Forward Deployed Engineer - Belgium

SwiftCruit; Brussel Hoofdstad; Sur place; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits package

Support for work-life balance

Opportunities for professional growth through AI projects

Résumé du poste

SwiftCruit in Brussels is seeking a Forward Deployed Engineer to design, build, and deploy AI solutions for enterprise customers. The ideal candidate will have a strong technical background, preferably with 3+ years of experience in software engineering.

The role involves working directly with customers, building data pipelines, and integrating AI tools to deliver measurable business impact. Comprehensive benefits are provided, supporting work-life balance and professional growth.

Qualifications

• 3+ years of software engineering or technical delivery experience.
• Fluency in at least one programming language: Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on experience with LLMs and prompt engineering.
• Prior customer-facing technical delivery experience.

Responsabilités

• Collaborate with team members to deliver and ship components in production.
• Experiment with AI tools and share findings.
• Travel approximately 25% of the time to work directly with customers.

Connaissances

Software engineering

Technical delivery

Python

JavaScript/TypeScript

Java

Apex

Data modeling

APIs integration

Prompt engineering

AI tools

Formation

Degree in Computer Science or related field

Outils

Salesforce Data360

Snowflake

Databricks

Description du poste

About the Role

Salesforce is looking for Forward Deployed Engineers—technical builders who design, build and deploy agentic AI solutions directly inside enterprise customer environments.

What You’ll Build

• Ship AI agents and experiences that take real actions for real organisations, delivering measurable business impact.
• Design agent intelligence—including prompts, reasoning, tool calls, and integration with customer systems—using the Agentic AI platform and current LLM techniques.
• Own technical components end‑to‑end, from architecture choice through deployment, validation and observability in production.
• Build and integrate data pipelines on Salesforce Data360, Snowflake, Databricks, and customer data platforms; model the data, ship the pipeline, and validate the output.
• Build and maintain agent performance dashboards and customer KPI reports 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, surface field insights, and share best practices to make their teams more capable after each engagement.
• Provide surface‑level feedback to senior engineers and product teams about platform gaps, edge cases, and real‑world experience.
• Translate customer business challenges into agentic solutions that actually ship, in partnership with Deployment Strategists.

Responsibilities

• Collaborate with Senior Forward Deployed Engineers and Deployment Strategists in a delivery team.
• Own and ship real components in production environments, ensuring quality and reliability.
• Experiment with emerging AI tools, models and frameworks, sharing findings with team and customers.
• Travel approximately 25% of the time to work directly alongside customers.

Qualifications

• 3+ years of software engineering or technical delivery experience, with at least one production system you’re proud to demo.
• Degree in Computer Science or a related field.
• Prior customer‑facing technical delivery experience in consulting, professional services or forward‑deployed engineering (required).
• Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex, and willingness to expand as needed.
• Hands‑on experience with LLMs and prompt engineering; ability to diagnose and improve prompts.
• Deep understanding of data modelling, APIs and integration patterns sufficient to design, not just consume.
• Ability to communicate effectively with sales teams and customer architects.
• Ship quality code and evaluate AI outputs with engineering rigor.
• Genuine curiosity about the evolving AI/data landscape, with a habit of piloting new tools and models.
• Strong collaboration skills, thriving in a fast‑moving team environment.

Nice‑to‑Haves

• Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist).
• Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns.
• Hands‑on with cloud data platforms (Snowflake, Databricks, BigQuery).
• Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments.

Benefits

We provide a comprehensive benefits package, support work‑life balance, and offer opportunities to accelerate your impact through powerful AI agents.

Equal Opportunity Statement

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and are committed to creating a workplace that is inclusive and free from discrimination. All hiring decisions are based on merit, qualifications, and experience, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, disability, veteran status, age or other protected classifications. Recruiting, hiring, and all related employment actions are conducted fairly and consistently for all individuals.