Staff ​/ Senior Staff Engineer, AI Agent Engineering

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 tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Most engineering roles now come with AI tools. This one comes with a mission. Equinix Incubation builds the agentic systems that run the software delivery lifecycle end to end: from intake and business case through design, code, test, release, and value tracking, with humans directing the work and owning every gate.

We are hiring Staff and Senior Staff Engineers to build those agents and the platform they run on. You will not just use AI to code faster. You will design, ship, evaluate, and harden production agents that colleagues across a global organization trust with real delivery work. Your agents will write software; your engineering decides what ships.

Build Production AI Agents

• Design, build, and ship LLM-powered agents that execute real lifecycle work: intake triage, estimation, requirements, technical design, coding, testing, release, and operations
• Engineer the scaffolding that makes agents dependable: tool use via MCP, agent-to-agent handoffs (A2A), event-driven orchestration, and deep Jira and enterprise system integration
• Build on Equinix's enterprise AI platform: AI gateway, orchestration, audit, and access control, with security and privacy by design

Make Agents Trustworthy:
Evals, Guardrails, Gates

• Design and automate eval suites that measure agent output quality on every change, and make passing evals the release gate for agents
• Define guardrails, human-in-the-loop approval points, review thresholds, and escalation paths, so agent autonomy is earned, not assumed
• Instrument agent behavior end to end (quality, latency, cost, adoption), find failure patterns, and tune prompts, context, and configurations until the numbers move

Engineer Context and Knowledge

• Build the knowledge layers agents depend on: retrieval over process libraries, decision histories, code, and delivery data
• Establish reusable prompt patterns, context standards, and agent configurations that other teams adopt
• Own agents through their full lifecycle: instructions, context freshness, performance monitoring, feedback, and retirement

Ship the Platform and Raise the Bar

• Contribute to the orchestrator, persona consoles, and dashboards that keep humans in command of agent-led delivery
• Dogfood relentlessly: use agents to build agent systems, and feed what you learn back into the platform
• Bring strong engineering craft. The fundamentals still decide whether this works: architecture, code quality, testing, CI/CD, and cloud-native design

• Agents you built are doing live delivery work, with measurable cycle-time and quality gains, and humans confidently in control
• Your eval suites are the reason people trust agent output; “passes evals” means something because you made it mean something
• Your context patterns, guardrails, and agent standards are reused by teams you have never met
• You can explain to an executive, in plain language, what an agent did, why, and how you know
• The platform gets simpler, faster, and cheaper as it scales, because you treat agent cost and reliability as engineering problems

• Staff:
  You deliver complete agents and platform components within established patterns, own their evals and quality end to end, and are the dependable engine of your pod
• Senior Staff:
  You set the patterns. You take the hardest, most ambiguous problems (orchestration, eval design, agent reliability at scale), define the standards others follow, and multiply the team

• 6+ years (Staff) or 9+ years (Senior Staff) of professional software engineering experience, with a record of shipping and operating production systems
• Hands-on experience…