Security – Specialty.
• AI Security & Governance: Advanced in AI Risk (AAIR), Advanced in AI Security Management (AAISM), CompTIA Security AI+, or equivalent specialized training.
• Cloud & AI Fundamentals: AWS Certified AI Practitioner, AWS Certified Cloud Practitioner.

Regards,

Ram

Celersoft LLC

Skills :

GIAC,GCIH,COMPTIA SECURITY,AI,CISSP,CCSP,DATA VISIBILITY,AWS