Perception Engineer – Computer Vision & Edge AI | Zürich

Overview

Salesforce is hiring Senior Forward Deployed Engineers – the Technical Builders – who build, deploy, and own the most complex agentic AI solutions directly inside enterprise customer environments.

The role requires deep technical ownership, architectural judgment, mentoring, and close collaboration with customers, deployment strategists, and product teams.

Responsibilities

• 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 withstand enterprise environments.
• Manage the 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, such as 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, judging which decisions can be deferred and which must be right the first time.
• Codify learnings into patterns, reusable assets, and internal frameworks that become playbooks for the organization.
• Mentor other engineers through code reviews, pair sessions, and shared work within the same codebases.
• Provide technical depth on at‑risk or strategically critical deployments when senior engineering judgment is required.
• Surface field insights directly to Product and Engineering, informing the Agentforce roadmap.
• Collaborate with the Deployment Strategist to translate complex customer business challenges into measurable agentic solutions.
• Travel up to 25% of the time and embed with customer engineers.

Qualifications

• 6+ years of software engineering or technical delivery experience with end‑to‑end ownership of scalable production systems in AI, cloud, or Saa S environments.
• Degree in Computer Science or a related field.
• Experience integrating LLMs into production, using frameworks like Lang Chain or Llama Index, and applying prompt engineering and responsible AI practices in real customer contexts.
• Deep expertise in data modeling, processing, and analytics across platforms such as Salesforce Data 360, Snowflake, or Databricks.
• Strong Salesforce platform skills: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
• Entrepreneurial, get‑things‑done mindset focused on fast, impactful delivery with the judgment to know when speed is the wrong call.
• Proven mentorship and creation of reusable assets – frameworks, playbooks, internal tooling.
• Clear, credible communication with engineering peers, customer architects, and executive stakeholders.
• Fluent in German and English.
• Nice-to-Haves
• Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).
• Familiarity with Dev Ops/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.
• Equal Employment Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment.

All hiring decisions are based on merit and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, age, disability, veteran or marital status, political viewpoint, or any other classification protected by law.

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