6 days ago
Responsibilities
- Design, develop, and optimize AI-powered solutions within ServiceNow and through external custom solutions, including custom MCP tooling and agentic applications.
- Integrate and orchestrate third-party LLMs such as OpenAI and Google Gemini to deliver intelligent automation and improved user experiences.
- Design and implement scalable integrations between ServiceNow and enterprise applications, covering API development, scripting, and framework deployment.
- Collaborate with stakeholders, internal customers, and business analysts to identify AI opportunities, clarify requirements, and architect effective solutions.
- Troubleshoot ServiceNow configurations and AI components while ensuring reliable operation.
- Identify requirement gaps, present configuration options with tradeoffs, and design intuitive software that supports customer-led customization.
- Create technical design and build documentation for the technical infrastructure.
- Research existing systems, provide estimates and recommendations, and communicate development progress in project meetings and daily scrums.
- Design, implement, and evaluate agentic systems capable of perceiving, reasoning, planning, acting, and learning while addressing safety and ethical risks.
Requirements
- At least 5 years of relevant experience with a bachelor’s degree, 2 years with an advanced degree, 0 years with a PhD, or 8 years of relevant experience.
- At least 2 years of relevant professional experience with hands-on AI-powered solutions is preferred.
- Experience delivering projects through high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing technical documentation.
- Experience designing robust, scalable architectural solutions across broader technical ecosystems and collaborating with globally distributed teams.
- In-depth knowledge of APIs, web services, and relational database concepts.
- Experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML.
- Strong Python skills and hands-on experience building RESTful or GraphQL APIs.
- Experience building GenAI solutions, agents, or conversational applications and distinguishing reasoning approaches such as ReAct and Chain-of-Thought.
- Experience designing agentic systems using symbolic, BDI, and LLM-based agent architectures.
- Knowledge of agent performance evaluation, multi-agent systems, human-agent interaction, responsible AI, prompt engineering, LLM fine-tuning, and RAG.
- Familiarity with MCP servers or comparable model-serving and hosting platforms.
- Strong ServiceNow development experience, including UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration and Architecture, Import Sets, Transform Maps, and Update Sets.
- Knowledge of the ServiceNow CMDB, data modeling, data strategies, integrations, and ITSM/ITOM products such as Change Management, Discovery, and Service Mapping.
- ServiceNow CSA, CIS, or CAD certifications are highly desirable.
- Strong problem-solving, analytical, communication, collaboration, and business-process improvement skills.
Benefits
- Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program benefits may be available.
- The role requires at least three days per week in the office.
- The position requires 5–10% travel.
- Work hours vary according to department needs.
- The position is performed in an office setting.
Tech Stack
Categories
About Visa
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid. Learn more at Visa.com.