Role Description In this role, you will: - Build and deploy production-ready LLM applications on cloud infrastructure - Design AI agents capable of reasoning through complex problems - Integrate AI solutions with existing systems, including ERPs, CRMs, and data warehouses - Implement monitoring and performance optimization solutions to identify potential issues before they impact users - Own the end-to-end machine learning pipeline, from prototyping to production deployment - Lead the development team and contribute to key technical decisions - Collaborate directly with stakeholders to understand business needs and translate them into effective AI solutions Qualifications - Strong Python programming skills and experience writing production-level code - Hands-on experience with LLM frameworks and technologies such as RAG, MCP, LangChain, or LlamaIndex - Solid knowledge of SQL and NoSQL databases - Familiarity with CI/CD principles and pipelines - Practical experience with AWS cloud services - Curiosity about emerging technologies and motivation to build innovative products from scratch - Ability to adapt and stay effective in a fast-changing environment - Experience leading or supporting a development team - Clear communication skills and the ability to collaborate directly with stakeholders - Fluency in both Lithuanian and English, written and spoken Benefits - A working culture that is high performing, ambitious, collaborative, and fun - Private medical care - Sports package - Life insurance - Flexible working hours - Employee-led workshops and office perks - B2B contracts include paid annual service break and paid public days-off in Poland - Salary range: 127 - 190 PLN/h + VAT (B2B) or 17 650 - 26 500 PLN gross (Permanent)

• Collaborate with cross-functional teams to deliver high-quality AI-driven applications • Design scalable systems and justify technical decisions • Implement event-driven architecture and asynchronous workflows • Mentor team members on AI engineering best practices • Drive technical leadership initiatives within the team

• Own the technical architecture for Buildertrend’s internal AI platform, designing reusable services, agentic systems, workflow orchestration, and AI capabilities that power teams across the GTM and G&A functions. • Establish the engineering standards for internal AI development, including architecture patterns, reusable components, evaluation frameworks, observability, governance, and deployment practices. • Architect the integration and data layer that connects Buildertrend’s business tools, including Salesforce, Gong, Databricks, and others, into a scalable internal AI platform. • Lead technical evaluations and build-vs-buy decisions for AI platforms, frameworks, and tooling in partnership with the Director of AI Enablement. • Establish best practices for monitoring, evaluating, and continuously improving AI systems in production to ensure reliability, security, and business value. • Translate ambiguous business problems from non-technical partners into well-scoped technical solutions and drive them to completion independently. • Serve as the technical voice of the Central AI Enablement function in cross-functional conversations, including engineering leadership and business VPs. • Embrace using AI as a tool to enhance your work, while remaining open to learning, applying critical thinking, and owning the quality of your final work.

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 About the Role You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role — you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role — you will be in front of customers regularly and are expected to travel up to 25% of the time. What You'll Own - Customer Technical Relationships: Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. - Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges — leveraging the Moveworks Platform in innovative and meaningful ways. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You - You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications Required: - 8+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems - Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred: - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions For positions in this location, we offer a base pay of $166,500 to $291,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.  Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 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, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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.