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# Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist

- **Company:** Deloitte T.T.L.
- **Location:** Dayton, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Large Language Models, Generative AI, Restful APIs, Software Version Control, Serverless Computing, Microservices
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/cyber-identity-fde-senior-consultant-senior-engineering-management-specialist-dayton-oh-usa-58882582

## About the Role

Experteer Overview In this role you will translate client needs into AI-enabled Digital Trust & Privacy solutions and lead hands-on delivery of production-grade systems. You'll guide pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams. Expect cross-functional collaboration to shape architectures, deploy scalable solutions, and advance AI-enabled cyber services in a fast-paced environment. You'll work with clients to reduce risk and improve resilience while growing your leadership and engineering impact. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape solutions during pursuits via demos, PoCs, prototypes, effort estimation, and pricing inputs * Oversee client delivery: scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team a
of client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 5+ experience in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ experience translating requirements into target-state architectures using REST APIs, microservices, event-driven or serverless architectures * 3+ experience building and deploying production-grade solutions in Python, Java, or Node.js * 1+ experience delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months of experience designing or deploying generative AI / LLM solutions * Ability to travel 25-50% * Equivalent demonstrated experience in lieu of a degree Key requirements * discretionary annual incentive program * inclusive culture * professional development opportunities * support for accommodation and accessibility * broad range of benefits * mentorship and growth opportunities

## Description

Experteer Overview In this role you will translate client needs into AI-enabled Digital Trust & Privacy solutions and lead hands-on delivery of production-grade systems. You'll guide pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams. Expect cross-functional collaboration to shape architectures, deploy scalable solutions, and advance AI-enabled cyber services in a fast-paced environment. You'll work with clients to reduce risk and improve resilience while growing your leadership and engineering impact. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape solutions during pursuits via demos, PoCs, prototypes, effort estimation, and pricing inputs * Oversee client delivery: scope, timelines, quality, and customer satisfaction; drive continuous improvement * Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 5+ experience in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ experience translating requirements into target-state architectures using REST APIs, microservices, event-driven or serverless architectures * 3+ experience building and deploying production-grade solutions in Python, Java, or Node.js * 1+ experience delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months of experience designing or deploying generative AI / LLM solutions * Ability to travel 25-50% * Equivalent demonstrated experience in lieu of a degree Key requirements * discretionary annual incentive program * inclusive culture * professional development opportunities * support for accommodation and accessibility * broad range of benefits * mentorship and growth opportunities


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