Senior Forward Deployed Engineer
Core
Build and mature enterprise applications and internal productivity tools using AI, automation, and agentic systems to enhance GTM, Customer Success, and RevOps workflows.
Role type
Senior hands-on individual contributor (AI/ML Engineering & Platform)
Builds
Production agentic systems, RAG architectures, AI-assisted development workflows, and enterprise integration connectors for business operations.
Domain
Enterprise Software, AI/LLM Engineering, Customer Experience (CX), Revenue Operations
Deliverable
production ML models | product features | infrastructure
Required skills
Python, LLM application engineering, agentic AI systems, RAG architecture, enterprise integration (Salesforce, Oracle, MuleSoft), CI/CD for AI, cloud platforms (AWS/GCP/Azure), containerization, prompt engineering, observability.
Preferred skills
Salesforce/Oracle architect-level certification, LLM security expertise, ServiceNow/Zendesk AI automation, AWS serverless services, HashiCorp Vault.
Technologies
LangChain, LangGraph, MCP, Salesforce (Flows, Apex, Agentforce), Oracle, ServiceNow, Zendesk, MuleSoft, Workato, Datadog, Splunk, AWS, GCP, Azure, Docker, Kubernetes, GitHub Actions, Claude Code, Gemini Enterprise, GitHub Copilot.
Responsibilities
Prototype and ship internal AI tools to boost team throughput; design and deliver multi-agent orchestration systems; architect enterprise RAG over business data; establish AI engineering standards and mentor teams; lead integration design across SaaS ecosystems; own CI/CD and observability for AI workloads.
Seniority
Senior, hands-on IC