Staff Enterprise Search Architect

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey.

We pursue our purpose to make the world work better for everyone. The Role:

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 company. Responsibilities:

• AI Application Orchestration: Architect and implement AI application orchestration frameworks that ensure smooth integration, deployment, and management of AI services across multiple systems and teams.
• Microservice Architecture Design: Design and implement scalable, distributed microservice architectures that support AI applications, ensuring high availability, resilience, and maintainability.
• Search Platform Expertise: 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.
• Data and Context Indexing: Build and optimize search systems with sophisticated data indexing and contextual understanding, enabling effective retrieval pipelines for RAG workflows.
• Digital Assistant Development: Develop and integrate advanced conversational AI capabilities for digital assistants, leveraging natural language processing (NLP) and machine learning models.
• Scalable Infrastructure: 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.
• Collaboration and Leadership: Mentor and support early-career engineers while collaborating with product teams and stakeholders to ensure AI architectures align with business goals and technical requirements.
• Innovation and Trends: Stay informed on the latest trends in AI/ML, search technologies, and microservice architectures to continuously innovate and strengthen ServiceNow's AI capabilities. About Digital Technology:

We're not yesterday's IT department-we're Digital Technology. The world around us keeps changing and so do we. We're redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. About Emerging Technology Group:

Emerging Technology Group (ETG) is ServiceNow's Digital Technology internal incubation group. Being customer zero for ServiceNow products, we ensure the products work for us internally and deliver value as they get in the hands of our customers. About ServiceNow Digital Technology:

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.

Learn more here. About Qualifications:

We require at least 8 years of experience in software development and architecture, with at least 4 years working on AI/ML experience.

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 designing microservice architectures and managing AI systems within cloud environments.

Strong background in building AI solutions, including digital assistants, with seamless integrations into enterprise systems.

Skills:

• 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 solutions.
• Leadership and mentoring capabilities.
• Excellent communication and problem-solving skills.
• Prior experience integrating AI search solutions with enterprise SaaS platforms like ServiceNow.