Agentforce Engineer Salesforce

Capgemini; United States; Remote; USD 62,000 - 97,000; Full time

Benefits offered by this job

Medical benefits

Retirement benefits

Job summary

Capgemini is seeking a Salesforce Data & AI Engineer to support Employee Success initiatives within the Salesforce environment. You will design, develop, test, and maintain data-driven and AI-powered solutions, collaborating with engineering and business stakeholders.

The role requires independence, strong problem solving, and end-to-end delivery from requirements to production. Remote contract positions are available with competitive hourly pay in the US market.

Qualifications

• Strong Python experience for MCP development.
• Experience with Salesforce Apex and Flow.
• Experience with Salesforce Data Cloud and Agentforce/Salesforce AI.
• REST API and system integration experience.

Responsibilities

• Design, develop, and maintain Salesforce Apex, Flow, and Agentforce solutions.
• Develop AI agent workflows, actions, and integrations.
• Work with Salesforce Data Cloud for data modeling, querying, and integration.
• Develop and maintain integrations between Salesforce, Slack, APIs, and external services.
• Work with Snowflake and SQL for data querying, validation, transformation, and analysis.
• Troubleshoot application, integration, data, and AI-agent issues across environments.
• Develop unit tests and ensure Apex test coverage.
• Support code reviews, deployment, QA/UAT validation, and production releases.
• Collaborate with Salesforce engineering, product, and business stakeholders to translate requirements.
• Document technical implementations and provide knowledge transfer.
• Work independently and own assigned features and issues.

Skills

Python

Salesforce Apex

Salesforce Flow

Salesforce Data Cloud

Agentforce / Salesforce AI

Snowflake

SQL

REST API

Git-based dev

Debugging

Independent work

Tools

Slack APIs

Job description

Remote

Contract (4 months 1 day)

Published 2 months ago

Snowflake

apex

SQL

Agentforce

We are looking for an experienced Salesforce Data & AI Engineer to support ongoing Employee Success initiatives within the Salesforce environment. The engineer will work closely with Salesforce engineering and business stakeholders to design, develop, test, and maintain data-driven and AI-powered solutions.

The role requires someone who can work independently, understand business requirements, troubleshoot complex issues, and deliver end-to-end technical solutions.

Key Responsibilities

• Design, develop, and maintain solutions using Salesforce Apex, Flow, and Agentforce.


• Develop and enhance AI agent workflows, actions, and integrations.


• Work with Salesforce Data Cloud for data modeling, querying, and integration.


• Develop and maintain integrations between Salesforce, Slack, APIs, and external services.


• Work with Snowflake and SQL for data querying, validation, transformation, and analysis.


• Troubleshoot application, integration, data, and AI-agent issues across environments.


• Develop unit tests and maintain appropriate Apex test coverage.


• Support code reviews, deployment, QA/UAT validation, and production releases.


• Collaborate directly with Salesforce engineering, product, and business stakeholders to understand requirements and translate them into technical solutions.


• Document technical implementations and provide knowledge transfer when required.


• Work independently and take ownership of assigned features and technical issues.

Required Skills

• Strong experience with Python - to be able to develop MCPs


• Experience Data Serialization & Validation packages in Python


• Exeperience with Networking & Transport Layers in Python


• Salesforce Apex and Salesforce Flow good to have


• Experience with Salesforce Data Cloud


• Experience with Agentforce / Salesforce AI solutions


• Experience working with Snowflake


• REST API and system integration experience


• Experience with Git-based development and deployment processes


• Strong debugging and problem-solving skills


• Ability to work independently with client engineering and business stakeholders

Preferred Skills

• Experience with Slack integrations / Slack APIs


• Experience building AI/LLM-powered applications or integrations


• Experience with MCP or similar AI integration frameworks


• Understanding of data engineering and data modeling concepts


• Experience working in Agile software development environments

Candidate Profile

The ideal candidate is a hands-on engineer who is comfortable working across Salesforce development, data engineering, AI/Agentforce solutions, and Model Context Protocol (MCP) integrations. The individual should have experience building or supporting MCP-based services and integrating AI agents with enterprise data and systems.

The candidate should be able to independently own technical requirements from initial analysis through implementation, testing, deployment, and production support while collaborating directly with engineering and business stakeholders.

The pay range that the employer in good faith reasonably expects to pay for this position is $44.85/hour - $70.07/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.