What does a Forward Deployed Engineer do at Pronix?

Forward Deployed Engineers at Pronix are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer (FDE) — Salesforce Agentforce & Enterprise AI role?

The Forward Deployed Engineer (FDE) — Salesforce Agentforce & Enterprise AI role at Pronix typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Pronix remote?

Remote availability varies by Pronix FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Pronix

Forward Deployed Engineer (FDE) — Salesforce Agentforce & Enterprise AI

Remote Mid Posted September 22, 2026

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Role Description

Remote (US)·AIImplementation

Embed with enterprise customers to deliver Agentic AI and CX solutions, with deep focus on Salesforce Agentforce agents, Einstein and Service Cloud integrations.

Responsibilities

Co-locate with customer teams to design, prototype and ship Agentforce agents, prompts, actions and guardrails in production Salesforce environments.
Build retrieval-augmented generation (RAG), agent orchestration and CRM-integrated workflows across Salesforce Service Cloud, Sales Cloud and Data Cloud.
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 Salesforce Agentforce, Einstein AI, Prompt Builder, Flows, Apex and Data Cloud integrations.
Strong grasp of LLM behavior, agent evaluation, security and enterprise CRM data governance.

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.