AI Datacenter Associate VP
Not Disclosed•Full-TimeOn-site
location_onEast 8th Street, Central Business District KC, Kansas City, Jackson County, Missouri, 64106, United States
Our AI & Engineering team leverages innovative engineering capabilities to build, deploy, and operate integrated sector solutions in software, data, AI, network, and hybrid cloud infrastructure. We transform mission-critical operations by modernizing technology and data platforms, enabling clients to stay ahead with the latest advancements. Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments, modernizing networks and AI infrastructure from the core to the edge.
As an AI Datacenter & Infrastructure Associate VP, you will join a team dedicated to transforming technology platforms and driving innovation to make a significant impact on our clients' success. You will collaborate with talented professionals to reimagine and re-engineer operations critical to business, helping clients improve financial performance and accelerate new digital ventures.
In this role, you will drive the strategy and delivery of AI-centric datacenter transformations, leading the end-to-end planning, design, and execution of complex infrastructure projects. You will serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities. Your contributions will involve overseeing multi-disciplinary project teams, building and growing the AI Datacenter practice, and advancing thought leadership by representing the firm at industry events.
You will champion a culture of continuous innovation, fostering learning and excellence within the team while ensuring high-quality project delivery and client satisfaction. This position requires a unique blend of technical expertise and executive presence to manage multi-million-dollar transformation portfolios and develop market expansion strategies.
Recruiting for this role ends on 06/26/2026. Qualified candidates are encouraged to apply to be considered for this opportunity.
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, in accordance with applicable law.
Work model: On-site
East 8th Street, Central Business District KC, Kansas City, Jackson County, Missouri, 64106, United States
Kansas City, Missouri
Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics). Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments. Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios. Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Ability to make and meet commitments on a tight timeline with right-sized scoping on 'must haves' to realize customer wins. High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth. 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.
Raft • Washington, District of Columbia
Capital One • New York, New York
Cisco • Seattle, Washington
Skills: Kubernetes, Kubeflow, Data Fabric, Edge Inference, Hybrid Cloud, Itsm, Servicenow, Infrastructure As Code, Terraform, Ansible.
Education: Bachelor's Degree or equivalent experience.