Position Summary
Edge Architect
Join our AI & Engineering team in transforming technology platforms, driving innovation, and making a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions will help clients improve financial performance, accelerate digital ventures, and fuel growth through innovation.
AI & Engineering leverages advanced capabilities to deliver sector solutions in software, data, AI, network, and hybrid cloud infrastructure—modernizing mission-critical operations for client advantage. Our solutions keep clients on the leading edge by transforming engineering teams and technology platforms to keep pace with rapid industry shifts.
As a Manager/Specialist Master at Deloitte Consulting, you will be responsible for delivering high-quality, end-to-end solutions enabling edge infrastructure across design, architecture, dimensioning, BOM, provisioning, and operations for clients. You will mentor and lead a team of engineers to deliver these solutions within defined timelines and agile methodologies. Additionally, you'll lead the development of new solution capabilities, proof-of-concept solutions, architecture blueprints, and sales support materials.
Recruiting for this role ends on 12/15/2025.
Work You’ll Do
- Edge Design & Architecture: Define edge system specs, logical/deployment architectures, and integration patterns for distributed environments including AI Infra clusters using infra providers such as NVIDIA and AMD, Hybrid Deployment with CSPs, Edge AI cluster enablement
- Edge Dimensioning & BOM: Perform resource sizing, capacity planning, and generate detailed Bill of Materials for edge infrastructure.
- Edge Configuration & Setup: Configure, provision, and onboard edge devices/platforms, ensuring compliance with network/security standards.
- Edge Implementation: Experience with High Performance Computing, GenAI enablement, AI/ML InfraOps and Infra workflow automation and Edge platforms such as NVIDIA EGX/Jetson (NVIDIA stack), AWS for the Edge, Google Distributed Cloud Edge
- Edge Management & Automation: Implement automated workflows for edge operations; deploy and operate ServiceNow Data Center Infrastructure Management (DCIM) module for full-stack physical infrastructure observability, capacity planning, asset lifecycle management, environmental monitoring, and workflow automation across data center and distributed edge environments.
- Application Deployment: Orchestrate and manage containerized and non-containerized app deployments across edge nodes, ensuring high availability/performance.
- Next-Gen Edge Networking: Design and implement advanced edge networking solutions using Nvidia Spectrum-X switches and InfiniBand, enabling high-performance, low-latency, and scalable network fabrics for AI, ML, and real-time analytics workloads.
- Edge Security: Enforce physical/data security controls—device hardening, encryption, access management, and continuous threat monitoring at the edge.
- Collaboration: Work closely with cross-functional teams including developers, security specialists, and network engineers.
- Troubleshooting: Diagnose and resolve complex technical issues.
- Documentation: Maintain comprehensive documentation of edge infrastructure designs and processes.
- Mentorship: Train and mentor junior team members on edge/cloud computing technologies and best practices.
The Team
Our Hybrid Cloud Infrastructure/Connected Edge team delivers specialized engineering to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from core to edge—enabling clients to adopt the latest technology, including advanced AI and accelerated networking stacks.
Required Qualifications
- 8+ years’ experience with cloud platforms (AWS, Azure, or Google Cloud)
- Proven expertise deploying, configuring, and managing edge orchestration platforms from one of the following hyperscalers (AWS Greengrass, Wavelength, Outposts; Google Distributed Cloud Edge; Azure IoT Edge)
- Experience integrating/operating third-party edge management solutions (e.g., HPE GreenLake, Zededa) for distributed edge environments
- Hands-on experience with ServiceNow DCIM module implementation—data center asset management, infrastructure discovery, environmental monitoring, and workflow automation
- Ability to automate application deployment, lifecycle management, and policy enforcement across heterogeneous edge nodes using these platforms
- Understanding of edge hardware architecture—including component selection, system sizing, and network topology using CSP-provided/vendor-specific hardware (e.g., Dell EMC, HPE, Lenovo)
- Experience with edge networking using Nvidia Spectrum-X switches and InfiniBand—architecture, installation, configuration, and operational troubleshooting for high-performance, low-latency fabric
- Physical installation/configuration/onboarding of edge devices, including BIOS/firmware setup, HSM integration, and connectivity with cloud/on-prem management systems
- Familiarity with hardware provisioning tools and remote management interfaces (iDRAC, iLO), and best practices for device hardening/resilience
- Over 5 years' experience with Infrastructure as Code tools like Terraform
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the US without the need for employer sponsorship, now or at any time in the future
- Bachelor’s degree
Preferred Qualifications
- Strong analytical/troubleshooting skills for client-specific challenges
- Experience with advanced edge networking architectures, configuration, and tuning on Nvidia platforms—Spectrum-X, InfiniBand, and accelerated AI/ML/appliance ecosystems
- Experience deploying and customizing ServiceNow DCIM integrations with edge/cloud/AI platforms
- Strong adaptability to changing client requirements and emerging innovations
- Demonstrated client project leadership and delivery
- Understanding of business processes/technical alignment with client goals
- Familiarity with virtualization technologies (VMware, Hyper-V, KVM)
- Knowledge of identity/access management, encryption, and compliance
- Proficiency in CI/CD toolchains (Jenkins, GitLab/GitHub, Harness)
- Experience with monitoring/logging tools (Stackdriver, Prometheus, Dynatrace, Datadog, ELK or similar)
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $253,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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