> Markdown version of [/jobs/ext/2576563-senior-forward-deployed-engineer-servicenow](https://www.wearedevelopers.com/jobs/ext/2576563-senior-forward-deployed-engineer-servicenow). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Forward Deployed Engineer, ServiceNow - **Company:** Deloitte T.T.L. - **Location:** Raleigh, NC, United States - **Experience:** Expert - **Salary:** $155,600.0 - $306,800.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Google App Engines, Microsoft Azure, Code Review, Continuous Integration, Information Engineering, Github, Monitoring of Systems, Identity and Access Management, ServiceNow Application Engine, Software Engineering, Data Streaming, Management of Software Versions, Data Logging, Google Cloud, Enterprise Software Applications, Cloud Platform System, Feature Engineering, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Core Api, Event Driven Architecture, AI Platforms, Information Technology, Low Latency, Machine Learning Operations, Servicenow, Microservices - **Published:** August 12, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3351746016&tx=YT101TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. * 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments * 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available * 8+ years of technology implementation experience * 6+ years of ServiceNow implementation experience * 4+ years of team lead experience * Proposal/RFP/sales experience * Experience across ServiceNow applications and modules * Certified Application Developer (CAD) * Experience delivering ServiceNow GenAI/agentic solutions (Now Assist, AI Agents) and familiarity with AI governance tooling such as ServiceNow AI Control Tower; exposure to Moveworks a plus * Proven ability to architect scalable, best-practice ServiceNow solutions across Flow Designer, Integration Hub, Service Portal, App Engine, and the Now Platform APIs. ServiceNow SDK experience with Claude and/or GitHub is a plus * Working knowledge of the ServiceNow roadmap and release cycles, with the ability to advise clients on upgrade paths and new capability adoption * Demonstrated use of Claude Code to accelerate delivery, including agentic multi-file workstreams, CLAUDE.md project memory, MCP server integrations, and parallel subagents for concurrent work such as feature development, test generation, and security review * Experience configuring Claude Code hooks to enforce pre- and post-tool quality, compliance, and security guardrails * Experience upskilling engineering teams on agentic coding practices, including context management, CLAUDE.md authoring, prompt engineering, subagent orchestration, and MCP integration, * Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) * Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments * Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management * Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures * Experience operating within hybrid onshore/offshore teams * Familiarity with security, privacy, and compliance considerations * ServiceNow certification in one or more areas * An advanced degree in the area of specialization * Module experience across CSM, Creator Workflow, ITxM, HRSD, IRM/GRC, and Source-to-Pay (S2P) * Experience with GBS on Now, Now Assist, and Creator Workflow ## Description As a Senior ServiceNow FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement * Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and delivery. * Lead working sessions to shape solutions and drive client outcomes. * Prototype and deliver working AI solutions using industry expertise and emerging capabilities. * Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. * Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. * Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. * Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. * Apply architecture decisions that balance quality, safety, latency, cost, and model risk. * Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. * Design extensible functionality, support sprint sizing, and align solutions with senior team members. * Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team Our ServiceNow practice develops strategies and implements systems that help organizations build business value and improve performance. Drawing on deep experience solving complex IT and non-IT challenges globally, we guide clients through everything from system replacement to full Enterprise transformation. We partner with COOs, CHROs, CFOs/CPOs, CISOs, CIOs/CTOs, technology executives, and service owners across HR, IT, Customer, Field Service, and Project Portfolio Management to modernize technology delivery and operating models. By focusing on NextGen technologies and evolving service models, we help clients shift from foundational technology delivery to becoming the strategic business partner and catalyst for change that today's operational demands require. ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Insights from building the Canva Developers Platform to empower 185 million designers](https://www.wearedevelopers.com/videos/942-insights-from-building-the-canva-developers-platform-to-empower-185-million-designers) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [The AI-Native Software Team: How Agents Are Rewriting the SDLC](https://www.wearedevelopers.com/videos/100263-the-ai-native-software-team-how-agents-are-rewriting-the-sdlc) - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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