Forward Deployed Solution Architect, ServiceNow

• You are a dynamic and innovative problem-solver who thrives in complex, fast-paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity
• Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives
• You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission-critical challenges
• You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation
• You embody ServiceNow’s values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy
• 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
• Enterprise Experience: 15+ years of overall experience, with 5–7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years
• Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling. Experience designing full-stack intelligent workflows
• Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns
• Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code-level decisions
• Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments. Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation
• Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes
• Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low-code tooling, or other enterprise SaaS ecosystems

Desirable

• 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
• Enterprise leaders aren’t just experimenting with AI—they’re demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success
• As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform
• This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation
• Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders
• Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration
• Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly
• Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components
• Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing
• Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs
• Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets
• What Success Looks Like:
• Solution-Ready Build Delivered: You deliver a validated AI solution-ready build within 8–12 weeks that directly addresses a business-critical problem
• Widespread Reuse: Your assets—from prompts to orchestration logic—are leveraged by other teams and codified for scale
• Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence
• Business Transformation: The AI solution you’ve led results in measurable gains in efficiency, automation, adoption, or satisfaction
• Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments
• Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partn