Staff AI Application Architect, ServiceNow

$163-285.2k

Salary applicable for candidates based in CA (outside of the Bay Area), may vary on other locations + Variable/incentive compensation

Python
Java
Elasticsearch
ServiceNow
Senior and Expert level
Remote in Canada, US
San Francisco Bay Area
ServiceNow

Cloud-based digital workflows for enterprises

Be an early applicant

ServiceNow

Cloud-based digital workflows for enterprises

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Be an early applicant

$163-285.2k

Salary applicable for candidates based in CA (outside of the Bay Area), may vary on other locations + Variable/incentive compensation

Python
Java
Elasticsearch
ServiceNow
Senior and Expert level
Remote in Canada, US
San Francisco Bay Area

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Company mission

To transform IT to revolutionise the enterprise.

Role

Who you are

  • 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 employees and customers
  • 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
  • Deep knowledge of AI/ML frameworks and search technologies (e.g., Elasticsearch, Solr, AI Search), 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
  • Expertise in Retrieval-Augmented Generation (RAG) techniques, integrating external knowledge bases with generative models to enhance the accuracy and context of AI-driven responses
  • 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

Desirable

  • 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

What the job involves

  • As an AI Application Architect, you will play a key role in shaping the future of AI-driven search and digital assistant solutions
  • Your work will directly impact how employees and customers access and interact with information, driving efficiency and innovation across the organization
  • Join us to build intelligent, scalable AI solutions in a collaborative and dynamic environment
  • We are seeking a highly skilled AI Application Architect to lead the design and development of AI applications, including enterprise search and digital assistants
  • 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
  • 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
  • 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, ensuring that search results are highly relevant and personalized for both employees and customers
  • 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 guide junior engineers while collaborating with product managers and stakeholders to ensure AI architectures align with business goals and technical requirements
  • Innovation and Trends: Keep up with the latest trends in AI/ML, search technologies, and microservice architectures to continuously innovate and improve ServiceNow's AI capabilities

Our take

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.

Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.

The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.

The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

16% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Mar 2012

$11m

GROWTH EQUITY VC

Feb 2012

$17.9m

GROWTH EQUITY VC

Total funding: $83.8m

Company benefits

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

Company values

  • Win as a team
  • Innovate and execute
  • Stay hungry and humble
  • Deliver customer success

Company HQ

Santa Clara, CA

Leadership

Fred Luddy

(Chairman Of The Board)

Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.

Salary benchmarks

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Diversity, Equity & Inclusion at ServiceNow

  • Enabling and empowering our people: We use rich learning programmes to equip employees with inclusive mindsets and skills, and we build equitable processes across our entire talent ecosystem
  • Engaging our communities and allies: We make space to listen, share openly and engage in respectful dialogue. We extend into our communities through civic engagement, digital literacy and non‑profit support
  • Building diverse talent and hiring inclusively: We grow stronger together by developing and advancing individual talent and by improving representation at all levels.

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