Principal Data & AI Architect - Pre-Sales
Salesforce9 hours ago
Responsibilities
- Lead pre-sales technical design and recommend Agentforce solutions integrated with external agent frameworks.
- Design and operationalize enterprise data and AI architectures using Salesforce Data 360 and Agentforce.
- Build hands-on prototypes and demos with Account Executives and Sales Engineers, including integrations with external agents and services.
- Lead customer pre-sales workshops, whiteboarding sessions, technical deep dives, and internal enablement.
- Define practices for agent interoperability, prompt engineering, agent lifecycle management, governance, monitoring, and observability.
- Configure conversational and background agents and integrate voice and other external channels through hyperscaler APIs.
- Advise on data modeling, identity resolution, data graphs, real-time and batch patterns, activation strategies, and enterprise integrations.
- Create technical documentation, demo templates, whitepapers, knowledge bases, FAQs, and enablement materials.
- Support early proof-of-value engagements by tuning agents and helping customers become self-sufficient.
Requirements
- At least 7 years of hands-on experience designing and delivering enterprise data, analytics, and AI architectures in technical pre-sales or consulting environments.
- Strong understanding of external agent ecosystems and interoperability.
- Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.
- Knowledge of machine learning concepts, including predictive and generative AI, and ability to communicate their value to diverse audiences.
- Deep expertise with modern cloud data platforms including Snowflake, Databricks, BigQuery, and Redshift, plus batch, streaming, and CDC ingestion patterns.
- Programming proficiency in JavaScript, Python, SQL, or R, with experience using data frameworks such as pandas or Jupyter.
- Strong presentation, communication, customer advisory, and technical enablement skills.
- Hands-on Salesforce Agentforce experience and deep fluency with Data 360 and Salesforce platform services preferred.
- Experience integrating Salesforce with external agents through APIs and open standards such as MCP and A2A preferred.
- Experience with prompt governance, observability, monitoring frameworks, hyperscaler SDK integrations, Salesforce Flows, conversational voice pipelines, or multimodal integrations preferred.
- Exposure to TensorFlow, PyTorch, MLOps practices, Google Vertex AI, or AWS SageMaker preferred.
Benefits
- Salesforce offers benefits and resources intended to support balance and employee well-being.
- Salesforce is an equal opportunity employer and provides reasonable accommodation during the application and recruiting process.
Tech Stack
Categories
Solutions Engineering
About Salesforce
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