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AI/ML Engineer - Salesforce Platform

Argus Consulting
Multiple Locations
5 - 7 Years

Posted on: 04/12/2025

Job Description

Description :

About the job

We are seeking a skilled professional to design and implement advanced Salesforce solutions integrated with AI/ML capabilities.

The role involves building intelligent workflows, personalized recommendations, and automation using Salesforce (Einstein/ Einstein GPT) and external AI technologies.

Key responsibilities include developing RAG pipelines with LLMs, creating custom bots, managing CI/CD processes, and ensuring scalability, security, and performance of deployed models.

Collaboration with cross-functional teams and staying current with generative AI advancements is essential.

- Design, develop, test, document, and deploy Salesforce solutions based on business needs.

- Develop and deploy AI/ML models for real-time decision-making and automation.

- Integrate AI/ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights.

- Enhance Salesforce applications with advanced AI features using both native (Einstein/Einstein GPT) and external technologies (Python-based models or Azure/AWS ML services).

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows.

- Extend platform functionality using Apex (Triggers/Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services.

- Create custom AI-powered automation solutions including Einstein Bots and bespoke bots for sales/service processes.

- Manage CI/CD processes with Git to ensure efficient deployment of updates.

- Collaborate with product managers, engineers, and data teams to identify opportunities for impactful AI-driven enhancements in the Salesforce ecosystem.

- Ensure scalability, security/compliance (especially regarding sensitive customer data), reliability and performance of deployed models in production environments.

- Monitor model accuracy and relevance; continuously improve user experience through feedback loops.

- Stay current with advancements in generative AI (including transformers), enterprise-grade integrations/platforms/tools; evaluate applicability to organizational needs.

MUST HAVE SKILLS :

1. Bachelor's degree in Computer Science, Information Systems, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous

2. 5-7 years of experience

3. AI/ML Expertise : Building and deploying models for real-time decision-making and automation.

- Integration Skills : AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python-based models or Azure/AWS ML services).

- Generative AI Knowledge : Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using vector databases


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