Senior Forward Deployed Engineer (Technical Builder)
Uses Cursor and AI assistants; building agentic AI solutions and integrating LLMs into production with rapid prototyping.
About the Role
Senior Forward Deployed Engineer at Salesforce to design, build, and deploy complex agentic AI solutions for enterprise customers, owning architecture and production delivery end-to-end. The role leads technical delivery, mentors engineers, and uses AI-assisted development tools to produce reference implementations and field-driven product improvements.
Job Description
Role
Senior Forward Deployed Engineer (Technical Builder) responsible for leading technical delivery and end-to-end ownership of agentic AI solutions deployed inside enterprise customer environments. You will partner with a Deployment Strategist to translate customer needs into production-grade architectures, mentor other engineers, and codify reusable patterns and frameworks.
Key Responsibilities
- Own architecture decisions, build, and production handoff for agentic AI deployments.
- Design and ship agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns on the Agentforce platform.
- Own data lifecycle tasks including model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
- Troubleshoot and resolve complex technical blockers (data integrations, model deployment, orchestration, performance regressions).
- Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
- Rapidly develop proofs-of-concept and MVPs, balancing speed with engineering judgment.
- Codify lessons learned into reusable assets, internal frameworks, and playbooks that guide other Builders.
- Mentor engineers through code reviews, pairing, and shared work; provide technical depth on at-risk or strategically critical deployments.
- Surface field insights directly to Product and Engineering to influence roadmap priorities.
- Travel approximately 25% to work embedded with customer engineering teams.
Technical Environment and Tools
- Daily use of AI-supported engineering tools such as Cursor, Claude, and Salesforce coding products like Vibes.
- Integration and deployment work across Salesforce Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- LLM integration using frameworks like LangChain or LlamaIndex; applied prompt engineering and responsible AI practices.
- Data platforms and tooling include Salesforce Data 360, Snowflake, and Databricks.
Requirements
- 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; conversant in the others.
- Experience integrating LLMs into production; familiarity with LangChain or LlamaIndex and prompt engineering/responsible AI practices.
- Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.
- Strong Salesforce platform expertise (Agentforce, Apex, LWC, Flows, Salesforce APIs).
- Proven mentoring experience and ability to create reusable assets and playbooks.
- Strong communication with engineering peers, customer architects, and executive stakeholders.
- Willingness to travel ~25%.
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.
- History of influencing product roadmaps through field engineering insights; open-source contributions, published writing, or conference presentations.
Other Notes
- Salesforce emphasizes accommodations during the application and recruiting process and is an equal opportunity employer. Boilerplate legal and “About Us” content removed.