Senior Gen AI Engineer, Salesforce Platform

Senior Gen AI Engineer, Salesforce Platform

Remote

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization.

With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world‑class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

As a Senior Gen AI Engineer, Salesforce Platform you will lead the development of AI-powered solutions across our Salesforce platform to streamline end‑to‑end business operations. Partnering with the Manager of Salesforce Operations and the Principal AI Architect, you will implement orchestrated AI agents using Salesforce Einstein, Agentforce, and Data Cloud, and deliver secure, scalable solutions via Apex, Visualforce, Lightning Web Components, and robust APIs.

You will leverage generative AI to enhance efficiency, reduce manual work, and create smarter systems and workflows across our organization. Candidates with a deep understanding of business operations and workflows are strongly preferred. You will play a critical role in delivering AI solutions and frameworks that drive transformative business value. This is a unique opportunity for full‑stack development to experiment and solve for multiple use cases, as well as an opportunity to help educate business stakeholders on the power of AI solutions.

• Design, develop, and deploy generative AI solutions that modernize business operations—automating workflows, surfacing insights, and delivering intelligent recommendations with a balance of speed, functionality, and long‑term scalability.
• Build, integrate, and operationalize AI agents and automations using Salesforce Agentforce (skills, actions, orchestration, guardrails) embedded within Sales, Service, and CPQ workflows.
• Implement Einstein/Agentforce solutions, including prompt flows, tools, and custom actions grounded in Salesforce Data Cloud for personalized retrieval and contextual experiences.
• Develop and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to connect Salesforce with internal and external systems such as CPQ, CLM, provisioning, licensing, ERP, and finance platforms.
• Engineer data interoperability across systems—collaborating with architects and data teams to break down silos, build ETL pipelines, and establish automated data workflows.
• Build and deploy retrieval‑augmented generation (RAG) patterns within Salesforce, implementing data indexing, grounding, safety measures, and evaluation loops.
• Collaborate closely with the Principal Architect and Principal AI Engineer to translate high‑level business objectives into production‑ready AI‑powered solutions
  , ensuring alignment with architectural and engineering best practices.
• Prototype rapidly to validate new generative AI use cases and transition successful proofs‑of‑concept into stable, scalable, maintainable production applications.
• Contribute to full‑stack development efforts—from API design to front‑end UI—when implementing AI features across various business systems.
• Drive and contribute to CI/CD pipelines
  , code reviews, and release management using modern tooling (SFDX, Git Hub Actions, Azure Dev Ops, etc.).
• Ensure compliance, data security, and governance across all AI and integration solutions, including considerations for PII, data residency, consent management, and auditability.
• Partner with business stakeholders (technical and non‑technical) to understand requirements, gather feedback, and continuously improve AI‑driven capabilities.
• Work alongside data scientists and AI specialists to evaluate and optimize prompt strategies, fine‑tune models, and implement organization‑specific AI enhancements.
• Lead knowledge sharing and enablement
  ,…