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# Cyber Senior Manager - Technology Resilience FDE

- **Company:** Deloitte T.T.L.
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Disaster Recovery, Software Engineering, Large Language Models, Build Management, Restful APIs, Serverless Computing, Microservices
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-senior-manager-technology-resilience-fde-raleigh-nc-usa-58880061

## About the Role

a AI capability roadmaps across multiple workstreams or domains * Engage client stakeholders (CISO, resilience and GRC leadership) to prioritize automation for audit/compliance * Translate client needs into production-grade AI solutions for resilience use cases * Lead hands-on design, integration, deployment, and operation of production AI solutions, including troubleshooting * Own technical solutioning during pursuits (POCs, demos, estimates, pricing) across opportunities * Enable clients at scale with workshops, adoption planning, and training curricula * Oversee delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Create reusable accelerators and scale adoption with documentation and knowledge transfer * Own the technical roadmap across engagements and contribute to practice capability development Tasks * 12-15+ years of hands-on software engineering experience * 6+ years translating requirements into target architectures (REST APIs, aaaaaaaaaaa
FDE event-driven, or serverless) * 3+ years delivering solutions on AWS, Azure, or GCP with containers and CI/CD * 3+ years designing, building, deploying generative AI/LLM solutions in production * Experience owning AI production engineering standards across engagements * 3+ years leading and developing engineering teams including managers * Experience architecting AI-enabled solutions across multiple workstreams * Experience contributing to practice capability, hiring, training or reusable IP * Experience enabling client workshops, demonstrations, and adoption planning * Ability to travel 25-50% Key requirements * Discretionary annual incentive program * Travel opportunities (25-50% on average) * Reasonable accommodations available

## Description

Experteer Overview In this role you will embed within a client's environment to design, build, and deploy production-grade AI capabilities using the client's data and systems while leading the engineering team and technical roadmap. You'll work across resilience-related domains such as disaster recovery, control and evidence automation, and third-party monitoring to drive secure, auditable AI solutions. You will shape solutions, mentor engineers, and deliver scalable accelerators that lift engagement impact. This position offers hands-on delivery with strategic influence across engagements. Compensation / Benefits * Design and build AI-enabled solutions inside a client environment (agents, retrieval/RAG pipelines, automation workflows) * Set and own standards for AI production practices (evaluation, guardrails, observability, reliability, security, cost/performance) across multiple engagements * Mentor and manage Engineering Managers and their teams across client engagements * Architect AI capability roadmaps across multiple workstreams or domains * Engage client stakeholders (CISO, resilience and GRC leadership) to prioritize automation for audit/compliance * Translate client needs into production-grade AI solutions for resilience use cases * Lead hands-on design, integration, deployment, and operation of production AI solutions, including troubleshooting * Own technical solutioning during pursuits (POCs, demos, estimates, pricing) across opportunities * Enable clients at scale with workshops, adoption planning, and training curricula * Oversee delivery scope, timelines, quality, and customer satisfaction; drive continuous improvement * Create reusable accelerators and scale adoption with documentation and knowledge transfer * Own the technical roadmap across engagements and contribute to practice capability development Tasks * 12-15+ years of hands-on software engineering experience * 6+ years translating requirements into target architectures (REST APIs, microservices, event-driven, or serverless) * 3+ years delivering solutions on AWS, Azure, or GCP with containers and CI/CD * 3+ years designing, building, deploying generative AI/LLM solutions in production * Experience owning AI production engineering standards across engagements * 3+ years leading and developing engineering teams including managers * Experience architecting AI-enabled solutions across multiple workstreams * Experience contributing to practice capability, hiring, training or reusable IP * Experience enabling client workshops, demonstrations, and adoption planning * Ability to travel 25-50% Key requirements * Discretionary annual incentive program * Travel opportunities (25-50% on average) * Reasonable accommodations available


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