Cyber Identity - FDE Senior Consultant - Senior Engineering Management Specialist

Experteer Overview In this Senior Consultant role, you will bridge client needs and AI-enabled tech to deliver production-grade Digital Trust & Privacy solutions. You’ll lead hands-on delivery, architecting and deploying secure, scalable systems while shaping pursuits with demonstrations and proofs-of-concept. You’ll manage client engagements, drive continuous improvement, and build reusable accelerators and best practices. This role sits at the intersection of client work and delivery, offering meaningful impact through AI-driven cyber services. Compensation / Benefits * Translate client needs into AI-enabled technical solutions aligned to architecture and delivery goals * Lead hands-on design, integration, deployment, and operation of production-grade solutions * Shape technical solutions during pursuits via demos, PoCs, prototypes, and effort estimation * Manage client delivery including scope, timelines, quality, and customer satisfaction * Develop team capability and reusable accelerators through documentation and knowledge transfer Tasks * Bachelor’s degree or equivalent experience in relevant field * 5+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 3+ years building and 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 * 6-12 months designing or deploying generative AI/LLM solutions in production * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *

technical through documentation and knowledge transfer Tasks * Bachelor’s degree or equivalent experience in relevant field * 5+ years in Digital Trust & Privacy domains (e.g., IGA, WAM, PAM, PKI, Directories, Data Protection) * 3+ years translating requirements into target-state architectures (APIs, microservices, event-driven, serverless) * 3+ years building and 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 * 6-12 months designing or deploying generative AI/LLM solutions in production * Willingness to travel 25-50% * Limited immigration sponsorship may be available Key requirements *