
Solution Architect, ServiceNow, AI Engineering
Posted Oct 5

Posted Oct 5
This is a fully remote position, open to applicants in United States, +1 more country.
β’ Design and create responsive, accessible experiences for the Service Portal and AIUX framework, which includes custom widgets and scoped applications.
β’ Convert high-fidelity designs into sleek, responsive interfaces.
β’ Guide discovery sessions, technical design, estimation, demonstrations, and discussions regarding customer delivery.
β’ Develop AI applications and agentic workflows utilizing Claude or similar LLM platforms, enterprise APIs, and customer data.
β’ Execute retrieval, tool invocation, structured outputs, and human review processes.
β’ Construct and integrate frontend experiences, backend services, and enterprise systems both within and outside of ServiceNow.
β’ Ensure reliable operation through testing, assessment, observability, and failure management.
β’ Oversee technical delivery, including deployment, troubleshooting, documentation, and operational transition.
β’ Manage technical risks, project scope, and quality control.
β’ Assess AI quality, security, latency, and cost, and decide when to utilize AI as opposed to deterministic automation.
β’ Contribute reusable components and delivery methodologies, conduct code reviews, and mentor fellow engineers.
β’ Collaborate directly with customers on Service Portal architecture and Forward Deployed AI Engineering projects.
β’ A minimum of five years of software engineering experience, encompassing significant hands-on web development, ServiceNow development, and technical leadership in customer-facing roles.
β’ Proven experience in architecting and delivering intricate Service Portal solutions using JavaScript, AngularJS, HTML, CSS/SCSS, and Bootstrap.
β’ Strong foundation in web development principles, including modern JavaScript/TypeScript, frontend architecture, state management, and API integration.
β’ Comprehensive understanding of ServiceNow architecture, server-side scripting, scoped applications, data models, access controls, and integrations.
β’ Sound decision-making regarding configuration versus customization, with a focus on platform upgradeability and long-term sustainability.
β’ Full-stack engineering skills, covering backend services, APIs, and cloud deployment.
β’ Practical experience in designing and developing LLM-powered applications or agentic workflows.
β’ Knowledge of prompting, context management, retrieval, tool usage, structured outputs, and evaluation processes.
β’ Ability to safeguard enterprise data and enforce user and system permissions during retrieval and tool execution.
β’ Strong design sensibility with a focus on accessibility, performance, and maintainability.
β’ Effective communication skills with both business and technical stakeholders.
β’ CCA-F certification, or willingness and commitment to obtain it shortly after joining the team.
β’ Preferred: experience in delivering customer-facing AI applications and agentic workflows in production.
β’ Preferred: familiarity with Claude, Anthropic APIs, MCP, AI-assisted development tools, Python, modern frontend frameworks, automated testing, CI/CD, Now Assist, ServiceNow AI Agents, enterprise search, and ServiceNow CSA or CAD certifications.
β’ A diverse and inclusive workplace.
β’ An equal opportunity employer and affirmative action workplace.
β’ Disability accommodations available upon request.
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