MCG Health

We lead the healthcare community to deliver patient-focused care.

Senior Gen AI Engineer, Salesforce Platform

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500H1B SponsorCompany SiteLinkedIn

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 Job Pages

More AI Engineer Jobs

AI Engineer

HouseAccount

The easiest way to manage your home

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
United States
$127.6K - $159.5K / year

Principal AI Engineer

TENEX.AI

AI-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

Senior AI Engineer

SkillTude Talent Solutions

Your Personalised Talent Acquisition Partner

AI Engineer142 days ago
Full TimeRemoteTeam 1-10Since 2017H1B No Sponsor

AI Engineer designing scalable AI models for banking applications.

AirflowAWSAzureCloudDockerEC2GrafanaKubernetesNumpyPandasPrometheusPythonPyTorchScikit-LearnTensorflow
Michigan
$1,500K / year