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 DataCloud, 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.
You will:
- 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, andution of integrating 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
What We’re Looking For:
- 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
Pay Range: $154,300-216,000
Other compensation: Bonus Eligible
Perks & 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/
Remote with Moderate Travel (4- 8 trips per year)
This is a remote position, and does require occasional travel, typically between 4-8 times per year. All travel expenses will be covered in accordance with company policy.
The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements.
We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.
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