• Design and development of AI solutions in Python. • Implementation of RAG (Retrieval-Augmented Generation) pipelines to improve model relevance. • Use of the AWS cloud, particularly AI/LLM services (e.g., Bedrock). • Integration of AI tools and orchestration platforms (N8N, OpenAI, Claude, etc.). • Experimentation and continuous improvement through prompt engineering and model fine-tuning. • Technology watch on AI innovations and proposing ideas/concepts to enrich our products. • Collaboration with product, data, and development teams to industrialize reliable and scalable AI solutions.

• Design, develop, and deploy AI-powered applications, agents, and automation solutions that improve business processes and customer experiences. • Build and maintain production-grade backend services, APIs, and integrations using Python and modern cloud technologies. • Develop workflow automations that support Sales, Revenue Operations, Customer Support, and other business functions. • Create and optimize data pipelines and integrations across enterprise platforms including Salesforce, Microsoft 365, Freshdesk, and other business systems. • Design and implement retrieval-augmented generation (RAG) architectures, LLM orchestration frameworks, and evaluation methodologies. • Lead the development of AI-powered simulation experiences, including conversational and voice-enabled learning solutions. • Identify opportunities to embed AI capabilities into existing BARBRI products and rapidly deliver high-impact features. • Partner closely with product, engineering, and business stakeholders to understand needs, define solutions, and deliver measurable outcomes. • Enable non-technical teams by providing guidance, training, and best practices for building and maintaining AI agents and automations.

• Continuous LLM Evaluation: Design and operate a systematic, ongoing process to evaluate new and emerging LLMs across accuracy, relevancy, speed, and cost — continuously benchmarking them against the specific tasks in our orchestration pipeline proactively optimizing outcomes. • Eval Framework Development: Build and maintain rigorous evaluation frameworks (Evals) to measure LLM output accuracy, relevance, faithfulness, and speed with a specific focus on reducing hallucinations in medical record summarization and legal document analysis. • Proactive Model Transition Planning: Monitor the LLM landscape across providers to identify deprecation timelines and suitable replacement models — and own the full execution of those transitions, including integrating new models into the production pipeline and maintaining necessary changes to account for model behavior. • AI Pipeline Optimization: Directly implement optimizations to LLM-based orchestration pipelines for document understanding, medical record summarization, case chronology generation, and drafting support — owning code changes, deployments, and production validation from start to finish. • Cross-Functional Collaboration: Partner with product and GTM stakeholders to communicate model evaluation findings — then lead the technical implementation yourself rather than delegating execution to a separate engineering team. • End-to-End Implementation Ownership: Take full responsibility for shipping model changes into production — writing the integration code, managing deployments, running validation tests, and ensuring a clean rollout. • Operational Monitoring: Implement monitoring and observability for model performance in production, benchmarking outputs and cost, detecting drift with ongoing and continuous reporting to management. • Documentation: Maintain thorough documentation of evaluation methodologies, model comparison results, transition decisions, and runbooks for the systems you own.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description As a Senior AI Agent Engineer - Moveworks | Customer Deployment at Moveworks ServiceNow, you'll be responsible for making customers successful with the Moveworks ServiceNow Platform by accelerating product adoption through various customer engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering. Your primary mission is to translate complex customer business process challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities in the current product but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform. Core Responsibilities & Impact: - Full-stack Ownership: Partner deeply with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks ServiceNow Platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch. - Custom Solution Design: Architect, design and consult with customers to develop high-impact technical AI solutions on the Moveworks ServiceNow platform by helping them leverage AI in novel and meaningful ways to solve complex business challenges. - Integration and implementation: Integrate the Moveworks ServiceNow Platform to Customer enterprise system in an innovative, secure and performant manner. - Product Partnership: Work closely with engineering and product teams on new product rollouts, and help drive product decision making by synthesizing on-the-ground customer feedback and technical gaps. - Strategic Autonomy: Consult customers and apply creative freedom in solution design to shape the customer's Agentic AI roadmap. About You: You are a technical generalist & a "do-er" with a deep, intuitive understanding of complex systems and a relentless focus on customer impact. You thrive in a dynamic, high-growth environment where you can both build and lead. - Technical Acumen & Curiosity Mindset: You are a rapid learner with high technical aptitude and strong generalist with instincts to quickly learn both new technical and business domains. You possess a curiosity to understand details from both a technical and a business perspective i.e: trying to understand: "what happens under the hood?" and "why is this done that way?" - Technical Mastery: Strong grasp of API based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Product Excellence Obsession: You have product taste/judgement and are obsessed with building and delivering exceptional product experiences for users. - Reusability: You share what works with the broader team, and help generalize solutions into reusable templates. - Customer-Centric Soft Skills: You have the communication skills required for deep customer partnerships, and you genuinely enjoy working directly with customers. You are compelled to develop and deliver compelling solution narratives through creation of high-quality artifacts (e.g. architecture diagrams, solution proposals, product documentation, SOWs) as well as engaging presentations and demos, tailored to the technical and business awareness of the audience. - Strategic Guidance & Influence: Serve as a trusted advisor to customers, providing strategic direction to help them overcome technical and organizational obstacles. This includes developing and delivering context-specific solutions, as well as upskilling customer teams to leverage the product independently. - Entrepreneurial Drive / Grit: You aspire to a high-growth career path, actively seeking to gain maximum exposure and learning across engineering, product, and business functions as quickly as possible. You lean into navigating through challenging business situations or antiquated legacy systems. - Ecosystem Partnership: You possess a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications To be successful in this role you have: - 5+ years of experience in a technical role, such as a Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer or Software Engineer. - Ability to operate across multiple business functions or technical domains, demonstrating adaptability, quick-to-learn, and broad technical skills. - Experience designing, building and launching full-stack workflows, and automations, leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang, etc.). - Fully independent practitioner who owns work with minimal guidance, applying in-depth knowledge to problems of diverse scope and evaluating multiple factors to arrive at sound technical decisions. - Track record of contributing ideas and documentation across project teams, not just within immediate assignments. - You are willing to travel up to 25% of the time Preferred Qualifications: - Familiarity with enterprise platforms (e.g. ServiceNow, Jira Service Desk, Zendesk, Workday, Okta, etc.) is a plus - You have familiarity with Linux and Windows environments and using the command line. - You have a great track record of driving successful technical adoption with medium to large-sized enterprise projects - You stay current with the latest AI tools and frameworks, and think about how to apply them thoughtfully to work smarter and build reliable, scalable solutions Additional Information Work Personas 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 and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .