Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks

Senior Staff Machine Learning Engineer, Agentic Systems - MoveworksFull-timeEmployee Type: RegularRegion: AMS - North America and CanadaWork Persona: Required in OfficeCompany DescriptionIt all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.Join us to put AI to work for people.Job DescriptionThe RoleWe're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time. This is not an ML role. This is adistributed systems engineeringrole at the heart of the agentic AI wave.Our AI agents can plan, execute multi-step workflows, call tools, wait on human input, and resume — all while maintaining correctness, observability, and low latency. The systems that make this possible are what you'll build and own.What you get to do in this role:Agent orchestration engine— A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocationsDistributed session management— Lease-based ownership using DynamoDB conditional writes, heartbeat protocols, and crash recovery via checkpointingEvent-driven message pipeline— SQS FIFO queues for ordered delivery, Kafka consumers for event processing, and real-time streaming via gRPC andSocket.IOStructured concurrency— Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellationObservability infrastructure— OpenTelemetry instrumentation, distributed trace context propagation across async boundaries, custom span lifecycle management for sessions that span minutesCaching and state layers— Redis, DynamoDB KV stores with per-org/per-bot scoping, batch read optimization, and hot-reload configurationQualificationsTo be successful in this role you have:You should have deep experience in at least 3 of these areas:Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasingConcurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handlingEvent-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guaranteesDatabase systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub)Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metricsgRPC/protobuf: streaming RPCs, service interface design, error handling patternsRequired:10+ years building production backend/infrastructure systemsStrong in Python or Go (ideally both)Experience designing and operating systems that handle real traffic at scaleComfort with ambiguity — these are novel problems without textbook solutionsFor positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.  Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.  Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.  We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.Additional InformationWork PersonasWe approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.Equal Opportunity EmployerServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.AccommodationsWe strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact[email protected]for assistance.Export Control RegulationsFor positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedPrivacy Notice