Senior Software AIML Engineer

AI Security Incubation & Innovation

Security and Risk Engineering

About the team

The Security and Risk Engineering organization builds scalable AI-powered security solutions that reduce risk and protect ServiceNow and its customers. We value AI-first thinking clean architecture intuitive experiences and a culture of continuous learning.

This is a zero-to-one incubation. Were building a new class of exposure analysis that ranks security work by exploitabilitywhere an attacker could realistically get inrather than raw severity. The architecture is evolving and this role helps define what good looks like.

The Role

As a Senior Software Engineer AI Native Development you will design build and operate next-generation AI-powered applications and platforms. You will combine strong full-stack software engineering fundamentals with hands-on expertise in modern AI/ML technologies to build production-grade experiences powered by LLMs agents retrieval and intelligent automation.

You will work across the technology stackfrom user experiences and APIs to distributed services data and retrieval systems AI/ML workflows and cloud infrastructure. You will be expected to use AI-native development practices to accelerate engineering productivity while maintaining high standards for scalability reliability security and quality.

This role is ideal for an engineer who enjoys solving complex problems end-to-end and is excited about applying AI as a core engineering capability not simply as an add-on to traditional software.

What Youll Own

• Design and build end-to-end full-stack applications including frontend experiences backend services APIs data layers and cloud-native infrastructure.
• Build production-grade AI/ML-powered capabilities using LLMs RAG embeddings semantic search agentic workflows and intelligent decision-making.
• Design and implement agentic architectures including tool calling orchestration planning loops memory context management and failure recovery.
• Develop reliable AI-powered APIs and services that integrate frontier models and enterprise data securely and efficiently.
• Build retrieval and grounding pipelines using vector search hybrid search semantic retrieval re-ranking and contextual enrichment.
• Establish evaluation and observability mechanisms to measure AI quality accuracy latency cost reliability and safety.
• Take features from concept and prototype through production deployment and ongoing operation with ownership of quality and reliability.
• Work with product design platform data security and other engineering teams to translate ambiguous problems into scalable technical solutions.
• Contribute to architecture and design decisions code reviews engineering standards and technical direction.
• Mentor engineers and help raise the bar on full-stack engineering and production AI development practices.

What Youll Do

• Design and develop scalable maintainable frontend applications and backend services using REST/GraphQL APIs microservices event-driven services and distributed systems.
• Work with modern frontend technologies such as React TypeScript JavaScript or equivalent frameworks.
• Build cloud-native applications with strong focus on scalability performance reliability and security.
• Own software delivery across development testing deployment monitoring and production operations.
• Build applications leveraging LLMs generative AI embeddings RAG semantic search and agentic workflows.

• Integrate frontier AI models and SDKs such as OpenAI Anthropic Google or equivalent platforms.
• Apply prompt engineering structured outputs function/tool calling context engineering and model selection to real-world applications.
• Design agent workflows that can reason use tools retrieve information execute actions and recover from failures.
• Build AI evaluation frameworks and automated tests to measure model and application quality.
• Balance model capability accuracy latency scalability and cost when selecting and integrating AI models.
• Apply AI safety security privacy governance and guardrail practices to production AI systems.
• Explore and adopt emerging AI technologies and rapidly turn promising capabilities into production-ready solutions.

AI-Native Engineering Practices

• Use AI-assisted development tools and coding agents such as Claude Code Codex Cursor Windsurf or equivalent tools as part of the software development lifecycle.
• Apply AI to improve engineering productivity across coding testing debugging documentation code review and system design.
• Develop effective workflows for collaborating with coding agents while maintaining engineering quality and accountability.
• Help establish best practices for AI-native software development across the engineering organization.

Qualifications :

• 5 years of software engineering experience building and operating production-quality software.
• Strong understanding of software engineering fundamentals data structures algorithms design patterns APIs and distributed systems.
• Hands-on experience developing full-stack applications with strength in both frontend and backend engineering.
• Strong programming experience in one or more of Python Java Go TypeScript JavaScript or similar languages.
• Experience with modern frontend development preferably React and TypeScript or equivalent technologies.
• Experience designing and building cloud-native applications scalable APIs microservices databases and distributed systems.
• Hands-on experience building or integrating AI/ML-powered applications in production or near-production environments.
• Practical understanding of modern AI concepts including LLMs embeddings RAG vector databases/search semantic search agents tool calling and model evaluation.
• Experience integrating one or more frontier AI model platforms/SDKs such as OpenAI Anthropic or Google.
• Ability to take an AI/ML prototype and turn it into a reliable scalable maintainable production solution.
• Strong debugging problem-solving and system-design skills.
• Strong communication and collaboration skills with the ability to work effectively across engineering product design data and platform teams.
• Demonstrated ownership of technical decisions and a track record of improving code quality and engineering practices.

Nice to Have

• Experience designing multi-agent systems and agent orchestration frameworks.
• Experience with AI evaluation observability guardrails and responsible AI practices.
• Experience with vector databases hybrid retrieval re-ranking knowledge graphs or enterprise search.
• Experience with ML pipelines MLOps model monitoring or inference optimization.
• Experience with cloud platforms such as AWS Azure or GCP.
• Experience with Kubernetes containers CI/CD and infrastructure-as-code.
• Experience with AI coding agents such as Claude Code Codex Cursor or Windsurf.
• Contributions to open-source AI/ML or developer tooling projects.
• Experience working on cybersecurity identity risk enterprise SaaS or other complex domain platforms is a plus.

Qualifications

• 5 years of software engineering experience or equivalent practical experience.
• Experience designing and delivering production software systems.
• Experience building or integrating AI/ML-powered applications in a production or near-production environment.
• Modern AI experience: LLMs RAG embeddings vector search agentic workflows model evaluation or AI observability.
• Strong programming experience in Python and/or Java Go or a similar language.
• Cloud-native technologies distributed systems APIs databases and scalable architectures.
• Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related technical discipline or equivalent practical experience.
• Cybersecurity or security-product experience is a plus.

What Success Looks Like

In this role you will be successful when you can:

• Build end-to-end: Take a product requirement from UI and API design through AI services data deployment and production operation.
• Build AI-native: Understand when and how to apply LLMs agents retrieval and other AI capabilities to solve problems effectively.
• Engineer for production: Move beyond prototypes and deliver systems that are scalable observable secure reliable and maintainable.
• Think across the stack: Understand the trade-offs between user experience application architecture data AI models infrastructure cost and performance.
• Raise the engineering bar: Influence architecture mentor engineers and establish effective practices for building AI-native software.

FD21

Additional Information :

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 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 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.

Remote Work :

No

Employment Type :

Full-time