Enterprise Search Architect

ServiceNow is seeking a highly skilled AI Application Architect to lead the design and development of AI applications, including enterprise search and digital assistants. The ideal candidate will have experience orchestrating AI services and building microservice architectures that can scale to meet the needs of ServiceNow teams and customers.

Requirements

• 8+ years of experience in software development and architecture, with at least 4 years working on AI/ML applications.
• Proven experience in building AI-powered enterprise search platforms, with a deep understanding of data and context indexing for optimized search relevance.
• Expertise in designing microservice architectures and orchestrating AI applications in large-scale environments.
• Strong background in building AI solutions, including digital assistants, with seamless integrations into enterprise platforms.
• Deep knowledge of AI/ML frameworks and search technologies (e.g., Moveworks, Glean, Elasticsearch, Coveo), particularly focused on data indexing, context awareness, and relevance ranking.
• Expertise in building microservice architectures and managing AI systems within cloud platforms.
• Experience with search engine optimization and large-scale data indexing techniques for improved retrieval and personalization.
• Strong programming skills in Python, Java, or similar languages, with a focus on AI and microservice architectures.
• Hands-on experience with DevOps tools and CI/CD pipelines for deploying AI applications.
• Strong leadership and mentoring capabilities, with experience guiding cross-functional teams.
• Excellent communication and problem-solving skills, with the ability to explain technical concepts to non-technical stakeholders.
• Passion for innovation and improving AI-driven user experiences.
• Experience integrating AI search solutions with enterprise SaaS platforms like ServiceNow.
• Expertise in designing systems that optimize for both structured and unstructured data search.
• Knowledge of ethical AI practices, AI model interpretability, and federated learning.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Benefits

• Employee relocation sponsored
• Medical, dental, and vision insurance
• 401(k) matching program
• Flexible work arrangements
• Professional development opportunities
• Stock options and equity awards
• Paid time off and holidays
• Access to cutting-edge technology and tools
• Opportunities for career growth and advancement