Customer-Facing AI Deployment Engineer

Salesforce

Dublin

On-site

EUR 120,000 - 170,000

Full time

14 days+

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Job summary

Salesforce Ireland, Dublin Hub, seeks a Forward Deployed Engineer to design, build, and deploy AI agent architectures and data integrations across enterprise systems. You will work with a Deployment Strategist to deliver production-grade solutions using Agentforce and Data 360, interfacing directly with customers to translate requirements into robust architectures.

The role combines hands-on coding with strategic guidance, enabling rapid MVP delivery and close collaboration with core product

Qualifications

3+ years of hands-on software engineering experience in full-stack, data, or cloud architecture environments.
Customer-Facing Delivery: Proven track record in professional services, technical consulting, or forward deployed engineering.
Core Technical Stack: Proficiency in at least one object-oriented or modern scripting language (Python, TypeScript/Node.js, Java, or Apex) alongside strong API design (REST/GraphQL) experience.
AI & LLM Mechanics: Practical experience working with LLMs, prompt engineering, agent orchestration (e.g., LangChain, LlamaIndex, or native frameworks), and evaluation metrics.
Data Systems: Strong foundation in relational data modeling, SQL, and modern cloud data warehouses.
Work Authorization: Must be legally eligible to work in Ireland / European Union.
Proficiency in one of the following languages is a plus: Greek, Czech or Turkish.
Proficiency in English is mandatory

Responsibilities

Hands-on Agentic Development: Write, test, and ship production‑grade code to build intelligent agents, custom prompt pipelines, tool‑calling mechanisms, and execution frameworks using Python, JavaScript/TypeScript, Java, or Apex.
Enterprise Integration & Data Engineering: Model and connect enterprise data sources across Salesforce Data 360, Snowflake, Databricks, and customer CDPs to power real‑time agent context and actions.
System Observability & Performance: Build and monitor agent evaluation frameworks, performance dashboards, and key business KPIs to ensure reliability and safety in production environments.
Rapid Prototyping & Delivery: Take complex customer requirements from architectural concept to live production MVPs within days or weeks.
Product Feedback Loop: Surface technical blockers, API gaps, and architecture insights back to core R&D teams to refine the Agentforce platform roadmap.
Technical Advisory: Co‑lead architecture reviews with customer CTOs, Enterprise Architects, and engineering teams to establish best practices for agent deployment.