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Senior Gen AI Engineer, Salesforce Platform

1 hour, 46 minutes ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS Azure CI/CD FastAPI Flask GitHub Actions JavaScript LLM Python REST API Salesforce Salesforce Apex Salesforce Lightning
Apply Now
MCG Health

MCG Health

MCG Health, part of the Hearst Health network, independently develops evidence-based clinical guidelines and software solutions to support healthcare organizations in making informed care decisions. Their products are used by over 2,200 clients, includ...

Internet Software & Services
251-1K
Founded 1988
View All Jobs 10

Description

  • Design, develop, and deploy generative AI solutions that automate workflows, surface insights, and deliver intelligent recommendations.
  • Build and operationalize AI agents and automations within Salesforce Sales, Service, and CPQ workflows using Agentforce.
  • Implement Einstein and Agentforce solutions grounded in Salesforce Data Cloud for personalized retrieval and contextual experiences.
  • Develop secure APIs and integrations to connect Salesforce with internal and external business systems.
  • Engineer data interoperability by building ETL pipelines and automated data workflows across systems.
  • Build retrieval-augmented generation (RAG) patterns, including indexing, grounding, safety, and evaluation loops.
  • Collaborate with architects, AI engineers, data teams, and business stakeholders to translate objectives into production-ready solutions.
  • Prototype and transition generative AI proofs of concept into stable, scalable production applications.
  • Contribute to full-stack development, including API design and front-end UI work for AI features.
  • Support CI/CD, code reviews, release management, compliance, and governance for AI and integration solutions.
  • Mentor teams, share knowledge, and help drive adoption of AI technologies across the organization.
  • Monitor and improve AI solution performance to ensure quality, accuracy, and business value.

Requirements

  • 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 in enterprise environments.
  • Experience modernizing legacy Salesforce orgs and implementing scalable architectures across Sales Cloud, Service Cloud, and Revenue/CPQ.
  • Hands-on experience with Salesforce Einstein, Agentforce, and Data Cloud.
  • Experience with prompt design, tool calling, RAG/grounding, evaluation, guardrails, and observability.
  • Proficiency with Apex, Lightning Web Components, SOQL/SOSL, and Visualforce.
  • Proficiency in Python for AI service development, including FastAPI or Flask APIs, evaluation scripts, and LLM endpoint integration.
  • Strong API design and integration experience with Salesforce, including bi-directional, streaming, and external APIs.
  • CI/CD experience using SFDX and modern tooling such as GitHub Actions and Azure DevOps.
  • Familiarity with Azure or AWS cloud environments.
  • Experience designing and managing data across Salesforce, Data Cloud, and other business systems, including identity resolution, data sharing, and segment activation.
  • Experience with process mapping, workflow design, and identifying operational inefficiencies to enable AI-driven improvements.
  • Experience driving adoption and integration of AI solutions across business functions.
  • Excellent communication and presentation skills with technical and non-technical stakeholders, including executives.
  • Strong problem-solving, analytical, and troubleshooting abilities.
  • Collaborative, consultative mindset with the ability to translate business needs into technical solutions.
  • Comfortable working autonomously in fast-paced, evolving environments.
  • Salesforce Certified Platform Developer I and II are required.
  • Preferred certifications include JavaScript Developer I, Platform App Builder, Salesforce Certified Data Cloud Consultant or Platform Data Architect, and Salesforce Certified Integration Architect.
  • Trailhead Superbadges or credentials in Agentforce, Apex Specialist, or Data Cloud are preferred.

Benefits

  • Competitive pay range of $154,300 to $216,000.
  • Bonus eligible compensation.
  • Remote work with moderate travel of 4 to 8 trips per year, with travel expenses covered per company policy.
  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan plus flexible spending and health savings accounts.
  • 15 days of paid time off, plus additional front-loaded personal days.
  • 14 company-recognized holidays plus paid volunteer days.
  • Up to 8 weeks of paid parental leave and 10 weeks of paid bonding leave.
  • LGBTQ+ health services and pet insurance.

Interested in this position?

Apply directly on the company website

Apply Now

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