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

- **Company:** Deloitte T.T.L.
- **Location:** Jericho, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, 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-jericho-ny-usa-58882590

## About the Role

Experteer Overview In this role you help clients solve identity, access, and data protection challenges with AI-enabled solutions. You will bridge client engagements and hands-on delivery, shaping production-grade architectures and accelerators. You'll lead teams, guide pursuits, and ensure high-quality outcomes for clients and colleagues. This position offers meaningful work at the intersection of security, privacy, and innovative engineering. You will play a pivotal role in expanding Deloitte's AI-driven cyber services and delivering measurable impact. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned with target architecture * Lead design, integration, deployment, and operation of production-grade solutions * Shape technical solutions during pursuits with demos, PoCs, prototypes, and estimates * Oversee scope, timelines, quality, and client satisfaction across engagements * Build team and client capability through accelerators, aaaaaaaaaaa
FDE and knowledge transfer * Coach and mentor team members, providing clear guidance * Collaborate with cross-functional teams to drive continuous improvement * Develop reusable accelerators and best-practice engineering processes Tasks * 5+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ years translating requirements into target-state architectures (REST, microservices, event-driven, or serverless) * 3+ years delivering production-grade solutions in Python, Java, or Node.js * 1+ year deploying solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI or large language model solutions * Ability to travel 25-50% as required Key requirements *

## Description

Experteer Overview In this role you help clients solve identity, access, and data protection challenges with AI-enabled solutions. You will bridge client engagements and hands-on delivery, shaping production-grade architectures and accelerators. You'll lead teams, guide pursuits, and ensure high-quality outcomes for clients and colleagues. This position offers meaningful work at the intersection of security, privacy, and innovative engineering. You will play a pivotal role in expanding Deloitte's AI-driven cyber services and delivering measurable impact. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned with target architecture * Lead design, integration, deployment, and operation of production-grade solutions * Shape technical solutions during pursuits with demos, PoCs, prototypes, and estimates * Oversee scope, timelines, quality, and client satisfaction across engagements * Build team and client capability through accelerators, documentation, and knowledge transfer * Coach and mentor team members, providing clear guidance * Collaborate with cross-functional teams to drive continuous improvement * Develop reusable accelerators and best-practice engineering processes Tasks * 5+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ years translating requirements into target-state architectures (REST, microservices, event-driven, or serverless) * 3+ years delivering production-grade solutions in Python, Java, or Node.js * 1+ year deploying solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI or large language model solutions * Ability to travel 25-50% as required Key requirements *


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