Principal Solution Engineer - Ai And Data Cloud

Salesforce

Not specified; not specified; not specified
Not specified
10+ years hands-on data architecture experience
Deep fluency with salesforce agentforce and d360
Experience integrating external agents via mcp and a2a standards
Salesforce is seeking a Principal Solution Engineer specializing in AI and Data Cloud to design and operationalize enterprise-grade solutions using their Agentforce platform. The role emphasizes technical leadership, collaboration with clients, and the development of AI-driven architectures to enhance customer success

Job Summary

  • This role serves as a senior technical leader responsible for designing scalable, secure AI architectures that integrate Salesforce D360 into complex enterprise ecosystems.
  • Candidates will lead pre-sales technical design, shape best practices around generative AI, and collaborate with Account Executives to build hands-on prototypes using Agentforce.
  • Salesforce offers a culture where ambition meets action, providing resources to find balance and leveraging AI agents to accelerate impact for employees.

Matching Summary

Match Score: 85

Salesforce is seeking a Principal Solution Engineer specializing in AI and Data Cloud to design and operationalize enterprise-grade solutions using their Agentforce platform. The role emphasizes technical leadership, collaboration with clients, and the development of AI-driven architectures to enhance customer success.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • 10+ years hands-on data architecture experience
  • Deep fluency with Salesforce Agentforce and D360
  • Experience integrating external agents via MCP and A2A standards
  • Proficiency in Python, JavaScript, SQL, and data frameworks
  • Expertise in modern cloud data platforms like Snowflake or Databricks

Nice-to-have

  • Passion for exploring new AI frameworks and technologies
  • Experience with MLOps practices and TensorFlow/PyTorch
  • Background in cross-platform integrations and hyperscaler SDKs
  • Exposure to conversational voice pipelines and multimodal integrations
  • Familiarity with prompt governance and observability frameworks

Key Requirements

  • 10+ years of hands-on experience in data and AI architecture
  • BS in Computer Science, Engineering, Data Science, or equivalent
  • Proven track record in prompt engineering and agent lifecycle management

Work Rights

Not specified

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