About this role
This role requires a blend of technical expertise, leadership skills, and the ability to foster a collaborative and innovative environment. We are looking for a Project Lead familiar with cloud-native and AI-native development practices. Our software is built around AI at its core—LLMs, agents, and retrieval systems—and runs on IaaS (Google Cloud/AWS/etc.), so familiarity with these environments and their managed AI services is a plus. Full ownership of your code will be encouraged, including deployment, testing, evaluation, and validation of both traditional and AI components. You will lead a team of software and AI engineers, coaching and mentoring them. Familiarity with CI/CD, test-driven development, and evaluation-driven development (eval harnesses for AI features) will be a benefit.
Responsibility Area: Leadership
Manage individual contributors' daily tasksMentor software and AI engineers to ensure high product quality across both deterministic code and AI/model behaviorPerform detailed code reviews, including reviews of prompts, agent logic, and evaluation resultsEvaluate performance, provide feedback and constructive criticism to team membersSet and track quarterly goals for all team membersAssist with training and recruitment activitiesProvide status updates, weekly reports, and issue details to senior leadership as neededParticipate in Root Cause Analysis for customer-reported issues, including failures rooted in model behavior, hallucinations, or data/retrieval qualityAid and support the coaching and training of other team members to ensure all employees are confident in the use of software applications and AI toolingCollaborate closely with cross-functional teams including product management, domain specialists, and engineering to define requirements and develop scalable AI-driven solutionsStay current with the latest advancements in AI and related technologies (new models, frameworks, and techniques), and proactively identify opportunities to apply them to our products and servicesResponsibility Area: Software Development
Develop intuitive AI-native software that meets and exceeds the needs of the companyDevelopment of technical specifications and planning, including model selection, prompt/agent design, and data/retrieval architectureAnalyze and automate tests for software components prior to delivery, and build evaluation harnesses (accuracy, regression, and hallucination checks) for AI featuresTroubleshoot coding and model-behavior problems quickly and efficiently to ensure a productive workplaceFollow secure software coding practices, including AI-specific safeguards (prompt-injection defense, data privacy, PII handling, and responsible-AI guardrails)Professionally maintain all software and create updates regularly to address customer and company concerns, including monitoring model performance and drift in productionIaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker, Azure OpenAI, Vertex AI)Experience with Kubernetes and containerization is welcome; experience serving models or deploying inference/GPU workloads is a plusResponsibility Area: Communication
Communicate effectively and professionally in all forms of communication with internal and external customersLiaise with team members, management, and clientsBe transparent about challenges, failures, and successes, including the limitations and non-deterministic nature of AI systemsDeliver presentations and write progress reports for stakeholders, translating AI capabilities and trade-offs for both technical and non-technical audiencesActively seek ways to improve business software processes and interactions, including where AI and automation can add value 5-8 years of practical Java experience3-5 years of experience with prompt engineering and prompt/agent scripting3-5 years of hands-on experience integrating third-party AI/ML services and platform APIs (e.g., OpenAI, Anthropic, Salesforce and other SaaS)Proven ability to design and manage domain-specific languages, prompt templates, and agent instruction frameworksDevelop and optimize microservices that power high-performance data and embedding pipelines, handling up to 10 million rows and feeding vector storesProficiency in Python, Java, and JavaScript, with strong Python skills for the ML/AI ecosystemExperience with RESTful and streaming APIs, model/inference endpoints, web services, and integration technologiesKnowledge of cloud computing and managed AI services (e.g., AWS Bedrock/SageMaker, Azure OpenAI, Google Vertex AI)Create customer-centric AI solutions such as RAG assistants, agentic workflows, and AI-driven customer serviceCreate data and knowledge-base migration tools for SaaS applications, including moving embeddings and vector data between cloud instancesExperience with LLM orchestration and retrieval frameworks (e.g., LangChain, LlamaIndex) and vector databases (e.g., Pinecone, Weaviate, pgvector)Outstanding collaboration and communication skillsStrong problem-solving and debugging skills, including working with non-deterministic AI outputsAbility to learn quickly, take direction, work independently, and as part of a teamAbility to develop unit tests and AI evaluation harnesses (accuracy, regression, and hallucination checks) for code components, prompts, and complete applicationsAbility to debug and isolate the root cause of complex issues in probabilistic and distributed systemsExperience with Agile and Scrum development methodologiesExperience with Spring Boot or similar frameworksExperience working with APIs, REST standards, JSON, SQL, and NoSQL/vector storesBachelor's degree in computer science or a related field; coursework or experience in ML/AI a plus Work Personas
We 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 Employer
ServiceNow 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.
Accommodations
We 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 Regulations
For 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.