Описание

Salesforce is hiring Senior Forward Deployed Engineers, who are technical builders responsible for leading the design, building, and deployment of complex agentic AI solutions directly inside enterprise customer environments. You will lead technical delivery, mentor other engineers, and set engineering standards for agentic AI deployment.

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.
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 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.
Develop proofs-of-concept and MVPs quickly, with judgment to prioritize decisions.
Codify patterns, reusable assets, and internal frameworks from customer work.
Mentor other Engineers through code reviews, pair sessions, and shared work.
Provide technical depth on at-risk or strategically critical deployments.
Surface field insights directly to Product and Engineering to influence the Agentforce roadmap.
Partner with the Deployment Strategist to translate complex customer business challenges into agentic solutions.

Requirements

10+ 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 a related field.
Expertise 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.
Deep experience in data modeling, processing, and analytics, with demonstrable proficiency 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, with good judgment.
Experience mentoring technical talent and creating reusable assets (frameworks, playbooks, internal tooling).
Clear and credible communication with engineering peers, customer architects, and executive stakeholders.
Active engagement with the evolving AI/data landscape, piloting new tools, experimenting with new models, and staying curious.
Ability to travel to customer sites as needed.
High level of proficiency in Hebrew and English.

Nice to have

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.

We offer

Our benefits and resources support you to find balance and be your best.
AI agents accelerate your impact so you can do your best.

Hiring process

Please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via Accommodations Request Form.