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# Senior Security Architect

- **Company:** VERIDIANTECH LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Cloud Computing Security, Databases, Continuous Integration, Information Leak Prevention, Data Streaming, Retrieval-Augmented Generation, Large Language Models, Software Security, Machine Learning Operations, Virtual Agents, Devsecops
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/8d835888-4c28-4369-8ca5-876a4f6263ed

## About the Role

* Proven experience leading large engineering teams, reviewing technical work, mentoring engineers, and delivering complex security programs across multiple workstreams.
 * Strong customer-facing skills in technical discovery, solution development, stakeholder management, and executive communication; communicate risks, tradeoffs, priorities, and progress to security leaders, architects, and engineering teams.
 * Lead threat modeling, architecture reviews, and security assessments across applications, APIs, cloud platforms, and AI systems; balance security, delivery timelines, performance, and customer requirements., * Experience: 7+ years of security experience.
 * Education: Relevant degree or equivalent practical experience.
 * Certifications: Advanced security or cloud certifications are advantageous.
 * Location: Dallas, Texas (Hybrid Local to Dallas, in-office 3 days a week)., Experience: 7+ years of security experience, 1. Do you have the required technical security, cloud, and AI/LLM security skills?
 + Mandatory Answer: Yes (Required to qualify)
 2. Are you local to Dallas, TX, and comfortable working on-site in the office 3 days a week?

## Description

Lead customer solution delivery and a team of Forward Deployed Security Engineers, combining hands-on technical leadership with customer engagement across cloud security, DevSecOps, application security, and AI security. Translate complex security challenges into architectures, implementation roadmaps, and production-ready controls, owning technical direction and delivery outcomes from discovery through validation and operational handover. Guide engineering teams and manage dependencies, risks, and escalations across multiple workstreams to meet customer security and operational requirements., * Deep expertise in cloud security, identity, workload protection, application security, containers, infrastructure as code, and CI/CD; define DevSecOps strategies for automated testing, pipeline security gates, software supply chain controls, and remediation workflows.

 * Expertise in LLM, RAG, vector database, AI agent, tool-execution, model deployment, model lifecycle, and MLOps architectures, including data flows, trust boundaries, performance, reliability, and cost; guide retrieval architecture, orchestration, integration strategy, and operating models.
 * Apply AI-specific threat modeling, security controls, and evaluation methods; define enterprise controls for prompt injection, data leakage, insecure retrieval, excessive agent permissions, unsafe tool execution, testing, and monitoring.

Expected Deliverables:

 * Customer-specific security architectures and implementation roadmaps.
 * Validated production-ready controls and operational handover.
 * Reusable reference architectures, tooling, and playbooks.
 * Measurable security outcomes and engineering standards.
 * Process flows, knowledge transfer/mentorship to client teams, and best practice implementation.