About the Role
We are looking for a Forward Deployed Solutions Engineer (FDSE) to work directly with enterprise customers, deploying and customizing XenonStack’s Agentic AI platforms for real-world impact. This is a hybrid role at the intersection of solutions engineering, consulting, and customer success — ensuring enterprises not only deploy agentic systems, but transform their business processes, decision‑making, and workflows with them. If you thrive on solving complex customer challenges, building trust with senior stakeholders, and ensuring AI agents deliver measurable value, this role is for you.
Key Responsibilities
- Enterprise Deployment & Integration: Deploy and configure Agentic AI, Vision AI, and Inference Infrastructure for enterprise clients; integrate solutions with enterprise APIs, data systems, and third‑party tools.
- Solution Engineering: Translate client business requirements into technical architectures for agentic systems; customize AI agents and multi‑agent workflows to align with industry‑specific compliance and workflows.
- Customer Collaboration: Partner with CXOs, IT leaders, and domain experts to understand strategic challenges; run discovery sessions, demos, and workshops to showcase solution value.
- Reliability & Observability: Ensure deployments are reliable, observable, and cost‑optimized; work with AgentOps and Observability Engineers to monitor performance, traceability, and governance.
- Feedback & Product Alignment: Act as the customer’s technical voice within XenonStack; provide structured feedback to shape product features, roadmap, and UX improvements.
- Training & Enablement: Create technical documentation, runbooks, and playbooks for clients; train customer teams on operating, monitoring, and scaling agentic systems.
Skills & Qualifications
Must‑Have
- 3–6 years of experience in Solutions Engineering, Forward‑Deployed Engineering, or Enterprise SaaS delivery.
- Strong proficiency in Python, APIs, and cloud‑native platforms (AWS, GCP, Azure).
- Familiarity with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex).
- Hands‑on with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Excellent communication and client‑facing skills with the ability to engage senior stakeholders.
- Proven ability to solve problems under pressure and adapt solutions to customer environments.
Good‑to‑Have
- Experience with AgentOps tools (LangSmith, Arize AI, PromptLayer, Weights & Biases).
- Knowledge of RAG pipelines, vector databases, and knowledge graph integration.
- Background in deploying solutions for regulated industries (BFSI, GRC, SOC, Healthcare).
- Understanding of Responsible AI practices (safety, fairness, compliance).
Benefits and Growth Opportunities
- Opportunity to deploy cutting‑edge agentic platforms that redefine enterprise adoption.
- Fast‑growing category leader trusted by Fortune 500 enterprises.
- Career mobility into roles such as Solutions Architect, Principal Forward‑Deployed Engineer, or Product Strategy Lead.
- Global exposure working with leading enterprises across North America, Europe, APAC, and the Middle East.
- Drive business transformation by embedding AI agents into mission‑critical workflows.
- Culture of excellence with values of Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession.
- Responsible AI focus ensuring systems are trustworthy, explainable, and ethical.