Agentic AI Engineer — Production Deployments

Salesforce; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Salesforce is looking for Forward Deployed Engineers to design, build, and deploy agentic AI solutions inside enterprise environments. You’ll work with a Deployment Strategist to co-build measurable AI outcomes and ship real code that delivers business impact from day one.

You’ll join a delivery team responsible for AI-powered agent development, data pipelines, and dashboards, with opportunities to influence product direction and drive adoption across multiple accounts.

Qualifications

• 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models.
• Degree in Computer Science or a related field.
• Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have.
• Fluent in Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands.
• Hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
• Understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
• You can hold your own in a room with sales teams and customer architects.
• You ship quality code and evaluate AI outputs with engineering rigor.
• You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
• You thrive in the group chat that's building something, not just talking about it.
• You're excited to travel ~25% of the time, working directly alongside customers.

Responsibilities

• Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
• Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
• Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
• Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.

Skills

Software engineering

Prompt engineering

LLMs

APIs

Python

JavaScript/TypeScript

Java

Apex

Customer-facing delivery

Education

Computer Science degree

Job description

Salesforce is looking for Forward Deployed Engineers to design, build, and deploy agentic AI solutions inside enterprise environments. You’ll work with a Deployment Strategist to co-build measurable AI outcomes and ship real code that delivers business impact from day one.

You’ll join a delivery team responsible for AI-powered agent development, data pipelines, and dashboards, with opportunities to influence product direction and drive adoption across multiple accounts.