7+ years technical architect or solution engineering experience
Deep knowledge of enterprise data management and etl/elt patterns
Strong proficiency with python, sql, or apex coding
This role serves as the technical authority on Agentforce and Data Cloud, bridging the gap between enterprise data ecosystems and autonomous AI
Job Summary
This role serves as the technical authority on Agentforce and Data Cloud, bridging the gap between enterprise data ecosystems and autonomous AI.
The successful candidate will act as a trusted advisor to C-level executives while leading hands-on Proof of Concepts and translating complex requirements into production-ready architectures.
Salesforce offers comprehensive benefits including wellbeing reimbursement, generous parental leave, and fertility benefits to support work-life balance.
Matching Summary
This role serves as the technical authority on Agentforce and Data Cloud, bridging the gap between enterprise data ecosystems and autonomous AI.
Skills & Requirements
Must-have
7+ years Technical Architect or Solution Engineering experience
Deep knowledge of enterprise data management and ETL/ELT patterns
Strong proficiency with Python, SQL, or Apex coding
Understanding of LLM architectural principles and vector databases
Experience designing agentic AI systems and RAG pipelines
Solid understanding of cloud platforms and security frameworks
Nice-to-have
Hands-on experience with Snowflake, Databricks, or BigQuery
Familiarity with Salesforce metadata framework and certifications
Experience building multi-step business process automation agents
Elite storytelling and presentation skills for executive audiences
Background in ANZ market high-maturity AI customer sectors
Key Requirements
Minimum 7+ years in Technical Architect, Data Engineering, or AI/ML Solution Engineering
Bachelor's degree in Computer Science, Data Science, or equivalent STEM field
Experience in Enterprise or Commercial sectors within the ANZ market