AI / ML Engineer Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Agentforce, Salesforce Agentforce Good to have skills : Salesforce Einstein AI, Prompt Engineering, Agent Development Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education AI Agent Developer – Salesforce ROLE OVERVIEW The AI Platform Developer builds and runs the AI capability layer that empowers the global commercial team. This role creates agents, automations, and AI-enabled workflows that are embedded directly into the systems sellers use every day — making AI actionable rather than aspirational. THE OBJECTIVE Develop, deploy, and govern AI agents, prompt libraries, and automation workflows for the commercial organization, with outputs written back into CRM systems to create measurable seller productivity gains.

KEY RESPONSIBILITIES Build and deploy AI agents in Salesforce using Agentforce for use cases including prospecting, account research,



and call-transcript intelligence Develop governed prompt libraries and reusable AI components approved for commercial use Design and implement automations that eliminate manual effort from seller and SDR workflows Ensure AI outputs are written back into CRM objects (Salesforce) so insight is actionable and trackable Implement Responsible AI compliance standards covering data handling, retention, and approved use Partner with Sales, RevOps, and IT to identify high-value automation opportunities Maintain and iterate on deployed agents based on usage analytics and seller feedback Document AI components, prompt templates, and governance policies for the commercial org SKILLS &

EXPERIENCE REQUIRED 4–7 years of experience with Salesforce development and the broader Salesforce ecosystem Hands-on experience with Agentforce and Copilot Studio for agent development Proficiency in prompt engineering, APIs, and AI/ML integration patterns Experience with data modeling to support AI input/output requirements Commercial context and understanding of GTM workflows — this role ships working tools, not pure AI research Ability to implement responsible AI guardrails (PII handling, output auditing, retention policies) Robust collaboration skills across Sales, IT, and Operations functions NICE TO HAVE Experience with LLM orchestration frameworks (LangChain, Semantic Kernel, or equivalent) Background in SDR/AE workflows, sales enablement, or revenue operations Salesforce certifications (Platform Developer, AI Specialist)

📌 AI and Machine Learning Engineer - Salesforce AI Agent Developer (Hyderabad)
🏢 Accenture India Private
📍 Hyderabad