Senior AI DevOps Engineer

Who are we?

Job Summary

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.

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

• 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

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  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

  
  
  
  

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  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

  
  
  
  

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  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

  
  
  
  

This posting is a new position within our organization.

The targeted pay range for this position in the following location is / locations are:

United States - Redwood City Office GHQ : 142,000 - 212,000 USD / Annual

United States - Chicago Office CHO1 : 130,000 - 194,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program: An Employee Assistance program is available to all employees.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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