What are the responsibilities and job description for the US E-Consulting Services-AI Datacenter & Infrastructure - Consultant - TC FY26 position at Deloitte US?
AI Datacenter & Infrastructure Consultant-AI & Engineering
Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Recruiting for this role ends on 04/28/2026.
Work you’ll do
- Design, implement, and optimize AI-driven datacenter solutions: Collaborate with clients to architect infrastructure that supports scalable, high-performance AI workloads, leveraging both cloud and on-premises technologies.
- Lead project delivery and solution deployment: Oversee end-to-end project management for infrastructure transformations, ensuring milestones and deliverables align with client objectives and timelines.
- Advise clients and project leadership on AI infrastructure best practices: Provide guidance on architecture choices, data management, systems integration, and emerging technologies to enable high-availability, secure, and cost-effective environments.
- Conduct assessments and develop roadmaps: Evaluate existing datacenter infrastructures and hosting landscapes, identify opportunities for modernization or automation, and develop actionable plans for migration or enhancement.
- Collaborate across disciplines: Partner with data scientists, cloud architects, cybersecurity experts, and client stakeholders to integrate AI capabilities into broader IT landscapes.
- Demonstrate technical leadership: Facilitate knowledge sharing and contribute to the development of reusable solution assets and accelerators.
- Stay ahead of trends: Continuously develop your expertise in AI, edge computing, hybrid cloud strategies, and automation tools to bring cutting-edge insights to our clients.
Required
- 2 years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
- 1 years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters
- 2 years of experience in project management, including planning, organizing, and delivering complex infrastructure projects; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
- 2 years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
- 2 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.
- 2 years of experience modernizing and adapting datacenter environments to align with clients’ specific requirements, enabling successful execution of tailored AI strategies
- Bachelor's Degree
- Ability to travel 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
- Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
- 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, including executives
- 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.