Enterprise AI Implementation Engineer — Salesforce Agentforce, Agentic AI & LLMs
Pronix (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 18–35 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deliver production-grade Agentic AI, LLM, and RAG solutions integrated with Salesforce Agentforce for global enterprises.
- Build and integrate Salesforce Agentforce agents, actions, prompts, and guardrails with Service Cloud, Sales Cloud, and Data Cloud.
- Own CI/CD, security controls, cost optimization, and knowledge transfer to customer-operated teams.
Minimum Requirements
- 5+ years enterprise engineering experience with at least 3 years delivering AI/ML or GenAI production systems.
- Hands-on experience with Salesforce Agentforce, Einstein AI, Prompt Builder, Flows, Apex, and at least one major cloud AI platform.
- Strong knowledge of security, PII handling, model risk, and enterprise data governance.
- Location requirement: Hyderabad, India.
Ideal Candidate Profile
- Experienced in end-to-end AI solution deployment, especially within Salesforce ecosystems.
- Skilled in operational ownership covering CI/CD, security, and cost management for enterprise AI products.
- Comfortable working with complex CRM and enterprise data architectures and governance frameworks.