Senior AI DevOps Engineer

Equinix•Redwood City, CA

2d•$130,000 - $212,000•Onsite

About The Position

The Senior AI DevOps Engineer in Global Value Advisory team at Equinix is a specialized pre sales individual contributor role that is responsible for supporting the development and delivery of technical PoCs with customers and technology partners, creation of demos and architectural blueprints, doing quantitative performance studies, writing technical whitepapers, and doing presentations and workshops to customers that demonstrate the value of Equinix. The ideal candidate has a builder mindset who leverages AI coding tools to build solutions. This person needs to have high hands-on dexterity in building, measuring and deploying complex distributed solutions that consist of components from multiple service providers. They need to have solid background in networking, data and AI technologies. We are looking for a person who is self-motivated and keeps abreast of fast-moving technological changes and has an innovative and problem-solving mindset in an environment where constant change is the norm. We need a team-first person because in this job one must constantly collaborate with internal teams, customers and partners.

Requirements

3+ Years experience in deploying AI solutions
5+ Years experience in customer facing solution engineering environment
Advanced level skills in AI and Cloud technologies
Basic/Medium level skills in networking technologies
BSc or MSc degree in Computer Science
Technologies include AI Technologies: Advanced Hands-On experience leveraging the following: AI Gateway technologies like LiteLLM Agentic AI Platforms like LangChain/LangFlow/LangGraph AI OS like OpenClaw/NemoClaw NVIDIA RunAI/MissionControl Vector/Graph DB, Delta-sharing, RAG solutions MCP/A2A Protocol Inferencing technologies like vLLM and Ollama End to End AI solution deployment life cycle
Networking Technologies: Basic/Medium understanding of Networking technologies: L3 Technologies - OSPF, BGP, IS-IS, IPv4, IPv6, Multicast L2 Technologies - Ethernet, VLAN, VXLAN Network platforms like Firewalls, Loadbalancers, SD-WANs, DDoS
Cloud and Virtualization Technologies: Advanced hands-on experience leveraging: Docker container technology Cloud AI platforms like Sagemaker, Vertex AI, Azure AI Foundry Cloud storage/data platforms like S3, BigQuery, Redshift Serverless Platforms Google CloudRun, AWS Lambda

Responsibilities

Create and validate AI solution demos and blueprints with internal product team and partners
Helps sales team with customer meetings and workshops
Research, evaluate and stay ahead of emerging tools, techniques and technologies
Provide technical support for new product initiatives through participation beta testing of new solutions
Identify, develop, update and implement standards and procedures
Conduct quantitative experiments and write technical white papers
Work with staff members in the CRO, GMPO, and CDIO organizations on system infrastructure problems, technical concerns
Meet with technical sales team members to convert customer requirements into a technical Statement of Work.
Create Proofs of Concepts that integrate the Equinix product suite into customer solutions.
Looking for a hands-on person who can stitch together reference architectures and solutions.
Help with internal training of technical staff on emerging technologies