Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Salesforce
python
Ml
Ai
Job Details
Salesforce Architect with AI/ML (Python) Experience
Location: Remote
We are seeking a highly experienced Salesforce Architect with hands-on expertise in Python-based AI/ML development. The ideal candidate will be responsible for designing scalable Salesforce solutions integrated with intelligent, data-driven AI/ML services. You will collaborate closely with product owners, data scientists, and development teams to create smart business applications across CRM workflows.
Key Responsibilities:
Lead architecture and design of Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, and custom applications.
Design and implement Salesforce integrations with Python-based AI/ML services (e.g., predictive scoring, recommendation systems, NLP bots).
Architect end-to-end data pipelines from Salesforce to Python-based ML engines and back (e.g., using REST APIs, Heroku, Mulesoft, AWS Lambda).
Provide technical guidance on Apex, LWC, Visualforce, and custom metadata-driven configurations
Collaborate with data science teams to consume or expose ML models through APIs.
Ensure solutions adhere to platform best practices and enterprise architecture standards.
Lead code reviews, performance tuning, and security audits.
Drive DevOps maturity across Salesforce CI/CD (Gearset, Copado, or custom pipelines).
Stay up-to-date with Salesforce releases and AI/ML trends to recommend innovations.
Required Skills:
8+ years of Salesforce development and architecture experience.
Certified Salesforce Application/System Architect or equivalent.
Strong experience in Apex, Lightning Web Components, SOQL/SOSL.
3+ years of hands-on Python development experience, specifically for AI/ML applications.
Familiarity with popular ML libraries (scikit-learn, TensorFlow, PyTorch) and Python-based API frameworks (FastAPI, Flask).
Strong understanding of RESTful API design and security.
Experience with Heroku, AWS, or Azure for deploying ML services.
Strong knowledge of Salesforce data models, integrations, and platform limits.
Preferred Skills:
Experience with Einstein AI or Salesforce-native AI/analytics tools.
Exposure to MLOps pipelines, model deployment, and monitoring.
Experience in handling Salesforce Einstein GPT or integrating with OpenAI APIs.
Prior experience in financial services, healthcare, or retail domain CRMs is a plus.
Education:
Bachelor's or Master s in Computer Science, Engineering, or a related field.
Salesforce Architect certifications preferred.
AI/ML or Data Science certifications (e.g., Coursera, AWS, Google) are a plus.
Location: Remote
We are seeking a highly experienced Salesforce Architect with hands-on expertise in Python-based AI/ML development. The ideal candidate will be responsible for designing scalable Salesforce solutions integrated with intelligent, data-driven AI/ML services. You will collaborate closely with product owners, data scientists, and development teams to create smart business applications across CRM workflows.
Key Responsibilities:
Lead architecture and design of Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, and custom applications.
Design and implement Salesforce integrations with Python-based AI/ML services (e.g., predictive scoring, recommendation systems, NLP bots).
Architect end-to-end data pipelines from Salesforce to Python-based ML engines and back (e.g., using REST APIs, Heroku, Mulesoft, AWS Lambda).
Provide technical guidance on Apex, LWC, Visualforce, and custom metadata-driven configurations
Collaborate with data science teams to consume or expose ML models through APIs.
Ensure solutions adhere to platform best practices and enterprise architecture standards.
Lead code reviews, performance tuning, and security audits.
Drive DevOps maturity across Salesforce CI/CD (Gearset, Copado, or custom pipelines).
Stay up-to-date with Salesforce releases and AI/ML trends to recommend innovations.
Required Skills:
8+ years of Salesforce development and architecture experience.
Certified Salesforce Application/System Architect or equivalent.
Strong experience in Apex, Lightning Web Components, SOQL/SOSL.
3+ years of hands-on Python development experience, specifically for AI/ML applications.
Familiarity with popular ML libraries (scikit-learn, TensorFlow, PyTorch) and Python-based API frameworks (FastAPI, Flask).
Strong understanding of RESTful API design and security.
Experience with Heroku, AWS, or Azure for deploying ML services.
Strong knowledge of Salesforce data models, integrations, and platform limits.
Preferred Skills:
Experience with Einstein AI or Salesforce-native AI/analytics tools.
Exposure to MLOps pipelines, model deployment, and monitoring.
Experience in handling Salesforce Einstein GPT or integrating with OpenAI APIs.
Prior experience in financial services, healthcare, or retail domain CRMs is a plus.
Education:
Bachelor's or Master s in Computer Science, Engineering, or a related field.
Salesforce Architect certifications preferred.
AI/ML or Data Science certifications (e.g., Coursera, AWS, Google) are a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.