Sr. Staff Consultant - AI​/ML

** Hungry, Humble, Honest, with Heart.*
* ** The Opportunity*
* Are you a passionate innovator with a strong background in AI/ML infrastructure, excellent client-facing communication skills, and a relentless drive to solve complex problems? If so, joining our Professional Services team at Nutanix means becoming part of a dynamic organization recognized for its commitment to delivering exceptional solutions, where you'll collaborate with talented professionals to advance groundbreaking technologies and make a tangible impact on client success.

** About the Team*
* At Nutanix, you'll be joining the Professional Services team, a diverse and talented group of professionals located across the AMER, EMEA, and APAC regions. This team prides itself on delivering exceptional service and tailored solutions to clients, ensuring that their specific IT infrastructure challenges are met with innovative strategies and state-of-the-art technologies.

Our commitment to excellence is reflected in our recognition as a North Face Service Award winner for an impressive 10 consecutive years, highlighting not only our dedication to client satisfaction but also our reputation for delivering outstanding results globally.

You will report to the Manager of Resident Consultants, who guides the team with a focus on collaboration, innovation, and excellence in service delivery. The work setup is predominantly remote, allowing for flexibility while fostering a strong virtual connection among team members. While most of your work will be conducted from your home office, there may be an expectation of in-office attendance on certain occasions, which is determined on a case-by-case basis.

Additionally, be prepared for travel requirements of up to 30% as you engage with clients and participate in on-site activities, further enriching your role and contributing to our mission of delivering unparalleled service.

** Your Role*
* + 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, evidenced by successful deployments and positive feedback.

** What You Will Bring*
* + 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 problem-solving, analytical, and troubleshooting abilities.

+ Proven ability to work independently in a dynamic, customer-facing environment.

+ Active Top Secret Clearance is a strong plus.

+

Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.

** Work Arrangement*
* Remote:
This position is primarily remote. There is no specific in-office requirement, however, there may be circumstances where you may be required to come into a local…