6 Agentforce Jobs

1. Salesforce Experience : At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. 2. Agentforce Experience : At least 2 years of experience with Salesforce Agentforce, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. 3. AI and Machine Learning Experience : At least 2 years of experience with AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. 4. Programming Skills : Strong proficiency in programming languages, such as Python, Java, and Apex. 5. Data Analysis and Visualization : Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. 6. Communication and Collaboration : Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : 1. Einstein Analytics : Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. 2. Einstein Prediction Builder : Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. 3. Einstein Discovery : Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. 4. AI-Powered Solutions : Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. 5. Integration : Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. 6. Data Preparation : Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. 7. Model Training and Deployment : Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. 8. Solution Deployment : Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : 1. Salesforce Experience : At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. 2. Agentforce Experience : At least 2 years of experience with Salesforce Agentforce, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. 3. AI and Machine Learning Experience : At least 2 years of experience with AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. 4. Programming Skills : Strong proficiency in programming languages, such as Python, Java, and Apex. 5. Data Analysis and Visualization : Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. 6. Communication and Collaboration : Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Role & responsibilities Job Description: Salesforce Senior Engineer We are seeking a highly skilled and experienced Salesforce Senior Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing advanced Salesforce solutions, ensuring seamless integration with other enterprise systems. This role requires a deep understanding of Salesforce architecture, best practices, and the ability to lead complex projects. Key Responsibilities Design, develop, and implement scalable Salesforce solutions tailored to business needs. Lead the end-to-end Salesforce development lifecycle, including design, development, testing, and deployment. Deep and broad knowledge of the Salesforce platform, including Agentforce, Salesforce Einstein features, Sales Cloud, Service Cloud, Experience Cloud, Data Cloud Collaborate with cross-functional teams to gather requirements and ensure seamless integration with other systems. Develop custom applications using Apex, Lightning Web Components (LWC), and Visualforce. Maintain data integrity and security by implementing best practices and Salesforce governance policies. Provide technical leadership and mentorship to junior developers and team members. Stay updated with the latest Salesforce features, releases, and best practices. Preferred candidate profile Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of experience as a Salesforce Developer or Engineer. Strong proficiency in Apex, Lightning Web Components (LWC), Visualforce, and Salesforce APIs. Experience with Salesforce integration tools such as MuleSoft or similar middleware solutions. Deep and broad knowledge of the Salesforce platform, including Agentforce, Salesforce Einstein features, Sales Cloud, Service Cloud, Experience Cloud, Data Cloud. Salesforce certifications (e.g., Platform Developer I & II, Application Architect) are highly desirable. Excellent problem-solving skills and ability to work in a fast-paced, agile environment. Strong communication skills, with the ability to collaborate effectively with cross-functional teams. Preferred Skills Experience with CI/CD tools and version control systems (e.g., Git, Bitbucket). Knowledge of Salesforce CPQ, Marketing Cloud, or Service Cloud is a plus. Familiarity with Agile methodologies and project management tools (e.g., Jira).

Role & responsibilities Expertise in Agentforce and its application within Salesforce environments. Proficiency in Data Cloud and data management best practices Preferred candidate profile

Mandatory Skills-Strong understanding of Salesforce integration techniques and tools. Expertise in Agentforce and its application within Salesforce environments. Proficiency in Data Cloud and data management best practices. Description: Proven experience as a Salesforce Engineer or similar role. Strong understanding of Salesforce integration techniques and tools. Expertise in Agentforce and its application within Salesforce environments. Proficiency in Data Cloud and data management best practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Job description We are looking for a skilled and detail-oriented Salesforce Developer to join our development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance. This role requires strong technical expertise, problem-solving skills, and the ability to work collaboratively in an Agile environment. Responsibilities Develop and customize Salesforce applications using Apex, Visualforce, and the Lightning Framework. Configure and manage Salesforce security settings to ensure data integrity and visibility. Utilize declarative automation tools within Salesforce to streamline business processes. Implement and oversee Salesforce deployment strategies. Design and maintain robust Salesforce data models to ensure optimal performance and scalability. Develop and maintain integrations between Salesforce and external systems using REST and SOAP APIs. Collaborate with project managers and other stakeholders to define and meet project milestones. Skills Required: 2 to 5 years of hands-on experience in Salesforce development. Strong Experience with Apex, Trigger, LWC, Aura etc. Experience in integrating Salesforce with external systems using tools like Workbench, and third-party APIs, along with handling complex data migrations using Data Loader. Proficiency in SQL and SOQL to efficiently query, manage, and manipulate large datasets within Salesforce. Strong experience in testing and debugging Salesforce solutions, including writing unit tests for Apex classes, triggers, and ensuring high code coverage to meet Salesforce best practices. Must have PD 1 Certification Strong Experience of Service and Data cloud, Agentforce other clouds also considerable. A proven success record in the implementation of Salesforce projects. Comprehensive knowledge of the software development life cycle, including specification, documentation, quality assurance, and deployment.