124 Copilot Jobs - Page 3

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Location: Mumbai , Pune, Chennai, Hyderabad, Bangalore, Noida NP: Immediate-30 days We are looking for a Power Platform Developer to join our team In this role you will be responsible for designing developing and implementing solutions using the Microsoft Power Platform suite including Power Apps Power Automate and Power BI and Azure services The ideal candidate should have a strong background in software development experience with the Microsoft Power Platform Azure AI services skills and the ability to create solutions that improve business processes and decision making. Ideal candidate should be Total experience should be 8 years Develop and maintain applications using Microsoft Power Apps Automate business processes and workflows using Microsoft Power Automate Create data visualization and reporting solutions using Power BI Working experience with Copilot Studio to build Copilots Working experience with Azure AI services and Python data analytics skills Should be able to use Azure Open AI and other GenAI capabilities in Azure cloud Collaborate with business stakeholders to gather requirements and deliver custom solutions Integrate Power Platform solutions with other Microsoft services and thirdparty applications Ensure solutions are scalable maintainable and secure Provide technical support and training to users Stay updated with the latest features and updates in the Microsoft Power Platform Ability to understand the business process and create process flow diagrams when required Analyse business problems design technology solutions to these problems and manage the solution through the full life cycle Works in collaboration with projects teams to develop test Integrate implement and support solutions using RPA platform s Responsible for ensuring an efficient integration of programming deliverables timely builds and overall code quality Good communication and analytical skills with troubleshooting the issue on own Candidate should be ready to work in weekend and night shifts Power Platform Certification is added advantage Knowledge of Python is added advantage

Power Apps (MDA & Canvas) Power Automate (Cloud Flow and PAD) CoPilot Studio (Multi Agent, MCP, Azure AI Foundry) – atleast 1 project exp Azure PaaS Integration (Azure Functions/Logic Apps, Azure AI Foundry)

Dear Candidates , Please find the job description - Expert in Power Apps, Power Automate, Copilot Studio, Dataverse development 3 or more years of experience in power apps development 3 or more years of experience in power automate cloud & desktop flows development 1 or more years of experience in Approval Flows development 2 or more years of experience in Dataverse, Power Pages, AI Hub database 1 or more years of experience in Sharepoint development 1 or more years of experience in API Development 2 or more years of experience in Software Programming in any language 2 or more years of experience in Technical Consulting on Power Platform 4 years engineering degree in IT/Computer or equivalent 1 or more years of experience of Providing Support using ServiceNow Work timing: 2pm to 11:30pm Work mode - 2 days/month in Pune Magarpatta City office

Position Title: Senior Principal Software Engineer The Area: Morningstar Data for equities provides comprehensive coverage of global stock markets from as early as 1975. We are continuously broadening our coverage and creating new products to help clients prepare for regulatory changes and other industry shifts. Our data features proprietary statistics and is developed using stringent quality screens to ensure accuracy. From APIs to data feeds, our solutions are delivered quickly to help institutions meet a broad range of functions. The Role: In this role, you will collaborate with technology manager, scrum Master, functional experts, and developers to build technology solutions for Morningstar`s Equity applications. The team is looking for forward-thinking problem solvers who thrive in a fastpaced environment. The Lead is responsible in mentoring the team members, provide guidance and opportunities for the team members to expand their capabilities and skills. They will have to coordinate and work with the members in a global team. We are looking for an individual that can apply discipline, create solid software products. Responsibilities: • Design & develop web and enterprise solutions to be flexible, scalable & extensible.\ • Improve complex data flow, data structures and db design to move to next platform. • Enforce good agile practices like test driven development, Continuous Integration. • Hands-on development will be an integral part of the responsibilities. • Develop areas of continuous and automated deployment. • Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster. • Follow best practices like estimation, planning, reporting and improvement brought to processes in every day work. • Analyses and reviews system requirements. Uses requirement and other design documents to gain overall understanding of the functionality of the new or enhanced application. • Participate actively in the design, architecture and build phases, to aim at producing high quality deliverables. • Provide recommendations on product and development environment improvements. Requirements: These are the most important skills, qualities, etc. that we’d like for this role. • Minimum 12 Years of experience • Bachelor of Science in Computer Science, Engineering, or equivalent. • At least 2+ years as a software Lead/Architect • Demonstrated familiarity with AI-powered assistants (e.g., GitHub Copilot, ChatGPT) for code generation, debugging, and/or other technical tasks. • Hands-on in Java 8, Adv Java, Spring Framework • Strong knowledge and hands-on on micro-services based architecture. • Very Strong knowledge of databases and hands on MS SQL/MySQL/PostgreSQL or NoSQL DB DynamoDB/MongoDB. • Experience with building REST based APIs. • Experience in analysis, design, coding and implementation of large-scale, n-tier Java based platforms. • Knowledge of any JavaScript framework like Vue, Angular JS (version >2)/ NodeJS etc. • Be aware of activity in the open source world. Contributing back to open source is a big plus. • Distributed computing, with experience in cloud computing (Amazon Web Services platform and associated technologies) • Experience on agile practices • Experience with modern development practices in areas of Product design, Requirement Analysis, Test Driven Development, Automation & Unit Testing, in a product development environment. • Excellent listening, written and verbal communication skills. Good to Have: • Machine Learning knowledge. • Exposure to Capital Market domain preferred (Indexes, Equity etc.) Morningstar is an equal opportunity employer.

