Forward Deployed Engineer - Czech Speaker

Salesforce; Dublin; On-site; EUR 120,000 - 170,000; Full time

Job summary

Salesforce is seeking a Senior Forward Deployed Engineer to own end‑to‑end delivery of agentic AI solutions for strategic customers in Ireland. You’ll combine deep software engineering with field experience to influence product direction and ensure production quality, from data modeling to deployment.

You’ll mentor other engineers, collaborate with Deployment Strategists, and travel up to ~25% to work closely with customer teams while applying responsible AI practices and Salesforce platform

Qualifications

• 6+ years of software engineering or technical delivery with end-to-end ownership in AI/enterprise SaaS.
• Degree in Computer Science or related field.
• Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex; others are familiar.
• Experience integrating LLMs into production and using prompt engineering.
• Deep experience in data modeling, processing and analytics with Salesforce Data 360, Snowflake or Databricks.
• Salesforce platform expertise: Agentforce, Apex, LWC, Flows and APIs.
• Entrepreneurial mindset focused on fast, impact-driven delivery.
• Mentored engineers and created reusable assets and playbooks.
• Clear, credible communication with engineers, architects and stakeholders.
• Willingness to travel ~25% and work with customer engineers; strong English and Czech.

Responsibilities

• Own end‑to‑end build and deployment of agentic AI solutions for strategic customers.
• Design and ship agentic systems on the Agentforce platform, including multi‑agent orchestration.
• Manage data lifecycle: design, pipelines, data readiness for AI across platforms.
• Resolve blockers in data integration, model deployment, and orchestration.
• Build and maintain agent performance dashboards and KPI reporting.
• Develop proofs‑of‑concept and MVPs with appropriate risk management.
• Codify learnings into playbooks and reusable assets for the org.
• Mentor engineers via code reviews, pairing, and knowledge sharing.
• Provide technical depth on critical deployments when needed.
• Surface field insights to Product and Engineering for roadmap input.
• Collaborate with Deployment Strategists to translate business challenges into solutions.

Skills

6+ years experience

Software engineering

LLMs in production

Python

JavaScript/TypeScript

Java

Apex

Salesforce APIs

Education

Degree in Computer Science

Tools

Salesforce Data 360

Snowflake

Databricks

LangChain

LlamaIndex

Apex

LWC

Job description

Job Category

Sales

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.

Senior Builder Experience

• Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end‑to‑end. You’re the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether they were generated by an AI tool by a colleague or written by you directly.
• AI‑Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
• Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real‑life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution.
• Continuous Innovation: You’re expected to stay at the forefront — piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

What You’ll Actually Be Building

• Own end‑to‑end build and deployment of agentic AI solutions for Salesforce’s most strategic customers — from architecture decisions through production handoff.
• Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi‑agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
• Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer‑specific platforms.
• Resolve the technical blockers that other engineers can’t — data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
• Develop proofs‑of‑concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
• Codify what you learn. The patterns, reusable assets and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
• Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you’re building in.
• Provide technical depth on at‑risk or strategically critical deployments when senior engineering judgment is needed.
• Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real‑customer environments are some of the most valuable inputs to the Agentforce roadmap.
• Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.

You’re Our Senior Forward Deployed Engineer If…

• You have 6+ years of software engineering or technical delivery experience, with proven end‑to‑end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
• You have a degree in Computer Science or a related field.
• You’re an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
• You’ve integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
• You have deep experience in data modeling, processing and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
• You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows and Salesforce APIs.
• You have an entrepreneurial, get‑things‑done mindset focused on fast, impactful delivery — and the judgment to know when “fast” is the wrong call.
• You’ve mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.
• You communicate clearly and credibly with engineering peers, customer architects and executive stakeholders.
• 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’re excited to travel ~25% of the time, embedded with customer engineers.
• High level of proficiency in English and Czech.

Nice‑to‑Haves

• Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
• Familiarity with DevOps/CI‑CD practices, observability tooling or data governance frameworks.
• Experience architecting multi‑cloud, multi‑system enterprise AI solutions for Global 500 customers.
• Track record of influencing enterprise software product roadmaps through field engineering insight.
• Open‑source contributions, published technical writing or conference presentations.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request.

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 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.