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Salesforce is seeking a hands-on Forward Deployed Engineer to build AI agent architectures and enterprise data integrations. You will work in a dedicated pod with a Deployment Strategist to design, deploy production-grade code using Python, TypeScript, Java, or Apex.
You'll connect data sources across Salesforce Data 360, Snowflake, Databricks, and CDPs to power real-time agent context. You will prototype MVPs quickly and participate in architecture reviews with CTOs and engineering teams.
Data Systems: Strong foundation in relational data modeling, SQL, and modern cloud data warehousesAI & LLM Mechanics: Practical experience working with LLMs, prompt engineering, agent orchestration (e.g., LangChain, LlamaIndex, or native frameworks), and evaluation metricsCustomer-Facing Delivery: Proven track record in professional services, technical consulting, or forward deployed engineeringProficiency in English is mandatory3+ years of hands‑on software engineering experience in full‑stack, data, or cloud architecture environmentsWork Authorization: Must be legally eligible to work in Ireland / European UnionCore Technical Stack: Proficiency in at least one object‑oriented or modern script language (Python, TypeScript/Node.js, Java, or Apex) alongside strong API design (REST/GraphQL) experienceProficiency in one of the following languages is a plus: Greek or TurkishHands‑on experience with Salesforce core development (Platform Developer I, Apex, LWC) or certifications (e.g., Agentforce Specialist, Salesforce Certified Data Cloud Consultant)Familiarity with continuous integration/continuous deployment (CI/CD) tooling and modern AI development tooling (e.g., Cursor, Claude, enterprise IDE extensions)Background in deploying solutions within highly regulated European enterprise environments (e.g., GDPR, EU AI Act compliance standards)