Forward Deployed Engineer - Sweden

Salesforce; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer to build agentic AI solutions for enterprise customers. You’ll work with AI tools like Cursor, Claude, and Salesforce coding products, own meaningful components end-to-end, and collaborate with Senior Forward Deployed Engineers and Deployment Strategists to deliver real customer outcomes.

Design prompts and integration patterns, develop data pipelines using Salesforce Data 360, Snowflake and Databricks, and build dashboards to track KPI health.

Qualifications

• 3+ years of software engineering or technical delivery experience.
• Degree in Computer Science or related field.
• Prior customer-facing technical delivery experience required.
• Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on with LLMs and prompt engineering; able to explain failures.
• Deep knowledge of data modeling, APIs, and integration patterns.
• Comfortable presenting to sales teams and customer architects.
• Willing to travel ~25% to work with customers.

Responsibilities

• Develop AI agents and experiences that take real actions for customers.
• Design agent intelligence including prompts and tool calls.
• Own technical components end-to-end from architecture to production.
• Build and integrate data pipelines with Salesforce Data 360, Snowflake, Databricks.
• Create agent performance dashboards and KPI reporting.
• Contribute to proofs-of-concept and MVPs.
• Collaborate with customers and partners to transfer knowledge.
• Surface gaps and provide product feedback.
• Partner with Deployment Strategist to translate challenges into solutions.

Skills

3+ years experience

Customer-facing delivery

Python/JS/Java/Apex

LLMs & prompt engineering

Data modeling & APIs

Team collaboration

Education

CS degree or related field

Tools

Python

JavaScript/TypeScript

Apex

LangChain

LlamaIndex

Snowflake

Databricks

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

About The Role

Production experience required. Builder mindset non-negotiable.

The Builder Experience

• AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools—Cursor, Claude, and Salesforce coding products like Vibes—embedded into your day-to-day workflow.
• Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
• Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months—spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
• Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.

What You’ll Actually Be Building

• 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.

You’re Our Forward Deployed Engineer If…

• You have 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.
• You have a degree in Computer Science or a related field.
• You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering)—this is a requirement, not a nice-to-have.
• You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex—and willing to add to that list as the work demands.
• You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
• You 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.

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.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications—without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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