Senior Security Engineer

generis Tek•Dallas, TX
•Hybrid

About The Position

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. Own 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. The role is based in Dallas, Texas, in a hybrid work arrangement. The project duration is two months, with a contract-to-hire arrangement. Compensation is $65–$68 per hour on W-2.

Requirements

  • 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.
  • Deep expertise in cloud security, identity, workload protection, application security, containers, infrastructure as code, and CI/CD.
  • 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.
  • Ability to balance security, delivery timelines, performance, and customer requirements.

Responsibilities

  • Lead customer solution delivery and a team of Forward Deployed Security Engineers.
  • Provide hands-on technical leadership and customer engagement across cloud security, DevSecOps, application security, and AI security.
  • Translate security challenges into architectures, implementation roadmaps, and production-ready controls.
  • Own technical direction and delivery outcomes from discovery through validation and operational handover.
  • Guide engineering teams and manage dependencies, risks, and escalations across multiple workstreams.
  • Conduct 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.
  • Define DevSecOps strategies for automated testing, pipeline security gates, software supply chain controls, and remediation workflows.
  • Guide retrieval architecture, orchestration, integration strategy, and operating models for AI and ML systems.
  • Define enterprise AI security controls and evaluation methods covering prompt injection, data leakage, insecure retrieval, excessive agent permissions, unsafe tool execution, testing, and monitoring.
  • Deliver customer-specific security architectures and implementation roadmaps, validated production-ready controls, operational handover, reusable reference architectures, tooling, playbooks, measurable security outcomes, and engineering standards.
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