Lead Artificial Intelligence Solutions Consultant – Enterprise AI Infrastructure

Role Overview

• Define and drive the product vision and roadmap for enterprise AI infrastructure across hybrid on‑premises and cloud environments, ensuring platforms are scalable, reliable, secure, and cost‑effective.
• Own shared AI platform capabilities end‑to‑end, partnering closely with infrastructure, cloud, and engineering teams to deliver solutions that support a wide range of AI and advanced analytics workloads.
• Translate business needs, operational priorities, and regulatory considerations into clear product goals, features, and success measures, balancing performance, reliability, security, and financial efficiency.
• Collaborate with risk, security, architecture, and line‑of‑business stakeholders to enable well‑governed, production‑ready AI solutions while managing cross‑team dependencies and execution risks.
• Influence stakeholders across the organization, provide strategic direction, and mentor team members contributing to complex, enterprise‑scale initiatives.
• Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business.
• Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges.
• Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits.
• Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions.
• Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders.
• Resolve issues which may arise during development or implementation.
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals.

Requirements

• 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of hands‑on product ownership experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift

Tech Stack

• Azure
• Cloud
• Docker
• Google Cloud Platform
• Kubernetes
• OpenShift

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement