Full-Time Forward Deployed Solution Architect – Applied AI
ServiceNow is hiring a remote Full-Time Forward Deployed Solution Architect – Applied AI. The career level for this job opening is Experienced and is accepting Dublin, Ireland based applicants remotely. Read complete job description before applying.
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Team Bio: ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team partners with strategic customers to shape the future of enterprise AI.
Why This Role Matters: As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of AI transformation, embedding with customers to uncover opportunities and architect AI-powered systems.
Who 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.
What You’ll Do:
- Lead Strategic Discovery: Identify high-impact AI opportunities.
- Architect AI-Native Solutions: Design systems using LLMs, RAG, and workflow orchestration.
- Accelerate Delivery with Engineers: Collaborate to build, test, and iterate solutions.
- Codify Best Practices: Create repeatable frameworks and reusable templates.
- Drive Alignment: Influence customer and executive buy-in.
- Advocate Field Insights: Capture feedback to shape product strategy.
- Enable Scale: Equip teams and customers to expand success.
What Success Looks Like:
- Solution-Ready Build Delivered: Deliver a validated AI solution within 8–12 weeks.
- Widespread Reuse: Assets are leveraged by other teams and codified for scale.
- Platform Evolution: Work contributes to shaping the Now Platform.
- Business Transformation: AI solution results in measurable gains.
- Production Trajectory: Solution becomes the foundation for scaled deployment.
- Trusted Field Partner: Seen as a strategic and technically credible partner.
What You Bring:
- Experience: Integrating AI into work processes.
- Enterprise Experience: 15+ years overall, with 5–7+ years in enterprise AI/ML architecture.
- Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines.
- Cloud & Infrastructure Fluency: Experience with AWS, Azure, or GCP.
- Engineering Depth: Proficient in Python and SQL.
- Customer & Delivery Leadership: Comfortable in ambiguous environments.
- Field Readiness: Willingness to travel up to 30%.
Preferred Qualifications:
- Prior work delivering AI or intelligent workflow solutions at scale.
- Familiarity with LangChain, Semantic Kernel, vector DBs, and Python.
- Experience with SaaS platforms and low-code environments.