Description:
We are seeking a visionary and hands-on Senior Engineer to lead the design and delivery of intelligent, data-driven solutions across our Salesforce ecosystem. This role will serve as a critical design authority within the Enterprise Applications team, driving innovation through Salesforce Data Cloud, AI/ML capabilities, and the deployment of autonomous agents such as Agentforce.
You will be responsible for architecting and building intelligent applications that leverage real-time and historical Salesforce data, integrate with enterprise data platforms, and apply AI to enhance automation, personalization, and decision-making. As a trusted partner to the business, you’ll work closely with stakeholders to translate strategic goals into scalable, secure, and high-impact technical solutions.
This role requires deep technical expertise in Salesforce, data engineering, and AI/ML, along with the ability to lead cross-functional teams and influence enterprise architecture decisions.
Key Responsibilities
- Design and develop intelligent solutions using Salesforce Data Cloud to unify, activate, and analyze customer data across channels.
- Lead the deployment and orchestration of autonomous agents, such as Agentforce, to automate workflows, enhance user experiences, and drive operational efficiency.
- Architect AI/ML-enabled features within Salesforce, including predictive analytics, intelligent routing, and generative AI applications.
- Build scalable data pipelines and APIs to support real-time and batch data flows between Salesforce and other enterprise systems.
- Collaborate with data scientists and analysts to operationalize models within Salesforce workflows and ensure business impact.
- Own the full development lifecycle: from design and prototyping to implementation, testing, deployment, and support.
- Ensure data governance, security, and compliance across all integrations and AI applications.
- Establish and enforce engineering best practices, including CI/CD, testing, documentation, and performance optimization.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Stay current with Salesforce platform updates, AI/ML trends, and data technologies to inform roadmap and strategy.
Preferred Qualifications
- 7+ years of experience in software engineering, with a strong focus on Salesforce and data-intensive applications.
- Proven experience integrating Salesforce with enterprise data platforms and building AI/ML-enabled features.
- Hands-on experience with Salesforce Data Cloud and agent frameworks like Agentforce.
- Proficiency in Apex, Lightning Components, Salesforce APIs, and data engineering tools Experience with AI/ML platforms (e.g., Azure ML, AWS SageMaker, Einstein AI) and model deployment strategies.
- Strong understanding of data architecture, governance, and security.
- Excellent communication and stakeholder management skills.
- Salesforce certifications and experience with Einstein AI are a plus.