ServiceNow
AI
ForwardDeployedSolutionArchitect–AppliedAI
“Forward Deployed Solution Architect – Applied AI at ServiceNow. Skills: Applied AI, Forward Deployed Engineering, Solution Architecture, LLM-based systems, GenAI pipelines, Enterprise AI/ML architecture. 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”
What You'll Achieve.
Deliver a validated AI solution-ready build within 8–12 weeks that directly addresses a business-critical problem; Assets are leveraged by other teams and codified for scale; Work contributes to shaping the Now Platform through structured product feedback and architectural influence; AI solution leads to measurable gains in efficiency, automation, adoption, or satisfaction; Delivered solution becomes the foundation for scaled production deployment across customer environments; Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner
Industry & Context.
Dynamic and innovative problem-solver; Transforming ambiguity into clarity; Identify impactful solutions that align with customer needs and business objectives; Explore workflows, understand user friction, and surface the right inflection points for intelligent automation
Willingness and ability to travel up to 30%
What They're Looking For.
Must Have
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving, 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, 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, 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, Working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar, Ability to contribute to engineering discussions and code-level decisions, Comfortable operating in ambiguous, high-stakes environments, Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation, Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes
Nice to Have
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, Familiarity with the ServiceNow platform, low-code tooling, or other enterprise SaaS ecosystems
What You'll Do.
Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders
Architect AI-Native Solutions: Design systems using LLMs
and workflow orchestration
Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build
and iterate functional solutions quickly
Codify Best Practices: Create repeatable frameworks
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
How You'll Work.
Team & Collaboration
Partner with our most strategic customers to shape the future of enterprise AI; Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly; Work seamlessly with software engineers, product designers, and stakeholders; Guiding cross-functional technical teams; Collaborate deeply across functions and build through shared ownership
Communication Scope
Clear storytelling; Solution framing
Process & Methodology
Lead initiatives from conception to delivery, Guide customers and stakeholders through complex projects
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