> Markdown version of [/jobs/ext/2016003-cyber-identity-fde-senior-consultant-senior-engineering-management-specialist](https://www.wearedevelopers.com/jobs/ext/2016003-cyber-identity-fde-senior-consultant-senior-engineering-management-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist - **Company:** Deloitte T.T.L. - **Location:** McLean, VA, 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, 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-mclean-va-usa-58882561 ## About the Role Experteer Overview In this role, you help clients solve identity, access, and data protection challenges through AI-enabled engineering. You'll bridge client engagement with hands-on delivery, leading teams and shaping production-grade solutions. You'll develop reusable accelerators and drive high-quality outcomes for clients. This position combines technical execution with pursuit leadership in a dynamic, cross-functional environment. Compensation / Benefits * Translate client needs into AI-enabled target architectures and delivery plans * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demos, proofs of concept, and effort estimation * Oversee client delivery scope, timelines, quality, and satisfaction; foster continuous improvement * Build team and client capability via reusable accelerators, documentation, and knowledge transfer Tasks * 5+ years in Digital Trust & Privacy aa (IGA, (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ years translating requirements into target-state architectures (REST APIs, microservices, event-driven, or serverless) * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ year 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 * ## Description Experteer Overview In this role, you help clients solve identity, access, and data protection challenges through AI-enabled engineering. You'll bridge client engagement with hands-on delivery, leading teams and shaping production-grade solutions. You'll develop reusable accelerators and drive high-quality outcomes for clients. This position combines technical execution with pursuit leadership in a dynamic, cross-functional environment. Compensation / Benefits * Translate client needs into AI-enabled target architectures and delivery plans * Lead design, integration, deployment, and operation of production-grade solutions; troubleshoot issues * Shape technical solutions during pursuits through demos, proofs of concept, and effort estimation * Oversee client delivery scope, timelines, quality, and satisfaction; foster continuous improvement * Build team and client capability via reusable accelerators, documentation, and knowledge transfer Tasks * 5+ years in Digital Trust & Privacy domains (IGA, WAM, PAM, PKI, Directories, or Data Protection) * 3+ years translating requirements into target-state architectures (REST APIs, microservices, event-driven, or serverless) * 3+ years building and deploying production-grade solutions using Python, Java, or Node.js * 1+ year 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 * ## Related Videos - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) - [Stop using Node.js like in 2020! 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