Senior Gen AI Engineer, Salesforce Platform

October 30

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MCG Health

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Healthcare Insurance • SaaS • Enterprise

MCG Health is a company that provides evidence-based clinical decision support and care management solutions for healthcare organizations. They offer software and services that help payers, providers, and patients make informed and effective care decisions. MCG Health works with government healthcare agencies, provider networks, and healthcare software vendors to integrate their guidelines into clinical workflows and utilization management. Their solutions are designed to help improve patient outcomes and streamline care coordination across various healthcare settings.

201 - 500 employees

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

📋 Description

• Design and deploy generative AI solutions to address internal operational challenges, such as automating routine workflows, summarizing data, and generating intelligent recommendations, while balancing speed, function, and long-term scalability • Build AI agents and automations with Agentforce (skills, actions, orchestration/guardrails) embedded in Sales/Service/CPQ workflows • Implement Einstein Copilot/Studio solutions (prompt flows, tools, actions) grounded in Data Cloud for retrieval and personalization • Create and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to integrate CPQ, CLM, provisioning, licensing, and finance/ERP, and other systems • Collaborate across teams to flatten data silos and streamline data access including ETL pipelines and automated workflows • Build RAG-style patterns on Salesforce: indexing relevant objects/data in Data Cloud; implement grounding, safety, and evaluation loops • Serve as the technical lead for strategic planning, development, and integration of AI solutions across business operations • Partner with business leaders, both technical and non-technical, to understand requirements and translate them into AI-powered solutions. • Harden solutions for security/compliance (data residency, PII handling, row‑level access, audit, consent • Contribute to CI/CD (SFDX, scratch orgs, Git branching), code reviews, and release management • Rapid prototyping of generative AI applications • Full-stack development from proof-of-concept to front-end UI • Evaluate, measure, and improve performance on a continuous basis • Collaborate with business stakeholders to prioritize new use cases for development and obtain feedback on existing solutions • Fine-tune language models and other AI capabilities to address organization-specific needs for custom use cases • Provide leadership, mentorship, and education to teams on leveraging AI solutions to improve operational effectiveness, fostering adoption and comfort with new technologies. • Work with data scientists and business stakeholders to rigorously evaluate various strategies of optimizing prompts • Stay up to date on industry developments

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field • 8+ years Salesforce engineering; 3+ years AI/automation at scale; proven delivery in Sales Cloud/Service/CPQ. • Proven hands on experience with Salesforce Einstein, Agentforce, and Salesforce DataCloud • Strong Apex, LWC, SOQL/SOSL; Visualforce for legacy support; deep knowledge of limits and performance tuning • Proficiency in Python for AI service development; ability to read/extend notebooks; build lightweight APIs (FastAPI/Flask); write evaluation scripts; interact with LLM endpoints • API design and integration experience (REST/SOAP, Platform Events, External Services; MuleSoft or equivalent a plus). • Practical AI engineering experience: prompt design, tool calling, grounding/RAG, evaluation, guardrails, observability. • Data design across Salesforce and Data Cloud (identity resolution, data sharing, segment activation). • CI/CD with SFDX and modern tooling (e.g., GitHub Actions, Azure DevOps, etc.) • Excellent collaboration with architects, admins, and business stakeholders • Familiarity with Azure or AWS cloud computing • Experience with process mapping, workflow design, and identifying operational inefficiencies • Experience in change management to drive adoption and integration of AI solutions across the organization. • Problem-solving, consultative mindset with the ability to translate business challenges into AI-powered solutions • Ability to work autonomously • Excellent written and verbal communication skills with the ability to present to both technical and non-technical audiences, and executive audiences • Strong knowledge of software engineering best practices • Strong knowledge of business operations • Strong problem-solving and troubleshooting ability • Strong analytical ability for solving operational problems • Embody the ideals of the Ideal Team Player

🏖️ Benefits

• 💻 Remote work • ✈️ Travel expected 4-8 times per year for company-sponsored events • 🩺 Medical, dental, vision, life, and disability insurance • 📈 401K retirement plan; flexible spending and health savings account • 🏝️ 15 days of paid time off + additional front-loaded personal days • 🏖️ 14 company-recognized holidays + paid volunteer days • 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave • 🌈 LGBTQ+ Health Services • 🐶 Pet insurance • 📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/