Senior Forward Deployed Engineer (Technical Builder) at Salesforce

About the Role

Technical depth required. Architectural judgment expected. Salesforce is hiring Senior Forward Deployed Engineers — the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer‑facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end‑to‑end, from architecture decision to production. Your passion for well‑crafted software that solves real problems will be supported by best‑in‑class AI tools and a team of talented builders around you.

Responsibilities

• Partner with a Deployment Strategist to own customer outcomes end‑to‑end.
• Serve as senior technical authority in the room, ensuring deliverables meet the highest engineering standards.
• Use AI‑supported engineering tools such as Cursor, Claude, and Salesforce coding products like Vibes in daily workflow.
• Influence roadmap by feeding field experience to Product and Engineering.
• Lead continuous innovation by piloting emerging AI tools, experimenting with new models and frameworks, and sharing learning with team and customers.
• 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 integration patterns that hold up in enterprise environments.
• Own data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer‑specific platforms.
• Resolve technical blockers that other engineers cannot, including data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
• 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, making judgment about which decisions can be deferred and which need to be right the first time.
• Codify learning into reusable assets and internal frameworks that become the playbooks for the rest of the organization.
• Mentor other engineers through code reviews, pair sessions, and shared work.
• Provide technical depth on at‑risk or strategically critical deployments when senior engineering judgment is needed.
• Surface field insights directly to Product and Engineering.
• Partner with the Deployment Strategist to translate complex customer business challenges into agentic solutions that actually ship.

Qualifications

• Fluent in German and English.
• 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.
• Degree in Computer Science or related field.
• Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
• Experience integrating LLMs into production, using frameworks like LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices in real customer contexts.
• Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.
• Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
• Entrepreneurial, get‑things‑done mindset focused on fast, impactful delivery — and the judgment to know when “fast” is the wrong call.
• Mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.
• Clear communication with engineering peers, customer architects, and executive stakeholders.
• Active engagement with evolving AI/data landscape, piloting new tools, experimenting with new models, and staying curious about the future.
• Will travel approximately 25% of the time, embedded with customer engineers.

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.

Benefits

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.

Equal Opportunity Employer

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We are committed to equality and creating a workplace that reflects society. The policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.