AI Engineer

🔥 29 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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• No salary listed.

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Virtusa

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

💰 $108M Post-IPO Equity - Virtusa on 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.

📋 Description

• Design, configure, and deploy multi-step AI agents using Salesforce Agentforce, including topics, actions, prompt templates, reasoning engines, and guardrails • 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, and CRM/ERP data sources so agents can retrieve context and execute actions securely • Implement evaluation frameworks, latency and cost optimizations, and observability for agentic workflows in production • Enforce security, role-based access control (RBAC), and compliance guardrails across all agent interactions • Design, build, and deploy autonomous and human-in-the-loop AI agents across enterprise platforms

🎯 Requirements

• 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 • Ability to work hours overlapping with US hours during onboarding, until 7:00 PM at the latest

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