Senior Staff AI Platform Engineer - Agent Systems

Equinix; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Equinix is expanding its AI engineering capability with Staff and Senior Staff roles to build agents and the platform they run on. You will design, ship, evaluate, and harden production agents that partners trust with real delivery work, beyond just code.

You will drive architecture, scale, and reliability across a global organization, while maintaining security and privacy by design. Equinix offers a collaborative, growth-oriented environment with a startup-like tempo and enterprise reach.

Qualifications

• 6+ years (Staff) or 9+ years (Senior Staff) of professional software engineering experience.
• Hands-on experience building LLM-powered applications or agents: prompt and context engineering, tool calling, retrieval, or multi-agent workflows.
• Experience designing evaluations for AI systems, or strong test-engineering instincts you are eager to apply to non-deterministic software.
• Strong proficiency in Python or TypeScript, plus solid API, microservices, and event-driven architecture skills.
• Fluency with modern engineering practice: Git, automated testing, CI/CD, observability, and cloud platforms.
• Sound judgment about when to trust automation and when to demand human review, and the communication skills to explain that reasoning.

Responsibilities

• 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.
• 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.

Skills

LLM-powered applications

Python

TypeScript

API design

Microservices

Event-driven architecture

Git

CI/CD

Observability

Security by design

Automation

Tools

Jira

GitHub

ServiceNow

Job description

Equinix is expanding its AI engineering capability with Staff and Senior Staff roles to build agents and the platform they run on. You will design, ship, evaluate, and harden production agents that partners trust with real delivery work, beyond just code.

You will drive architecture, scale, and reliability across a global organization, while maintaining security and privacy by design. Equinix offers a collaborative, growth-oriented environment with a startup-like tempo and enterprise reach.