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Agentforce & Data 360 - Solution Engineer / Architect

Singapore - Singapore💼 Full-time🗓 2026-06-17 → 2026-07-31

Core

Senior technical leader designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform for customers.

Role type

Senior IC AI and Data Solution Engineer / Architect

Builds

Scalable, secure solutions integrating Salesforce D360, Agentforce, and external agent frameworks into complex enterprise ecosystems.

Domain

Enterprise AI, Data Engineering, CRM, Cloud Data Platforms

Deliverable

production ML models | product features | client delivery

Required skills

Enterprise data and AI architecture design, Salesforce Agentforce and D360 expertise, External agent ecosystem interoperability, Prompt engineering and lifecycle management, Hands-on prototype development, Machine learning concepts (predictive and generative AI), Modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift), Data ingestion patterns (batch, streaming, CDC), Programming (JavaScript, Python, SQL, R), Data frameworks (pandas, Jupyter)

Preferred skills

Advanced integration via APIs and open standards (MCP, A2A), Prompt governance and observability, Cross-platform integrations (Hyperscaler SDKs to Salesforce Flows), Multimodal pipelines (conversational voice), Advanced AI/ML frameworks (TensorFlow, Pytorch), MLOps practices, Cloud AI platforms (Google Vertex AI, AWS Sagemaker)

Technologies

Salesforce Agentforce, Salesforce D360, Data Cloud, MuleSoft, MCP, A2A, Snowflake, Databricks, BigQuery, Redshift, TensorFlow, PyTorch, Google Vertex AI, AWS Sagemaker

Responsibilities

Lead pre-sales technical design and recommend solutions aligned with Agentforce capabilities, Shape best practices around generative AI and agent interoperability, Collaborate to build hands-on prototypes and demos, Develop thought leadership content on agent lifecycle and integration strategy, Act as a central technical knowledge resource and enable specialist teams, Map and integrate external agents from hyperscalers into Agentforce, Configure chat and background agents using Agentforce Studio and Agent Builder, Lead prompt design, testing, monitoring, and iteration, Co-create quick prototypes demonstrating integration between Agentforce and external agents, Facilitate whiteboarding and deep-dive sessions for customers and internal teams, Integrate Data Cloud, CRM, MuleSoft APIs, and external agent endpoints, Oversee data modeling, identity resolution, and activation strategies within D360, Create and manage technical documentation and knowledge bases

Seniority

Senior, hands-on IC

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