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We are seeking a visionary and hands-on Senior Engineer / Tech Lead 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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Salesforce certifications and experience with Einstein AI are a plus
What we offer:
401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage