Senior Gen AI Engineer, Salesforce Platform

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, 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, GitHub Actions, Azure DevOps, 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, mentoring teams and fostering adoption of AI technologies throughout the organization.
• Monitor, evaluate, and iterate on AI solution performance to ensure quality, accuracy, and measurable business value.
• Stay current on industry advancements in AI, automation, and Salesforce innovation, integrating relevant learnings into the organization’s technology roadmap.

What We’re Looking For:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 8+ years of Salesforce engineering experience and 3+ years delivering AI or automation solutions at scale within enterprise environments.
• Proven success modernizing legacy Salesforce orgs and implementing scalable architectures across Sales Cloud, Service Cloud, and Revenue (CPQ).
• AI & Automation:
  • Hands-on experience with Salesforce Einstein, Agentforce, and Data Cloud; practical AI engineering skills in prompt design, tool calling, RAG/grounding, evaluation, guardrails, and observability.
• Technical Skills:
  • Apex, Lightning Web Components (LWC), SOQL/SOSL, and Visualforce (for legacy support).
  • Proficiency in Python for AI service development, including FastAPI/Flask APIs, evaluation scripts, and LLM endpoint integration.
  • Strong API design and integration experience with Salesforce (bi-directional, streaming, and external APIs).
  • CI/CD experience using SFDX and modern tooling (GitHub Actions, Azure DevOps, etc.).
  • Familiarity with Azure or AWS cloud environments.
• Data Architecture:
  • Experience designing and managing data across Salesforce, Data Cloud, and other business systems including identity resolution, data sharing, and segment activation.
• Operational & Business Acumen:
  • Skilled in process mapping, workflow design, and identifying operational inefficiencies to enable AI-driven improvements.
• Change Enablement:
  • Experience driving adoption and integration of AI solutions across business functions.
• Excellent communication and presentation abilities with technical and non-technical stakeholders, including executives.
• Strong problem-solving, analytical, and troubleshooting capabilities.
• Collaborative, consultative mindset with the ability to translate business needs into technical solutions.
• Comfortable working autonomously in fast-paced, evolving environments.
• Embodies the principles of the Ideal Team Player: humble, hungry, and smart.
• Certifications:
  • • Required:
      • Salesforce Certified Platform Developer I & II.
    • Preferred:
      • JavaScript Developer I, Platform App Builder, Salesforce Certified Data Cloud Consultant or Platform Data Architect, and Salesforce Certified Integration Architect.
      • Trailhead Superbadges or credentials (Agentforce, Apex Specialist, Data Cloud)

Pay Range: $154,300-216,000

Other compensation: Bonus Eligible

Perks & Benefits:

💻 Remote work

✈️ Travel expected 4-8times 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 4-8times 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.