Forward Deployed Engineer (Mid/Senior)

Quick Facts

• Role: Forward Deployed Engineer (Mid/Senior)

• Focus: Building and deploying agentic AI solutions in enterprise customer environments

Description

You’ll design, build, and deploy agentic AI solutions directly inside customer environments, partnering with a Deployment Strategist to co-build production systems from day one. The work spans configuration, customization, and full-stack deployment, with real code deployed into customer settings. You’ll also stay on the forefront of AI tool and model experimentation across Agentforce, data, platform, Slack, and headless architectures.

Responsibilities

• Develop AI agents and experiences that take real actions for real organizations

• Design agent intelligence (prompts, reasoning, tool calls, and integrations with customer systems)

• Implement secure authentication and authorization (OAuth, SSO, enterprise identity providers, API gateways)

• Own technical components end-to-end: architecture choice, deployed validation, and observability

• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms

• Model data, ship pipelines, and validate outputs

• Build and maintain agent performance dashboards and customer KPI reporting

• Contribute to proofs-of-concept and MVPs that move from sketch to deployable quickly

• Co-build with customers and partners; share best practices and enablement

• Surface platform gaps, edge cases, and field insights to senior engineers and product teams

• Translate customer business challenges into agentic solutions that ship

Requirements

• 3+ years (6–10 years for Senior) of software engineering or technical delivery experience with at least one production system

• Degree in Computer Science or related field

• Customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering)

• Fluency in at least one: Python, JavaScript/TypeScript, Java, or Apex

• Deep hands-on expertise with Slack platform architecture, including Slack APIs (Web, Events) and Bolt framework

• Experience integrating complex enterprise authentication flows

• Experience building/extending Slackbot systems as MCP Clients and Servers

• Hands-on experience with LLMs and prompt engineering

• Strong understanding of data modeling, APIs, and integration patterns

• Engineering rigor to evaluate AI outputs and ship quality code

• Comfort collaborating with sales teams and customer architects

• Willingness to travel ~25% of the time

Benefits

• Benefits and resources to support work-life balance and help you be your best

• Working with evolving agentic AI capabilities and delivering real customer impact