Salesforce Tech Lead - Data & AI

At Zelis, we Get Stuff Done. So, let’s get to it!

Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients.

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you’ve learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

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.

• 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.

• 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 Sage Maker, 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.

Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.

We have offices in Atlanta GA, Boston MA, Morristown NJ,…