AI Datacenter & Infrastructure Consultant

Position Summary

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.

• 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.

• 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.