Staff Enterprise Search Architect
| Company | ServiceNow |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
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.
Responsibilities
- 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.
Preferred Qualifications
- 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.