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Pronix

Forward Deployed Engineer (FDE) — CX & Agentic AI Platforms

Remote Mid Posted September 23, 2026

Role Description

Remote (US)·AIImplementation

Embed with enterprise customers to design, prototype and ship Agentic AI and CX solutions across leading platforms — Salesforce Agentforce, Kore.ai, Amazon Connect + Bedrock, Genesys Cloud, NICE CXone and Azure AI.

Responsibilities

  • Co-locate with customer teams to design, prototype and ship AI agents, prompts, actions and guardrails in production contact-center and CRM environments.
  • Build retrieval-augmented generation (RAG), agent orchestration and integrations across contact-center platforms, Service Cloud-class CRMs and enterprise data estates.
  • Translate business outcomes into working AI capabilities, run enablement workshops and hand off sustainable runbooks to customer teams.

Requirements

  • 5+ years in enterprise consulting, forward-deployed engineering or AI implementation roles.
  • Hands-on with at least two of: Salesforce Agentforce, Kore.ai, Amazon Connect/Lex/Bedrock, Genesys Cloud, NICE CXone, Azure AI or Copilot Studio.
  • Strong grasp of LLM behavior, agent evaluation, security and enterprise data governance.

Practice

Pronix.ai is a specialized AI & CX Systems Integrator. This role delivers our Forward Deployed Engineering practice — from strategy and pilots to production outcomes.

Apply

Send your CV and a brief note to [email protected].

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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