Job Summary:
Equinix is the world’s digital infrastructure company®, focused on enabling innovations that enrich work and life. The Senior AI DevOps Engineer will support the development and delivery of technical PoCs, create demos, conduct quantitative performance studies, and collaborate with internal teams and customers to demonstrate the value of Equinix's solutions.
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
Qualifications:
Required:
• 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
• Advanced Hands-On experience leveraging AI Gateway technologies like LiteLLM
• Advanced Hands-On experience leveraging Agentic AI Platforms like LangChain/LangFlow/LangGraph
• Advanced Hands-On experience leveraging AI OS like OpenClaw/NemoClaw
• Advanced Hands-On experience leveraging NVIDIA RunAI/MissionControl
• Advanced Hands-On experience leveraging Vector/Graph DB, Delta-sharing, RAG solutions
• Advanced Hands-On experience leveraging MCP/A2A Protocol
• Advanced Hands-On experience leveraging Inferencing technologies like vLLM and Ollama
• Advanced Hands-On experience leveraging End to End AI solution deployment life cycle
• Basic/Medium understanding of L3 Technologies - OSPF, BGP, IS-IS, IPv4, IPv6, Multicast
• Basic/Medium understanding of L2 Technologies - Ethernet, VLAN, VXLAN
• Basic/Medium understanding of Network platforms like Firewalls, Loadbalancers, SD-WANs, DDoS
• Advanced hands-on experience leveraging Docker container technology
• Advanced hands-on experience leveraging Cloud AI platforms like Sagemaker, Vertex AI, Azure AI Foundry
• Advanced hands-on experience leveraging Cloud storage/data platforms like S3, BigQuery, Redshift
• Advanced hands-on experience leveraging Serverless Platforms Google CloudRun, AWS Lambda
Company:
Equinix is an internet company that provides data center services for companies, businesses, and organizations. Founded in 1998, the company is headquartered in Redwood City, USA, with a team of 10001+ employees. The company is currently Late Stage.