AI Application Architect

4 weeks ago


San Jose, California, United States ServiceNow Full time
Job Description

ServiceNow is a global market leader in AI-enhanced technology, bringing innovative solutions to over 8,100 customers, including 85% of the Fortune 500. We're seeking a highly skilled AI Application Architect to lead the design and development of AI applications, including enterprise search and digital assistants.

Key Responsibilities
  • Architect and implement AI application orchestration frameworks to 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, ensuring that search results are highly relevant and personalized for both employees and customers.
  • 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 guide junior engineers while collaborating with product managers and stakeholders to ensure AI architectures align with business goals and technical requirements.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • 7+ 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.
Preferred Qualifications
  • Experience integrating AI 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.

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