AI Architect Nvidia Specialist Master

Job description

AI Architect - Nvidia - Specialist MasterIn this global Hybrid Cloud Infrastructure Architect role, you will be responsible for the technical strategy, architecture, design, and development of a Deloitte-branded AI Platform.

The role will involve extensive interaction with end-customer, CXO level technical leaders in communicating our value proposition and lead hands-on workshops for defining the customer solution, benchmarking, POC and deployment plan.

You will lead hands-on workshops for defining customer solutions, benchmarking, POC, and deployment plans, and play a key role in shaping go-to-market strategies for the AI platform.
The development and delivery of this offering involves forging and driving deep partnerships with leading ecosystem partners for accelerated computing, data, storage, and cybersecurity.

Given the rapidly evolving technology landscape, you will also leverage an R&D sandbox to evaluate highly differentiated and emerging offerings from promising startups that could offer first-mover advantage.
Serving as technology visionaries, our Architects are technology leaders, who are sought after to pioneer our most challenging solutions and architectures.

The Architect uses advanced expertise to manage complex technology projects and support business growth.
Recruiting for this role ends on 10/31
Work You'll Do

+ Architect innovative technology solutions focused on business outcomes, scalability, and sustainability.

+ Minimize delivery risk and ensure system performance across strategic projects.

+ Drive best-practice adoption and relevant technology implementation by project teams.

+ Lead asset design, development, and support asset monetization.

+ Engage with C-suite clients in sales, delivery, and technical pre-sales, shaping proposals and supporting new business.

+ Deliver compelling technical presentations, demos, and proof-of-concept engagements for clients.

+ Contribute to go-to-market strategy and participate in industry events, conferences, and client briefings.

+ Collaborate with ecosystem partners on architecture definition and design for large-scale programs.

+ Maintain professional recognition through thought leadership and tech advisory participation.

+ Partner with business development and account teams to shape strategies and drive revenue.

+ Translate complex technical concepts into clear business value for executive and non-technical audiences.

The TeamThe Connected Edge team within Deloitte's AI & Engineering practice leverages the latest in artificial intelligence, Internet of Things (IoT), and edge computing to help clients unlock the business value of real-time data, intelligent automation, and smarter connected systems.

Our mission is to deliver innovative, scalable solutions that bridge the gap between digital strategy and real-world impact-empowering organizations to operate more efficiently, respond faster to market changes, and create exceptional experiences for customers and stakeholders.
Combining deep technical expertise, industry acumen, and Deloitte's expansive thought leadership in AI, engineering, and analytics, the Connected Edge team works with organizations to:

+ Harness Data at the Source: Capture, analyze, and act on data where it is generated-at the edge of operations-to enable instant insights and faster decision-making.

+ Integrate Smart Technologies: Seamlessly bring together AI, machine learning, IoT devices, and cloud solutions for end-to-end automation and agility.

+ Drive Innovation: Develop real-world solutions that accelerate transformation across sectors such as manufacturing, health, energy, retail, and more.

+ Scale Securely: Build and deploy secure, scalable architectures that support innovation while safeguarding critical assets and data.

Required Qualifications:

+ Minimum 6+ years of hands-on experience architecting, implementing, and optimizing enterprise-scale AI Factories across Nvidia GPU platforms, server hardware (IPMI, firmware, component burn-in, memory, GPU, CPU), and OEM systems (DGX, HPE, Dell, Supermicro) with InfiniBand networking.

+ 5+ years of programming expertise in Python and Shell scripting, with a strong track record in automating infrastructure deployment, management, and operations using Ansible and Terraform-delivering up to 80% efficiency improvements.

+ 5+ years of practical application of network protocols (TCP/IP, SMB, HTTP, NFS, FTP, SNMP, DHCP) demonstrated through design and support of secure, high-performance AI platforms.

+ 3+ years deploying and supporting monitoring solutions such as Prometheus and Grafana for data collection, visualization, and actionable insights in large-scale production environments.

+ Worked with AI/ML frameworks and libraries such as PyTorch and TensorFlow, supporting successful integration and operation of advanced machine learning applications.

+ 4+ years designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.

+ 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 United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications:

+ Ability to make and meet commitments on a tight timeline with right-sized scoping on must haves to realize customer wins.

+ Presentation skills with a high degree of comfort with both large and small audiences.

+ Demonstrated experience driving both the sales cycle and business development efforts by taking the lead in identifying and framing client opportunities, developing account strategies, and leading pursuit teams to create proposal content for client discussions.

+ Experience collaborating with cross-functional teams (Sales, Marketing, Product) to develop and execute market expansion strategies.

+ Proven ability to collaborate with Data Scientists and ML Engineers to understand infrastructure needs and deliver robust, scalable solutions.

Wages + SalaryThe 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 $151,800 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
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Required Skill Profession

Other General