AI Solutions Engineer

Amneal is an equal opportunity employer whose Human Resources team supports organizational success through effective and innovative people management. The AI Solutions Engineer partners with business functions to design, build, and deploy production-ready AI and Generative AI solutions across Finance, HR, Legal, and Corporate Development, while ensuring governance, security, compliance, adoption, and measurable business value.

Responsibilities:

• Solution delivery - design, build, and productionize AI/GenAI solutions across Finance, HR, Legal, and Corporate Development, including contract review, financial close support, recruiting/talent workflows, and audit analytics
• Use case identification and prioritization - partner with Corporate Function AI Champions and IT Business Partners to surface, scope, and prioritize new use cases against the program's five value drivers (Revenue, Cost, Working Capital, Speed, Risk/Compliance)
• Vendor solution integration - integrate and extend vendor/SaaS tools (Phenom, BrightHire, Oracle AI, Synthesia, contract-review automation, and similar) into the governed platform; reduce reliance on vendors for engineering continuity
• Data-to-AI pipeline work - build RAG/GenAI pipelines against Gold-layer Databricks data, following chunking, embedding, and RBAC-propagation standards set by the Enterprise AI Architect and Enterprise Data Architect; handle PII-sensitive HR and Legal data with elevated care
• Governance and security compliance - submit solution designs through the AI Security Review Gate and Architecture Review Board; enforce AI-WISE policy, SOX audit-trail requirements, and data-privacy controls across Finance, HR, and Legal outputs
• Adoption and enablement - train Corporate Function AI Champions and SPOCs; document solution usage; support biweekly Business-IT governance sessions
• Measurement and reporting - track solution performance (hours saved, audit findings, hiring-cycle time, contract turnaround) and report into the AI program's ROI framework
• Serve as the embedded IT delivery resource across Finance, HR, Legal, and Corporate Development, working day-to-day with the respective IT Business Partners and function AI Champions
• Apply extra scrutiny to PII and confidential-information handling per AI-WISE, given the concentration of employee, compensation, and contract data in this spoke
• Escalate platform-level architecture, model-routing, or security questions to the Enterprise AI Architect rather than making unilateral platform changes
• Flag capacity constraints as portfolio volume grows across the four covered domains; provide input to the 12-month evaluation of splitting this spoke into dedicated Finance and HR roles