Virtusa

Agentic AI Engineer

Virtusa
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4 days ago
Remote, United StatesMid Level
H1B sponsor

Responsibilities

  • Design, configure, and deploy multi-step autonomous and human-in-the-loop agents using Salesforce Agentforce.
  • Build backend data, RAG, and tool-calling pipelines on Databricks using Mosaic AI, Vector Search, Unity Catalog, and Model Serving.
  • Integrate enterprise APIs, knowledge graphs, CRM/ERP data sources, and authentication systems so agents can retrieve context and execute actions securely.
  • Implement agent evaluation frameworks, latency and cost optimizations, and production observability.
  • Enforce security, RBAC, compliance guardrails, and reliable prompt and action designs across agent interactions.

Requirements

  • 3+ years of software engineering, ML engineering, or applied AI experience, including hands-on delivery of LLM-based agents in production.
  • Practical experience with Salesforce Agentforce or the Einstein Copilot/Salesforce AI ecosystem and Databricks, including Mosaic AI, Spark, Python, and SQL.
  • Strong understanding of tool/function calling, planning loops, memory management, hybrid RAG, and agentic architectures.
  • Experience with REST and GraphQL APIs, OAuth or OIDC authentication, and enterprise data governance.
  • Ability to translate business workflows into deterministic guardrails and reliable prompt/action designs.

Benefits

  • Remote position.
  • During onboarding, working hours may be adjusted to overlap with US hours until 7:00 PM at the latest.

Tech Stack

Apache SparkDatabricksGraphQLPythonSQL
Virtusa

About Virtusa

10,000+ employees

Virtusa is a global IT services and consulting firm that builds and runs digital platforms, applications, and cloud systems for large enterprises. It sells project-based engineering, systems integration, and managed services across industries such as financial services, healthcare, and telecommunications. Founded in 1996 and headquartered in Southborough, Massachusetts, Virtusa is privately held and owned by BPEA EQT after previously trading on NASDAQ.

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