Uses Cursor and AI assistants (Claude, Vibes) in day-to-day development and focuses on building agentic AI systems.
About the Role
Salesforce is hiring Forward Deployed Engineers to design, build, and deploy agentic AI solutions into enterprise customer environments, shipping production-quality code and integrations. The role is customer-facing and end-to-end, working with Deployment Strategists to deliver measurable business outcomes across data, platform, and agent architectures.
Job Description
Role
Forward Deployed Engineers at Salesforce design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You will deliver production systems that integrate with customer data platforms, ship observable and validated components, and collaborate with a Deployment Strategist to drive adoption and measurable business impact.
Key Responsibilities
- Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems using the Agentic AI platform and modern LLM techniques.
- Own technical components end-to-end from architecture choice to deployed and observable production systems.
- Build and integrate data pipelines on Salesforce Data 360 and cloud data platforms; model data, ship pipelines, and validate outputs.
- Build and maintain agent performance dashboards and customer KPI reporting to monitor deployment health and outcomes.
- Contribute to proofs-of-concept and MVPs that can move from sketch to deployable in days.
- Co-build with customers and partners, share best practices, and enable customer teams.
- Surface platform gaps and field insights to product and engineering teams.
- Work closely with sales teams and customer architects and travel to customer sites as required (~25% travel).
Requirements
- 3+ years of software engineering or technical delivery experience with production systems.
- Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - required.
- Degree in Computer Science or related field.
- Hands-on experience with LLMs and prompt engineering; able to diagnose prompt failures and iterate.
- Strong understanding of data modeling, APIs, and integration patterns.
- Ability to collaborate with sales teams and customer architects and to ship high-quality code with engineering rigor.
- Comfortable experimenting with emerging AI tools, models, and frameworks.
Nice-to-Haves
- Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist).
- Familiarity with agent frameworks and orchestration patterns (e.g., LangChain, LlamaIndex).
- Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
- Experience across specialist AI delivery areas such as data engineering, platform architecture, or headless deployments.
Additional Information
- The role is production-focused and requires a builder mindset.
- Structured mentorship is provided and the role partners with Senior Forward Deployed Engineers and Deployment Strategists in delivery pods.
- The position expects approximately 25% travel to work directly with customers.
Skills
Prompt Engineering Customer-facing Technical Delivery Full-stack Development Data Modeling API Design and Integration System Design Production Deployment Observability and Monitoring Collaborative Delivery Mentorship Experimentation with Emerging Tools Communication Problem Solving Quality-focused Engineering
Experience Level
Mid
Employment Type
- Structured mentorship
- Accommodations during the application/recruiting process
- Benefits and resources to support work-life balance
- Inclusive and accessible workplace initiatives