Forward Deployed Solutions Engineer, Agentic Systems
XenonStack · Mohali, India ·
- Work mode
- Hybrid
- Category
- Solutions engineering
- Experience
- 3+ years
- Company size
- 51-200
XenonStack · Mohali, India ·
XenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.
We build enterprise-grade platforms across the agentic stack:
Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.
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 workflowswith 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.
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.
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).
At XenonStack, we believe in shaping the future of intelligent systems. We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.
Our Cultural Values
Agency – Be self-directed and proactive.
Taste – Sweat the details and build with precision.
Ownership – Take responsibility for outcomes.
Mastery – Commit to continuous learning and growth.
Impatience – Move fast and embrace progress.
Customer Obsession – Always put the customer first.
Our Product Philosophy
Obsessed with Adoption – Making agentic systems enterprise-ready and accessible.
Obsessed with Simplicity – Turning complex deployments into seamless, intuitive experiences.
Be part of our mission to accelerate the world’s transition to AI + Human Intelligence — by deploying Agentic AI systems that transform enterprises at scale.