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

- **Company:** Deloitte T.T.L.
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Node.Js, Public Key Infrastructure, Large Language Models, 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-denver-co-usa-58882579

## About the Role

Experteer Overview As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will translate client needs into AI-enabled security solutions and lead hands-on delivery. You will architect, build, and deploy production-grade systems, guiding teams and shaping pursuits with reusable accelerators. This role sits at the crossroads of client engagement and delivery, driving high-quality outcomes and measurable impact for clients. Join a team focused on strengthening identity, access, and data protection in a rapidly evolving threat landscape. Compensation / Benefits * Translate client business needs and privacy requirements into AI-enabled technical solutions aligned to target architecture * Lead design, integration, deployment, and operation of production-grade solutions, troubleshooting issues within scope * Shape technical solutions during pursuits with demos, PoCs, prototypes, estimates, and pricing inputs * Oversee scope, timelines, quality, and customer aaaaaa
157322 across engagements, driving continuous improvement * Develop team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 5+ years in Digital Trust & Privacy domains such as IGA, WAM, PAM, PKI, Directories, or Data Protection * 3+ years translating requirements into target-state architectures using APIs, microservices, event-driven or serverless patterns * 3+ years building and deploying production-grade solutions with 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 or deploying generative AI/LLM solutions in a client or production environment * Ability to travel 25-50% and participate in recruitment process Key requirements *

## Description

Experteer Overview As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will translate client needs into AI-enabled security solutions and lead hands-on delivery. You will architect, build, and deploy production-grade systems, guiding teams and shaping pursuits with reusable accelerators. This role sits at the crossroads of client engagement and delivery, driving high-quality outcomes and measurable impact for clients. Join a team focused on strengthening identity, access, and data protection in a rapidly evolving threat landscape. Compensation / Benefits * Translate client business needs and privacy requirements into AI-enabled technical solutions aligned to target architecture * Lead design, integration, deployment, and operation of production-grade solutions, troubleshooting issues within scope * Shape technical solutions during pursuits with demos, PoCs, prototypes, estimates, and pricing inputs * Oversee scope, timelines, quality, and customer satisfaction across engagements, driving continuous improvement * Develop team capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 5+ years in Digital Trust & Privacy domains such as IGA, WAM, PAM, PKI, Directories, or Data Protection * 3+ years translating requirements into target-state architectures using APIs, microservices, event-driven or serverless patterns * 3+ years building and deploying production-grade solutions with 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 or deploying generative AI/LLM solutions in a client or production environment * Ability to travel 25-50% and participate in recruitment process Key requirements *


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