Sr. Staff Consultant - AI/ML

Position Overview

At Nutanix, join a dynamic, award-winning Professional Services team known for its commitment to excellence. In this role, you will drive innovation in AI/ML infrastructure by designing scalable solutions on Nutanix HCI platforms, collaborating across global teams, and engaging directly with clients to optimize next‐generation IT environments. Enjoy a primarily remote work arrangement, with occasional in-office attendance and travel (up to 30%), while reporting to the Manager of Resident Consultants.

Key Responsibilities

• Design and implement scalable AI/ML infrastructure solutions on Nutanix HCI platforms, tailored to customer requirements.
• Advise clients on best practices for configuring Kubernetes for efficient management of AI/ML workloads.
• Collaborate with cross-functional teams to align infrastructure capabilities with client AI/ML initiatives and strategies.
• Develop and maintain documentation for solution configurations, deployment guides, and knowledge-sharing resources.
• Monitor and optimize infrastructure performance, ensuring high availability and resource efficiency for AI model execution.
• Act as a subject matter expert, providing guidance on GPU acceleration technologies and their integration in AI workflows.
• Engage with clients to troubleshoot issues and provide ongoing support for their AI/ML infrastructures.
• Achieve measurable improvements in client satisfaction and project outcomes within the first year through successful deployments and positive feedback.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5+ years of experience in designing and implementing infrastructure for data-intensive or AI/ML workloads.
• Strong expertise in container orchestration with Kubernetes.
• Knowledge of deployment lifecycle and resource requirements for AI/ML models, including LLM inference.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Experience with GPU acceleration technologies (e.g., NVIDIA CUDA) in containerized environments.
• Familiarity with monitoring tools such as Prometheus and Grafana.
• Exceptional communication and problem-solving skills with a client-focused mindset.
• Excellent client-facing communication, presentation, and collaboration skills.
• Strong analytical and troubleshooting abilities with a proven ability to work independently in dynamic, customer-facing environments.
• Active Top Secret Clearance is a strong plus.
• Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.

Benefits & Perks

• Compensation: Expected base pay between USD $160,000 and USD $272,400 per year, with adjustments based on market factors and individual qualifications.
• Potential additions such as a sign-on bonus, restricted stock units, and discretionary awards.
• Comprehensive benefits including a full range of medical, financial, and other benefits, 401(k) eligibility, and various paid time off options (vacation, sick time, and parental leave).
• Remote working flexibility with occasional in-office attendance based on business needs.
• Opportunities for professional travel up to 30%, enhancing client engagement and career growth.