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Role Description
As an Agentforce Technical Architect , you’ll act as a trusted advisor to our customers, guiding them through the emerging AI solutions and ensuring they realize the full value of the platform. You’ll combine deep technical domain expertise in AI/ML, data infrastructure, and CRM with strong presentation and solutioning skills. Working side by side with our Account Executives, Solutions Engineers, Product, and Product Marketing teams, you will:
Provide technical leadership during pre-sales by assessing customer use cases, recommending optimal solutions, and shaping the overall technical vision for Agentforce within their ecosystem.
Champion standard methodologies around AI/ML (including agent-based models, predictive, and generative AI), data pipelines, and the Salesforce platform to drive innovation and customer adoption.
Create and deliver relevant content—demos, videos, white-papers, enablement sessions—to both internal and external audiences, establishing yourself as a leader with vision for Agentforce.
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Responsibilities
Tackle Sophisticated Problems : Research customer challenges, architect innovative AI/ML solutions, and drive key technical decisions
Drive Adoption & Value : Facilitate partner alignment on high-impact use cases that leverage AI, data pipelines, and Agentforce.
Showcase Real-World Solutions: Partner with Sales and Solutions Engineering to build compelling demos and prototypes that illustrate immediate ROI and practical use.
Facilitate Workshops & Education : Lead white-boarding sessions, training, and hands-on workshops to help customers and internal teams understand AI opportunities and challenges.
Develop Cross-Platform Solutions : Integrate data cloud, CRM, analytics tools, and cloud services (REST APIs, SDKs, data pipelines) into scalable, cohesive architectures.
Lead Technical Thought Leadership : Produce best-practice documentation, architectural diagrams, and enablement materials that highlight emerging AI trends and Agentforce innovations.
Requirements
Technical Pre-Sales/Consulting : Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS.
AI & ML Expertise : Experience with machine learning concepts (predictive and generative AI), 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. Actively stays up to date on new LLM models and agentic approaches , experimenting with prompt engineering to drive innovation.
Preferred Requirements
Agentforce or Salesforce CRM : Experience with Agentforce, Data Cloud, or Salesforce products (Sales Cloud, Service Cloud, Heroku).
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 (e.g., Google Vertex AI , AWS Sagemaker ). Hands-on work with Generative AI , Large Language Models (LLMs) , agent-based frameworks , and prompt engineering.
NOTE:This role is office-flexible, and the expectation is to be in-office a minimum of 3 days per week.
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Posting Statement
does not accept unsolicited headhunter and agency resumes.
For Washington-based roles, the base salary hiring range for this position is $185,220 to $247,730. For Illinois based roles, the base salary hiring range for this position is $185,220 to $247,730. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link:These jobs might be a good fit