Senior Requirements Engineer For Ai Agents & Agentic WorkflowsEquinix 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.Job SummaryThe 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 goals—like reducing pr cycle time by 50% and achieving a 50% developer productivity gain—into precise, actionable requirements that engineering teams can build against.
You will work and partner closely with platform engineering, compliance, governance, and ai platform teams.ResponsibilitiesDesign 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 traceabilityImplement 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 surfaceBuild and maintain the ai agent registry: catalog service, agent metadata schema, discovery apis, trust boundary enforcement, versioning, and lifecycle managementDevelop 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 workflowsImplement agent integration connectors into delivery pipelines, incident management systems, and policy enforcement layers to automate manual handoffs and reduce developer toilBuild scoped permission models, execution isolation environments, audit logging, and human-in-the-loop guardrails to ensure agents operate safely within enterprise governance boundariesInstrument all agentic systems with observability hooks—logs, metrics, traces—and integrate with the unified observability platformWrite clean, well-tested, production-grade code with high coverage; own your services from development through deployment and on-callParticipate in architecture design reviews, contribute to engineering standards, and help define patterns that other teams can follow when building agentic systemsContinuously measure impact against developer productivity metrics—pr cycle time, time to first commit, deployment frequency—and iterate based on dataTechnical RequirementsStrong proficiency in one or more backend languages—go, python, java, or typescript—with demonstrable experience building event-driven or distributed systems in productionHands-on experience building with llm apis and agentic frameworks: langchain, langgraph, autogen, crewai, amazon bedrock agents, or equivalentsExperience integrating with github apis, github actions, and ci/cd pipeline systems—building bots, automation workflows, or developer tooling on top of these platformsPractical knowledge of event streaming and messaging systems: kafka, eventbridge, rabbitmq, or equivalents—able to design reliable, observable event-driven pipelinesExperience building and consuming rest and graphql apis; comfortable designing service contracts and integration schemasFamiliarity with workflow orchestration platforms such as temporal, n8nio, prefect, or similarUnderstanding of developer portal frameworks, particularly backstage—able to build and publish plugins that surface agentic capabilities in the developer experience layerSolid grasp of security patterns relevant to agent systems: non-human identity, scoped permissions, secrets management, least-privilege execution, and audit trailsExperience with containerized workloads and kubernetes—able to deploy, operate, and scale agent services in a cloud-native environmentProficiency with observability tooling: structured logging, metrics instrumentation (prometheus/grafana), and distributed tracing (opentelemetry)Qualifications7+ years of software engineering experience, with at least 2 years focused on platform engineering, developer tooling, or ai/ml systems in a production environmentDemonstrated experience shipping agentic or llm-powered systems at scale—not just prototypes, but production services with reliability, governance, and observability requirementsStrong track record of building internal developer platforms, developer portals, or self-service tooling used by large engineering organizationsExperience working in large, matrixed engineering environments—comfortable navigating dependencies across security, platform, compliance, and application engineering teamsAbility to operate with autonomy on ambiguous, greenfield engineering challenges where the patterns are still being definedStrong written and verbal communication skills—able to document architecture decisions, write clear technical specs, and engage productively with product and business stakeholdersBachelor's degree in computer science, engineering, or a related field; equivalent practical experience accepted