MCG Health
We lead the healthcare community to deliver patient-focused care.
Senior Gen AI Engineer, Salesforce Platform
Location
United States
Posted
136 days ago
Salary
$154.3K - $216K / year
Bachelor Degree8 yrs expEnglishAWSAzureCloudERPETLFlaskPythonSOAPVisualforce
Job 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
Job 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/
Related Guides
Related Job Pages
More AI Engineer Jobs
AI Engineer139 days ago
Full TimeRemoteTeam 11-50H1B No Sponsor
AI Engineer leading the integration of intelligent systems at HouseAccount
DjangoFlaskJavaScriptPythonRubyRuby on RailsTypeScript
United States
AI Engineer140 days ago
Full TimeRemoteTeam 1,001-5,000Since 1998H1B Sponsor
Senior AI Engineer developing innovative software features at Constant Contact
AWSPythonPyTorch
Principal AI Engineer
TENEX.AIAI-Enabled Cybersecurity Services. backed by a16z, we’re redefining how security operates in an AI-driven world.
AI Engineer142 days ago
Full TimeRemoteTeam 11-50Since 2024H1B No Sponsor
Principal AI Engineer leading AI development for cybersecurity solutions
Distributed SystemsDockerGRPCJavaKubernetesMicroservicesPythonRustGo
Florida + 1 moreAll locations: Florida, Kansas
AI Engineer142 days ago
Full TimeRemoteTeam 1-10Since 2017H1B No Sponsor
AI Engineer designing scalable AI models for banking applications.
AirflowAWSAzureCloudDockerEC2GrafanaKubernetesNumpyPandasPrometheusPythonPyTorchScikit-LearnTensorflow