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This role focuses on designing, building, and deploying AI agents that enhance business workflows across enterprise platforms. You will work with Salesforce Agentforce and Databricks to create reliable and secure AI solutions.
Virtusa
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This is a remote position.
We are looking for two Agentic AI Engineers to design, build, and deploy autonomous and human-in-the-loop AI agents across our enterprise platforms. You will combine Salesforce Agentforce orchestration with Databricks data and machine learning capabilities to automate complex business workflows safely and reliably.
Key Responsibilities:
Design, configure, and deploy multi-step AI agents using Salesforce Agentforce (topics, actions, prompt templates, reasoning engines, and guardrails).
Build backend data, RAG, and tool-calling pipelines on Databricks (Mosaic AI, Vector Search, Unity Catalog, Model Serving).
Integrate enterprise APIs, knowledge graphs, and CRM/ERP data sources so agents can retrieve context and execute actions securely.
Implement evaluation frameworks, latency/cost optimizations, and observability for agentic workflows in production.
Enforce security, role-based access control (RBAC), and compliance guardrails across all agent interactions.
Work Schedule: During the onboarding phase, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.
3+ years of software engineering, ML engineering, or applied AI experience, with hands-on delivery of LLM-based agents in production.
Practical experience with Salesforce Agentforce (or Einstein Copilot / Salesforce AI ecosystem) and Databricks (Mosaic AI, Spark, Python, SQL).
Strong understanding of agentic architectures: tool/function calling, planning loops, memory management, and hybrid RAG.
Solid experience with REST/GraphQL APIs, authentication protocols (e.g., OAuth, OIDC), and enterprise data governance.
Ability to translate business workflows into deterministic guardrails and reliable prompt/action designs.
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Virtusa
Virtusa
Virtusa
