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

- **Company:** Deloitte T.T.L.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cyber Security, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Large Language Models, Generative AI, Information Technology, 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-seattle-wa-usa-58882563

## About the Role

Experteer Overview As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will craft AI-enabled engineering solutions to identity, access, and data protection challenges. You will bridge client engagements and hands-on delivery, shaping technical solutions and building reusable accelerators. You'll lead teams, ensure quality outcomes, and drive progress across engagements in a fast-paced consulting environment. This role offers exposure to cutting-edge AI-driven cyber services within a global firm. 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 * Shaping technical solutions during pursuits; lead demos, proofs of concept, prototypes, effort estimation, pricing inputs * Oversee scope, timelines, quality, and customer satisfaction across engagements * Build team capability through aaaaaaq
_ accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or related field * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 3+ years building/deploying production-grade solutions (Python, Java, or Node.js) * 1+ year delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6 months to 1 year designing/deploying generative AI or LLM solutions in client/production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *

## Description

Experteer Overview As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will craft AI-enabled engineering solutions to identity, access, and data protection challenges. You will bridge client engagements and hands-on delivery, shaping technical solutions and building reusable accelerators. You'll lead teams, ensure quality outcomes, and drive progress across engagements in a fast-paced consulting environment. This role offers exposure to cutting-edge AI-driven cyber services within a global firm. 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 * Shaping technical solutions during pursuits; lead demos, proofs of concept, prototypes, effort estimation, pricing inputs * Oversee scope, timelines, quality, and customer satisfaction across engagements * Build team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or related field * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 3+ years building/deploying production-grade solutions (Python, Java, or Node.js) * 1+ year delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6 months to 1 year designing/deploying generative AI or LLM solutions in client/production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements *


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