AI Technical Architect
As an AI technical architect, you will drive the adoption of emerging AI technologies and solutions. Your expertise in machine learning, data infrastructure, and CRM will be instrumental in guiding customers through the process of realizing the full value of our platform.
Key responsibilities include:
* Providing technical leadership during pre-sales by assessing customer use cases and recommending optimal solutions.
* Championing standard methodologies around AI/ML, data pipelines, and the Salesforce platform to drive innovation and customer adoption.
* Creating and delivering relevant content, such as demos, videos, whitepapers, and enablement sessions, to establish yourself as a leader with vision for AI technology.
Requirements include:
* Several years of experience in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS.
* AI & ML Expertise: Experience with machine learning concepts, plus the ability to communicate value to diverse audiences.
* CRM & Data Knowledge: Familiarity with Salesforce CRM and modern data stacks; comfortable discussing governance, security, and integration.
* REST APIs & SDKs: Proven track record to leverage APIs and SDKs to build robust, scalable solutions.
* Hands-On Development: Proficiency in programming (e.g., JavaScript, Python, SQL) or Salesforce development (Apex, Lightning Web Components, etc.).
* Excellent Communication: Strong presentation skills; adept at explaining sophisticated ideas and guiding partners toward impactful solutions.
* Curiosity & Continuous Learning: Passion for exploring emerging AI research, frameworks, sharing insights, and experimenting with innovative technologies.
Preferred Requirements
* Agentforce or Salesforce CRM: Experience with Agentforce, Data Cloud, or Salesforce products.
* Data & Cloud Platforms: Familiarity with databases (Snowflake, Databricks), ETL processes, and cloud providers (AWS, Azure, GCP).
* Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms.
Office-flexible role, with a minimum expectation of 3 days in-office per week.