Forward Deployed Solution Architect – Applied AI FDE

ServiceNow • New York, NY

199d • $236,000 - $413,000

About The Position

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.

Requirements

• 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.
• Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling.
• Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns.
• Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar.
• Comfortable operating in ambiguous, high-stakes environments.
• Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes.

Nice To Haves

• Familiarity with the ServiceNow platform, low-code tooling, or other enterprise SaaS ecosystems.
• Prior work delivering AI or intelligent workflow solutions at scale.
• Familiarity with LangChain, Semantic Kernel, vector DBs, and Python.
• Experience with SaaS platforms, enterprise data integration, and low-code environments.
• History of converting field delivery into reusable product patterns.
• Proven success in deploying AI solutions that delivered tangible customer impact.
• Hands-on experience integrating AI into enterprise SaaS platforms.
• Skill translating real-world constraints into reusable internal tools or product enhancements.
• Familiarity with AI governance, compliance, and enterprise security practices.

Responsibilities

• 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.

Benefits

• Base pay of $236,000 - $413,000, plus equity (when applicable), variable/incentive compensation and benefits.
• Health plans, including flexible spending accounts.
• 401(k) Plan with company match.
• Employee Stock Purchase Plan (ESPP).
• Matching donations.
• Flexible time away plan and family leave programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees