Senior Forward Deployed Engineer
Salesforce is hiring a Senior Forward Deployed Engineer in Zurich, Switzerland. Level rates it ; you can apply on Salesforce.
Level's read on this job
- On Level's scale, this forward deployed engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions LangChain, LlamaIndex and Databricks among its tools and skills.
- Level classes it as a senior role.
- Salesforce has 1,500+ other open roles on Level.
AI in this role
Senior Forward Deployed Engineer designing, building, and deploying agentic AI solutions directly inside enterprise customer environments.
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.
Job Category
SalesJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Experience
The Senior Forward Deployed Engineer is part of Salesforce's delivery organisation, responsible for designing, building, and deploying agentic AI solutions directly inside enterprise customer environments. In this role, you will work as part of a delivery pod — partnering closely with a Deployment Strategist to co-build solutions that go live in production environments from day one, spanning configuration, customisation, and full-stack deployment across some of the largest enterprises in the world.
We are looking for a Senior Forward Deployed Engineer who brings a builder mindset, strong production-grade engineering experience, and the ability to own and deliver complex technical components — someone who ships quality code, contributes to team knowledge, and leaves customer teams more capable after every engagement.
What You'll Actually Be Doing
Design and build AI agents and experiences that take real actions for real organisations — owning technical components end-to-end from architecture choice through to deployed, validated, and observable in production, including agent intelligence design, prompts, reasoning, tool calls, and integration with customer systems.
Build and integrate data pipelines on Salesforce Data Cloud, Snowflake, Databricks, and customer data platforms, and maintain agent performance dashboards and customer Key Performance Indicator (KPI) reporting to track deployment health and business outcomes.
Contribute to and help lead Proofs of Concept (PoC) and Minimum Viable Products (MVP) that move from concept to deployable in days — co-building alongside customers and partners and sharing best practices as you go.
Surface platform gaps, edge cases, and field insights to senior engineers and product teams — partnering with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
You're Our Person If...
You have 5 or more years of software engineering or technical delivery experience, with at least one production system you can walk us through — ideally in an AI technology stack, full-stack development, or working with frontier Large Language Models (LLMs).
You have solid customer-facing technical delivery experience in consulting, professional services, or forward deployed engineering, and are fluent in at least two of Python, JavaScript/TypeScript, Java, or Apex.
You have strong hands-on experience with LLMs and prompt engineering, a solid understanding of data modelling, Application Programming Interfaces (APIs), and integration patterns, and the ability to engage confidently with customer architects and sales teams.
You are excited to travel approximately 25% of the time, working directly alongside customers, and you thrive in fast-moving, build-oriented environments.
Even Better If...
You hold one or more Salesforce platform certifications such as Platform Developer I or Agentforce Specialist, and have familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns.
You have hands-on experience with cloud data platforms such as Snowflake, Databricks, or BigQuery, and experience across specialist AI delivery areas including data engineering, platform architecture, or headless deployments.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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.
How we rate this
Senior Forward Deployed Engineer at Salesforce rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical forward deployed engineer job
- $180k
This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where python was part of your work. What did you do?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, Python, Full Stack, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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