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

- **Company:** Deloitte T.T.L.
- **Location:** San Antonio, TX, 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, Software Deployment, 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-san-antonio-tx-usa-58882570

## About the Role

Experteer Overview As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients address identity, access, and data protection challenges with AI-enabled engineering solutions. You will lead hands-on delivery while shaping technical solutions and driving high-quality outcomes for clients and teams. You will mentor others, develop reusable accelerators, and contribute to pursuits from concept through production deployment. This role blends client engagement with technical execution in a fast-paced, transformative environment. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead design, integration, deployment, and operation of production-grade solutions, including troubleshooting * Shape technical solutions during pursuits through demos, proofs of concept, prototypes, effort estimation, and pricing inputs * Manage client delivery across scope, timelines, a
pricing and customer satisfaction * Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating client requirements into target-state architectures (REST, microservices, event-driven, or serverless) * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in client or production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * discretionary annual incentive program

## Description

Experteer Overview As a Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients address identity, access, and data protection challenges with AI-enabled engineering solutions. You will lead hands-on delivery while shaping technical solutions and driving high-quality outcomes for clients and teams. You will mentor others, develop reusable accelerators, and contribute to pursuits from concept through production deployment. This role blends client engagement with technical execution in a fast-paced, transformative environment. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to target architecture and delivery objectives * Lead design, integration, deployment, and operation of production-grade solutions, including troubleshooting * Shape technical solutions during pursuits through demos, proofs of concept, prototypes, effort estimation, and pricing inputs * Manage client delivery across scope, timelines, quality, and customer satisfaction * Build team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices Tasks * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating client requirements into target-state architectures (REST, microservices, event-driven, or serverless) * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ years delivering solutions on AWS, Azure, or GCP with containers, CI/CD, and version control * 6-12 months designing or deploying generative AI/LLM solutions in client or production environments * Ability to travel 25-50% * Limited immigration sponsorship may be available Key requirements * discretionary annual incentive program


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