AI Datacenter & Infrastructure Consultant

• 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.

The Team

Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.

• 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. 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.