Lead Forward Deployed Engineer

Salesforce; Zürich; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

Salesforce is seeking a Lead Forward Deployed Engineer to design, build, and deploy agentic AI solutions inside enterprise environments. You will lead a delivery pod—partnering with a Deployment Strategist to co-build production-ready solutions from day one.

You will mentor engineers, drive complex technical deliveries, and translate customer requirements into scalable AI capabilities that ship. This role involves hands-on engineering, customer collaboration, and travel up to 25%.

Qualifikationen

• 7+ years of software engineering or technical delivery experience.
• Extensive customer-facing technical delivery experience; fluent in two or more of Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on experience with LLMs and prompt engineering, APIs, and data modelling; able to lead technical conversations with customer architects and executives.

Aufgaben

• Lead the design and build of AI agents and experiences that take real actions for real organisations — owning complex 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 oversee agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Lead PoCs and MVPs that move from concept to deployable in days — co-building with customers and partners, sharing best practices, and enabling customer and partner teams as you go.
• Serve as a senior technical voice in your pod — surfacing platform gaps, edge cases, and field insights to product teams, mentoring junior engineers, and partnering with Deployment Strategist to translate complex customer business challenges into agentic solutions that actually ship.

Kenntnisse

Python

JavaScript/TypeScript

Java

Apex

LLMs

Prompt engineering

Data modelling

APIs

Integration patterns

Customer-facing delivery

Jobbeschreibung

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

Sales

Job 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 Lead 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 lead 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 Lead Forward Deployed Engineer who brings a builder mindset, deep production‑grade engineering experience, and the ability to lead complex technical deliveries — someone who ships quality code, mentors fellow engineers, and leaves customer teams more capable after every engagement.

What You'll Actually Be Doing

• Lead the design and build of AI agents and experiences that take real actions for real organisations — owning complex 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 oversee agent performance dashboards and customer Key Performance Indicator (KPI) reporting to track deployment health and business outcomes.
• Lead Proofs of Concept (PoC) and Minimum Viable Products (MVP) that move from concept to deployable in days — co‑building alongside customers and partners, sharing best practices, and enabling customer and partner teams as you go.
• Serve as a senior technical voice in your pod — surfacing platform gaps, edge cases, and field insights to product teams, mentoring junior engineers, and partnering with the Deployment Strategist to translate complex customer business challenges into agentic solutions that actually ship.

You're Our Person If

• You have 7 or more years of software engineering or technical delivery experience, with multiple production systems you can walk us through — ideally in an AI technology stack, full‑stack development, or working with frontier Large Language Models (LLMs) at scale.
• You have extensive customer‑facing technical delivery experience in consulting, professional services, or forward deployed engineering, and are fluent in two or more of Python, JavaScript/TypeScript, Java, or Apex.
• You have deep hands‑on experience with LLMs and prompt engineering, expert‑level understanding of data modelling, Application Programming Interfaces (APIs), and integration patterns, and the ability to lead technical conversations with customer architects and executive stakeholders.
• You are excited to travel approximately 25% of the time, working directly alongside customers, and you thrive leading teams in fast‑moving, build‑oriented environments.

Even Better If

• You hold multiple Salesforce platform certifications such as Platform Developer I, Agentforce Specialist, or Architect‑level credentials, and have deep familiarity with agent frameworks such as LangChain or LlamaIndex and orchestration patterns.
• You have expert‑level experience with cloud data platforms such as Snowflake, Databricks, or BigQuery, and a strong track record 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.

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.

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.