Forward Deployed Engineer (FDE) (Mid/Senior Level)
salesforceOhio (PA)
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Posted today
salesforceOhio (PA)
SENIORITY
Lead
About the role
Overview:
As a Forward Deployed Engineer at Salesforce, you design, build, and deploy agentic AI solutions inside enterprise environments. You will work with a Deployment Strategist to co-create production-ready AI deployments that span multiple accounts. You’ll handle end-to-end delivery—from architecture to live production—through collaborative, customer-facing engagements. Join a frontier AI program where real code and measurable business impact meet cross-functional teamwork and continuous learning. Compensation / Benefits Time off programs Medical, dental, vision Mental health support Paid parental leave Life and disability insurance 401(k) and employee stock purchase program
Responsibilities:
Design and deploy agentic AI solutions in production environments Collaborate with Deployment Strategist to translate customer challenges into deployable AI solutions Own components end-to-end from architecture to production validation and observability Build and integrate data pipelines using Salesforce Data 360, Snowflake, Databricks, and customer data platforms Develop agentive prompts, tool calls, and integrations with customer systems Create dashboards and KPI reporting to monitor deployment health and business outcomes Contribute to proofs-of-concept and MVPs that move quickly to deployable status Co-build with customers and partners to raise team capability and share best practices Identify platform gaps and provide field insights to engineers and product teams
Key requirements:
3+ years of software engineering or technical delivery experience (6-10 years for Senior) with at least one production system in AI tech stack Degree in Computer Science or related field Customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) Proficiency in Python, JavaScript/TypeScript, Java, or Apex, and willingness to expand as needed Hands-on with LLMs and prompt engineering with ability to explain prompt outcomes and improvements Strong understanding of data modeling, APIs, and integration patterns Ability to engage with sales teams and customer architects and ship quality code Curiosity about evolving AI/data landscape and willingness to pilot new tools and models Willingness to travel ~25% of the time Collaborative mindset and ability to work in cross-functional teams Customer-facing communication and storytelling Proactive problem solving and ownership AI stack experience and full-stack development LLM prompts engineering and evaluation of AI outputs Experience with agent platforms (Agentforce)
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