Senior AI Agent Engineer – ServiceNow
Location: Remote
Employment Type: Full-Time
Job ID: 00069776681
Senior AI Agent Engineer – ServiceNow
About the role
As a Senior AI Agent Engineer – ServiceNow, you will make an impact by building and improving an agentic ServiceNow implementation system that helps translate user stories into configuration changes and deploy them to customer sandbox environments. You will be a valued member of the ServiceNow technology team and work collaboratively with architects, technical consultants, product teams, and engineering partners to make the agent faster, smarter, more reliable, and production-ready.
In this role, you will:
- Enhance agent behavior, prompt architecture, verification gates, test generation, and evaluation frameworks.
- Optimize token usage, latency, and conversational quality to improve the technical consultant experience.
- Extend ServiceNow platform integrations across Flow Designer, Agent Teams, Data Policies, REST Message builders, rollback automation, and post-deployment validation.
- Build and enhance Python and TypeScript Model Context Protocol servers as agent capabilities expand.
- Improve observability, reliability, alerting, recovery workflows, and offline testing using tools such as Langfuse and OpenTelemetry.
- Design knowledge and memory architecture using Cosmos DB, vector stores, graph databases, and retrieval-augmented generation patterns.
- Partner with engineering and ServiceNow teams to production-harden multi-agent systems and support scalable customer implementations.
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 10+ years of software engineering experience, including 3+ years building or operating large language model agent systems in production.
- Hands-on experience with agent orchestration frameworks such as Claude Agent SDK, LangGraph, AutoGen, LlamaIndex Agents, or similar tools.
- Experience building or extending Model Context Protocol (MCP) servers, including tool schema registration and transport debugging.
- Strong understanding of multi-agent architecture, tool routing, shared session state, context-window management, and turn-budget optimization.
- Experience with A2A Protocol, JSON-RPC 2.0 message contracts, and asynchronous callback patterns.
- Strong Python experience, including FastAPI, asyncio, async generators, background tasks, and structured concurrency.
- Hands-on ServiceNow platform experience, including scoped apps, update sets, Table API, Scripted REST APIs, and field inheritance.
- Experience with observability, token-cost tracking, latency analysis, and production reliability for AI or agent-based systems.
- Experience with knowledge stores, vector search, graph databases, and retrieval-augmented generation pipelines.
- Working knowledge of Docker, container health checks, volume mounts, and multi-process container patterns.
These will help you stand out
- Experience with TypeScript, Node.js, and ServiceNow REST APIs.
- Experience with Azure services such as Cosmos DB, Azure AI Search, Azure Kubernetes Service, Blob Storage, or Azure AI Foundry.
- Experience with ServiceNow Automated Testing Framework.
- Experience with Pydantic v2, structured output modeling, and evaluation frameworks such as RAGAS or Braintrust.
- ServiceNow certifications such as Certified System Administrator, Certified Application Developer, or Certified Implementation Specialist.
- Experience supporting enterprise AI, ServiceNow automation, or implementation acceleration tools in consulting or client-facing environments.
Salary and Other Compensation:
Applicants will be accepted till 8/20/2026
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
The annual salary for this position will be in the range of $135,000 - $155,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
Apply Now!
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关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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