Job Details

Senior Requirements Engineer For Ai Agents & Agentic Workflows

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 barriersbecause progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes youbecause when you feel valued, you're empowered to do your best work.

Job Summary

The senior requirements engineer for ai agents & agentic workflows is a critical role within the developer experience program (edp), responsible for defining and shaping the requirements for equinix's most forward-looking developer productivity investments. You will own the requirements for an agentic execution framework, claude code platform integration, an ai agent registry, and a low-code agent build platform. This role sits at the intersection of developer experience, ai/ml platform engineering, and product strategy. You will translate ambiguous, high-impact goalslike reducing pr cycle time by 50% and achieving a 50% developer productivity gaininto precise, actionable requirements that engineering teams can build against. You will work and partner closely with platform engineering, compliance, governance, and ai platform teams.

Responsibilities

• Design and build the agentic execution framework: event bus integration, agent scaffolding, human-in-the-loop approval queues, retry and error handling, and end-to-end execution traceability
• Implement claude code platform-native integrations: ci failure triage agent, pr assist agent, unit test generation agent, and the "what should i work on?" developer portal surface
• Build and maintain the ai agent registry: catalog service, agent metadata schema, discovery apis, trust boundary enforcement, versioning, and lifecycle management
• Develop the agent build platform: a low-code, ui graph-based workflow builder that enables developers without deep agentic knowledge to compose and deploy production-ready agentic workflows
• Implement agent integration connectors into delivery pipelines, incident management systems, and policy enforcement layers to automate manual handoffs and reduce developer toil
• Build scoped permission models, execution isolation environments, audit logging, and human-in-the-loop guardrails to ensure agents operate safely within enterprise governance boundaries
• Instrument all agentic systems with observability hookslogs, metrics, tracesand integrate with the unified observability platform
• Write clean, well-tested, production-grade code with high coverage; own your services from development through deployment and on-call
• Participate in architecture design reviews, contribute to engineering standards, and help define patterns that other teams can follow when building agentic systems
• Continuously measure impact against developer productivity metricspr cycle time, time to first commit, deployment frequencyand iterate based on data

Technical Requirements

• Strong proficiency in one or more backend languagesgo, python, java, or typescriptwith demonstrable experience building event-driven or distributed systems in production
• Hands-on experience building with llm apis and agentic frameworks: langchain, langgraph, autogen, crewai, amazon bedrock agents, or equivalents
• Experience integrating with github apis, github actions, and ci/cd pipeline systemsbuilding bots, automation workflows, or developer tooling on top of these platforms
• Practical knowledge of event streaming and messaging systems: kafka, eventbridge, rabbitmq, or equivalentsable to design reliable, observable event-driven pipelines
• Experience building and consuming rest and graphql apis; comfortable designing service contracts and integration schemas
• Familiarity with workflow orchestration platforms such as temporal, n8nio, prefect, or similar
• Understanding of developer portal frameworks, particularly backstageable to build and publish plugins that surface agentic capabilities in the developer experience layer
• Solid grasp of security patterns relevant to agent systems: non-human identity, scoped permissions, secrets management, least-privilege execution, and audit trails
• Experience with containerized workloads and kubernetesable to deploy, operate, and scale agent services in a cloud-native environment
• Proficiency with observability tooling: structured logging, metrics instrumentation (prometheus/grafana), and distributed tracing (opentelemetry)

Qualifications

• 7+ years of software engineering experience, with at least 2 years focused on platform engineering, developer tooling, or ai/ml systems in a production environment
• Demonstrated experience shipping agentic or llm-powered systems at scalenot just prototypes, but production services with reliability, governance, and observability requirements
• Strong track record of building internal developer platforms, developer portals, or self-service tooling used by large engineering organizations
• Experience working in large, matrixed engineering environmentscomfortable navigating dependencies across security, platform, compliance, and application engineering teams
• Ability to operate with autonomy on ambiguous, greenfield engineering challenges where the patterns are still being defined
• Strong written and verbal communication skillsable to document architecture decisions, write clear technical specs, and engage productively with product and business stakeholders
• Bachelor's degree in computer science, engineering, or a related field; equivalent practical experience accepted