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Senior AI DevOps Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Equinix, Inc.
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 142000 USD Yearly USD 142000.00 YEAR
Job Description & How to Apply Below

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

The Senior AI Dev Ops 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
  • Help 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
  • AI Technologies:
    Advanced Hands‑On experience leveraging the following:
    • AI Gateway technologies like LiteLLM
    • Agentic AI Platforms like Lang Chain/Lang Flow/Lang Graph
    • AI OS like Open Claw/Nemo Claw
    • NVIDIA RunAI/Mission Control
    • 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, Big Query, Redshift
    • Serverless Platforms Google Cloud Run, AWS Lambda
Pay Range

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

United States - Chicago Office CHO1 : 130, 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…

Position Requirements
10+ Years work experience
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