• Develop End-to-End AI Solutions: Design, build, and monitor production-ready Machine Learning models and automated agents. • Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust ETL pipelines. • Govern AI Safety and Compliance: Ensure the responsible deployment of all systems by performing rigorous model validation.

• Implement and maintain core services for the AI Data Lakehouse • Build and support CI/CD pipelines to automate the deployment of AI models • Develop and test tool-execution environments and API interfaces for AI agents • Participate in on-call rotations and troubleshooting to ensure platform reliability • Work on the "Context Fabric" to implement search and retrieval patterns • Assist in managing cloud resources across AWS and Azure

About Boomi and What Makes Us Special Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more. How You’ll Make An Impact As an AI Forward Deployed Engineer, you will be the hands-on expert responsible for turning a customer's agentic vision into a reality. In this critical role, you will engage with the customer team to ideate use cases and create demos/POCs. Assisting the Sales & COE team, you will scope the platform work and partner with Professional Services to scope the implementation work. Post-Sale, your mission is to execute the Agentic "Solution Blueprint" defined during the sales cycle, ensuring customers achieve their first major value milestone as quickly and efficiently as possible. What You’ll Do - Identify Use Cases: Work with the presales SC to identify and refine future use cases for each customer based on implementation insights. - Create Demos / POCs: Work with the customer team to identify key proof points and build out a demo/POC that successfully shows how the Boomi platform delivers. - Lead Implementation: Develop a detailed project plan for the customer implementation, based on the agent's predefined steps and the Solution Blueprint. - Provide Hands-on Expertise: Act as the primary technical point of contact during onboarding, providing hands-on guidance and project management for the setup, configuration, and integration required by the agent. - Drive to First Value: Proactively manage the project to achieve the first significant value milestone, ensuring the customer sees a tangible return on their investment. - Execute a Successful Transition: Manage the project closeout and execute a smooth transition of the customer to their long-term Customer Success Manager (CSM) and Professional Services for ongoing support and expansion. The Experience You Bring - 5+ years in a hands-on technical delivery role, such as implementation consulting, professional services, or solutions architecture. - Proven project leadership experience, with a track record of successfully delivering complex enterprise software solutions. - Hands-on experience with integration technologies (APIs, ESBs, iPaaS) and a deep understanding of enterprise data systems. - Practical knowledge of AI/ML capabilities and implementation strategies, including familiarity with agent frameworks (e.g., LangChain, Lavender, CrewAI). - Experience with cloud-native services and infrastructure across AWS, Azure, or GCP. - Strong problem-solving skills and the ability to troubleshoot technical issues during implementation. - Excellent customer management and communication skills, with the ability to set and manage expectations. Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit! Compensation and Benefits Boomi is committed to fair and equitable compensation practices. Base compensation for this position begins at $110,000 - $163,000. This position is remote-friendly and, as such, final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location. An overview of our benefits can be found here. #LI-JL1 #LI-REMOTE Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities. All employment decisions are based on business needs, job requirements, and individual qualifications. Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Team Bio: ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build—owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries. Who You Are: You are a systems-minded, AI-native engineer who ships real software. You own the full stack—and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact. You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points. You will: - Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI - Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments - Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements - Shape developer experience by sharing feedback with platform and product teams What You’ll Do: - Deliver Production - ready solution in agile end-to-end sprints - Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components - Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed - Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers - Influence platform: inform product strategy through field-tested insights and extensible code What Success Looks Like: - Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments - Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects - Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives - Velocity and precision: You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts - Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one Qualifications What You Bring: - Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry - Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles - System architecture: Proven ability to design and implement AI-native software in production environments - Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) - LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management - Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring - Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org - Product sensibility: Prioritize for user value, MVP iteration, and long-term scale - DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code - Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters Preferred Qualifications: - Experience integrating AI into SaaS platforms like ServiceNow or Salesforce - Track record of production deployments in secure, regulated enterprise environments - Contributions to dev experience tooling, frameworks, or reusable AI scaffolds Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales. For positions in this location, we offer a base pay of $201,300 - $352,300, 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, 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 [email protected] 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. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. - Employee Type: Regular - Region: AMS - North America and Canada - Work Persona: Flexible or Remote