Design and validate complex, end-to-end agentic architectures that leverage the synergy between Predictive (ML), Generative (LLMs), and Agentic (Action-oriented) AI.
Act as a technical consultant to CIO/CDO/CISO personas, guiding them through AI/Data strategy, interoperability, and the "Trust Layer" requirements for enterprise AI.
Lead and execute high-impact Proof of Concepts (PoCs) and "Agentforce Workshops," translating complex customer requirements into working prototypes in customer sandboxes.
Own the technical design of Data Cloud as the foundational layer for AI, integrating with enterprise systems like Snowflake, Databricks, and BigQuery using Zero-ETL and real-time patterns.
Partner with Account Executives and Solution Engineers to shape technical close strategies grounded in architectural feasibility for emerging AI capabilities.
Produce high-fidelity technical assets—architecture diagrams, reference models, and demos—to enable the broader Salesforce community on the latest AI trends.
Collaborate closely with Salesforce Product & Engineering to provide "Voice of the Customer" feedback, influencing the roadmap for Agentforce and Data Cloud.

Minimum 7+ years of experience in a Technical Architect, Data Engineering, or AI/ML-focused Solution Engineering role.
Deep knowledge of enterprise data management, including identity resolution, data modeling, and ETL/ELT patterns.
Strong proficiency with Python, SQL, or Apex, and a willingness to get hands-on with code to build rapid prototypes and RAG pipelines.
Proven understanding of the architectural principles of LLMs, vector databases, prompt engineering, and the orchestration of autonomous agents.
Elite storytelling and presentation skills; able to translate complex AI workflows into clear business outcomes for executives, while maintaining deep technical credibility with data scientists and engineers.
Solid understanding of cloud-based platforms (SaaS/PaaS) and security frameworks (SOC2, HIPAA, GDPR) as they relate to AI and Data privacy.
Bachelor's degree in Computer Science, Data Science, Software Engineering, or equivalent STEM field.

Lead Data & AI Architect

Key skills