Enterprise Search Architect, ServiceNow

• 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
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Preferred

Desirable

• We are seeking a highly skilled AI Application Architect to lead the design and development of AI applications, including enterprise search and digital assistants
• This role requires a deep understanding of search platform technologies, including expertise in data and context indexing
• 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
• As part of this role, you will play a key part in developing intelligent systems that improve information retrieval and digital workflow experiences across the organization
• Architect and implement AI application orchestration frameworks that ensure smooth integration, deployment, and management of AI services across multiple systems and teams
• Design and implement scalable, distributed microservice architectures that support AI applications, ensuring high availability, resilience, and maintainability
• Lead the design and optimization of AI-driven enterprise search platforms, with a focus on advanced data and context indexing techniques to improve search relevance, speed, and accuracy
• Build and optimize search systems with sophisticated data indexing and contextual understanding, enabling effective retrieval pipelines for RAG workflows
• Develop and integrate advanced conversational AI capabilities for digital assistants, leveraging natural language processing (NLP) and machine learning models
• Collaborate with infrastructure and DevOps teams to deploy AI solutions in cloud-native environments with CI/CD support, ensuring efficient and scalable AI application management
• Mentor and support early-career engineers while collaborating with product teams and stakeholders to ensure AI architectures align with business goals and technical requirements
• Stay informed on the latest trends in AI/ML, search technologies, and microservice architectures to continuously innovate and strengthen ServiceNow's AI capabilities

• Commuter benefits
• Annual learning stipends
• Work from home opportunities
• Generous family leave
• Matched donations
• Flexible PTO
• 401(k) matching
• Paid volunteer time

Total funding: $83.8m

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.