Senior Gen AI Engineer, Salesforce Platform

Bachelor’s degree in computer science, Engineering, or a related field. 8+ years of Salesforce engineering experience. 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). 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. Apex, Lightning Web Components (LWC), SOQL/SOSL, and Visualforce. 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. Experience designing and managing data across Salesforce, Data Cloud, and other business systems. Skilled in process mapping, workflow design, and identifying operational inefficiencies. Experience driving adoption and integration of AI solutions across business functions. Excellent communication and presentation abilities with technical and non-technical stakeholders. Strong problem-solving, analytical, and troubleshooting capabilities. Collaborative, consultative mindset. Comfortable working autonomously in fast-paced, evolving environments. Embodies the principles of the Ideal Team Player: humble, hungry, and smart. Salesforce Certified Platform Developer I & II.

Design, develop, and deploy generative AI solutions to modernize business operations. Build, integrate, and operationalize AI agents using Salesforce Agentforce. Implement Einstein/Agentforce solutions with Salesforce Data Cloud. Develop and secure APIs to connect Salesforce with internal and external systems. Engineer data interoperability across systems. Build and deploy retrieval-augmented generation (RAG) patterns within Salesforce. Collaborate to translate business objectives into production-ready AI solutions. Prototype rapidly to validate new generative AI use cases. Contribute to full-stack development efforts for AI features. Drive and contribute to CI/CD pipelines, code reviews, and release management. Ensure compliance, data security, and governance across AI and integration solutions. Partner with business stakeholders to understand requirements and gather feedback. Work alongside data scientists and AI specialists to evaluate and optimize prompt strategies. Lead knowledge sharing and enablement, mentoring teams on AI technologies. Monitor, evaluate, and iterate on AI solution performance. Stay current on industry advancements in AI, automation, and Salesforce innovation.