Senior Forward Deployment Engineer
About the role
Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post-deployment optimization. Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery. Customize platform components as needed—integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross-functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents.
Qualifications
- Undergraduate, master’s degree or Phd in Computer Science or Data Science
- 6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles
- Proven success building and deploying AI/ML or data-intensive applications in production
- Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD)
- Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI)
- Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage
- Ability to translate ambiguous customer needs into actionable engineering plans
- Strong leadership, mentoring, and project ownership abilities
- Excellent communication and collaboration across technical and business stakeholders