Key Responsibilities: Design, develop, and deploy low-code/no-code applications using Power Apps (Canvas and Model-Driven). Automate business processes using Power Automate Cloud Flows and Desktop Flows (RPA) . Build Approval Flows to support streamlined business decision processes. Design and manage data structures in Dataverse , and integrate Power Pages for user-facing portals. Leverage Copilot Studio and AI Hub for AI-driven automation and conversational experiences. Integrate Microsoft Power Platform with external systems via custom APIs and connectors. Collaborate with cross-functional teams to gather requirements and deliver scalable Power Platform solutions. Develop and manage SharePoint Online -based applications and integration scenarios. Utilize programming knowledge (e.g., C#, JavaScript, or equivalent) for advanced customizations. Offer ongoing technical consulting and solution architecture guidance for Power Platform projects. Provide user support and issue resolution through ServiceNow or similar platforms. Required Skills and Qualifications: 3+ years of experience in Power Apps development. 3+ years of experience with Power Automate Cloud Flows and Desktop Flows . 1+ year of experience developing Approval Flows . 2+ years of experience with Dataverse, Power Pages, and AI Hub . 1+ year of SharePoint Online development experience. 1+ year of API Development and integration experience. 2+ years of experience in software programming (any language). 2+ years in technical consulting for Power Platform implementations. 1+ year of experience in providing technical support via ServiceNow . Bachelor's degree in Computer Science, Information Technology, or equivalent.

Job Title / Primary Skill: .NET Full stack Development Management Level: G140 Years of Experience: 5 to 8 years Job Location: Bangalore (Hybrid) Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelor's degree) Primary Skills: C#. Net, SQL Server, React.js Job Description: We are a dynamic and innovative team working on cutting-edge applications for the healthcare industry. Your work will directly impact patients and the development of therapies that matter them. Our tech stack includes React.js, Next.js, SQL Server, and .NET 8. We are looking for a passionate Full Stack Developer who is eager to contribute to both the front-end and back-end of our projects, and who has an interest in integrating AI capabilities into modern applications. Key Responsibilities: • Develop, test, and deploy high-quality web applications using React.js, Next.js, .NET 8, and SQL Server. • Collaborate with cross-functional teams to design and implement scalable solutions. • Integrate and optimize AI functionalities and related tools to enhance application performance. • Utilize and maintain various development tools, including emerging AI-assisted (e.g., Cursor, Replit, GitHub Co-pilot and other industry-standard tools) to streamline development processes. • Troubleshoot, debug, and upgrade existing software applications. • Ensure application security, performance, and scalability through best practices in coding and architecture. • Participate in code reviews and contribute to team knowledge sharing. Required Skills and Qualifications: • 1-8 years of hands-on experience in full stack development. • Proficient in React.js and Next.js for front-end development. • Solid experience with SQL Server and database design. • Expertise in .NET 8 for back-end development. • Familiarity with AI concepts and the ability to integrate AI tools and solutions into applications. • Experience working with development tools such as Cursor, Replit, GitHub Co-pilot and similar platforms. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork abilities. • Curiosity, passion for learning and improving, and drive to grow in the role and the organization Preferred Qualifications: • Experience with cloud platforms and containerization technologies. • Knowledge of modern DevOps practices and CI/CD pipelines. • Familiarity with agile methodologies and collaborative project management tools.

Microsoft Copilot Studio;

Greetings of the Day !!! We have job opening for Power Platform (E2) - Copilot with one of our clients . If you are intertested for this position , please share update resume . Job Title: Power Platform Developer Notice Period: Immediate/15 Days Experience: 3-5 years Designing, implementing, and optimizing solutions using Microsoft Power Virtual Agents using Copilot Studio Deep understanding & Proven experience in Power Virtual Agents , M365 Copilot , and Copilot Studio Integrate virtual agents with various web applications, SharePoint, and other channels Ensure the security and compliance of virtual agent solutions Monitor and optimize the performance of virtual agents Provide technical support and troubleshooting for deployed solutions Experience in Azure AI Services

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

Role & responsibilities Lead and manage the Flutter development team , setting the technical direction and execution strategy. Drive the adoption and integration of AI-enabled coding assistants (e.g., Cursor.io , Copilot, ChatGPT) to optimize development workflows and accelerate delivery. Collaborate with cross-functional teams including Product, UI/UX, QA, and DevOps. Architect scalable, maintainable, and high-performance Flutter applications for Android and iOS. Define and implement coding standards, peer review practices, and testing protocols. Guide team through the full SDLC from design and development to deployment and post-release support. Encourage innovation and experimentation using modern tools and frameworks. Monitor app performance, security, and usage analytics; lead improvements accordingly. Mentor and support team members in both technical and career growth. Keep abreast of the latest in mobile development trends and AI tools for engineering productivity. Preferred candidate profile Hands-on experience with AI-powered development tools like Cursor.io and others collaborative code editor with AI support. Meeting stringent performance, security and compliance requirements. Ability to develop architectures and designs based on established design patterns and defined best practices, Streamline complete SDLC. Bachelors or Master’s in Computer Science, Engineering, or related field. Required hands on experience of 12-15 years on Digital and Mobile technology. Extensive experience in developing and designing mobile applications for both iOS and Android platforms. Should be proficient in various mobile development technologies and have a strong understanding of architectural patterns and best practices. Define the technical Architecture of IT Solutions in line with functional and non-functional requirements following consistent design patterns and best practices. Experience defining Digital Solutions for very high volumes with modern technologies

