Lead Forward Deployed Engineer
Salesforce7 days ago
Madrid, SpainStaff+
Responsibilities
- Own end-to-end architecture, development, deployment, and production handoff of agentic AI solutions for strategic enterprise customers.
- Design and ship Agentforce systems involving agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
- Own data modeling, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
- Resolve complex data integration, model deployment, orchestration, and performance issues.
- Build agent performance dashboards and customer KPI reporting to monitor deployment health and business outcomes.
- Develop proofs of concept and MVPs and make sound tradeoffs between speed and long-term correctness.
- Create reusable assets, internal frameworks, playbooks, and reference implementations based on customer work.
- Mentor engineers through code reviews, pairing, and shared implementation work.
- Provide senior technical leadership on strategically critical or at-risk deployments.
- Partner with Deployment Strategists to translate customer business challenges into deployable agentic AI solutions.
- Communicate technical recommendations to engineering peers, customer architects, and executive stakeholders.
- Share customer insights and emerging technology learnings with Product, Engineering, teammates, and customers.
Requirements
- At least 6 years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
- Bachelor’s degree in Computer Science or a related field.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with familiarity with the others.
- Production experience integrating LLMs, using frameworks such as LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices.
- Deep experience with data modeling, processing, and analytics, including platforms such as Salesforce Data 360, Snowflake, or Databricks.
- Deep Salesforce platform expertise with Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- Experience mentoring technical talent and creating reusable frameworks, playbooks, or internal tooling.
- Clear and credible communication with engineering peers, customer architects, and executive stakeholders.
- Willingness to travel approximately 25% of the time and work embedded with customer engineers.
- Fluency in Spanish and English.
- Ability to experiment with evolving AI, data, models, and frameworks and apply sound judgment in fast-moving delivery environments.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee well-being.
- The role involves approximately 25% travel and customer-embedded work.
- Salesforce provides workplace accommodations through its accommodations request process.
Tech Stack
Categories
Forward Deployed
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.