Preferred candidate profile Expert in Power Apps, Power Automate, Copilot Studio, Dataverse development 3 or more years of experience in power apps development 3 or more years of experience in power automate cloud & desktop flows development 1 or more years of experience in Approval Flows development 2 or more years of experience in Dataverse, Power Pages, AI Hub database 1 or more years of experience in Sharepoint development 1 or more years of experience in API Development 2 or more years of experience in Software Programming in any language 2 or more years of experience in Technical Consulting on Power Platform 4 years engineering degree in IT/Computer or equivalent 1 or more years of experience of Providing Support using ServiceNow Work timing: 2pm to 11:30pm 2 days/month in Pune Magarpatta City office

Dynamic Yield, a Mastercard company, is seeking a Senior Enterprise Operations Engineer to join our dynamic and entrepreneurial Employee Digital Experience team. This role focuses on the administration and management of multiple Microsoft 365 tenants for Mastercard and its mergers and acquisitions. The ideal candidate is passionate about continuous improvement, highly motivated, and possesses strong technical skills. You will play a pivotal role in our organization's digital transformation journey by managing existing tenants and implementing new capabilities, including automated flows and applications using Microsoft's Power Platform and Copilot . You'll collaborate closely with various teams across the company to identify automation opportunities, streamline processes, and enhance overall productivity. The Role As a Senior Enterprise Operations Engineer, you will: Microsoft 365 Expertise: Leverage your overall expertise and knowledge of Microsoft 365 tenants, with a focus on administration and management, serving as a strong technical base for the Employee Digital Experience team. Compliance & Data Governance: Apply knowledge and experience with Purview, retention management, and eDiscovery to ensure compliance and proper data handling. Power Platform Development: Administer and build automated flows and custom applications within Microsoft Power Platform (Power Apps, Power Automate) . Automation & Efficiency: Collaborate with cross-functional teams to identify automation opportunities, understand business processes, and recommend solutions that improve efficiency and reduce manual effort. Training & Support: Provide training and support to end-users to maximize their utilization of Microsoft 365 features. Reliability & Availability: Conduct thorough testing, debugging, and troubleshooting to ensure the reliability and availability of tenant features. Documentation: Create comprehensive documentation of tenant configurations, ensuring knowledge transfer and future scalability. Continuous Improvement: Stay up-to-date with the latest Microsoft 365 features and best practices to drive continuous improvement and innovation. Stakeholder Collaboration: Work collaboratively with operational teams, technical program managers, and key stakeholders to gather requirements, design solutions, and deliver on automation initiatives. All About You Microsoft 365 Administration: Proven experience administering Microsoft 365 tenants. Tenant Capabilities: Demonstrated experience with all tenant capabilities, including collaboration tools and automation, and Copilot . Retention & eDiscovery: Knowledge of retention and eDiscovery capabilities within Microsoft 365. Business Process Understanding: Strong understanding of business processes and the ability to identify automation opportunities. Problem-Solving: Excellent problem-solving skills and meticulous attention to detail. Communication & Collaboration: Effective communication and collaboration skills, with the ability to work seamlessly across diverse teams. Scripting: Experience with PowerShell scripting and other command-line interfaces. Analytical Skills: Demonstrate strong analytical, troubleshooting, and problem-solving skills. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach. Complete all periodic mandatory security training in accordance with Mastercard's guidelines.

Professional experience in AI, with a focus on Microsoft CoPilot and Copilot Studio. Hands-on experience with AI development platforms, including Power Platform, Microsoft Azure AI and other AI-related tools. Develop, customize, and integrate Microsoft CoPilot solutions tailored to business needs. Utilize Copilot Studio to design and implement AI-driven tools that improve efficiency and decision-making across various departments. Collaborate with stakeholders to understand business requirements and translate them into AI solutions. Monitor and fine-tune AI models to ensure performance and accuracy. Stay updated with the latest advancements in AI and Microsofts Copilot ecosystem to ensure the company remains at the cutting edge of technology. Provide technical support and training to internal teams for successful adoption of CoPilot features. Work on data analysis and natural language processing tasks to enhance automation capabilities. Troubleshoot and resolve any AI-related technical issues. Strong communication and collaboration skills, with the ability to explain complex AI concepts to non-technical stakeholders Mandatory Skills Microsoft CoPilotandCopilot Studio Good to Have Skills Power App, Power Automate, Logic app, Azure ADF, SQL