AI Solutions Engineer
Amneal Pharmaceuticals
August 22, 2026
Remote friendly (Bridgewater, NJ)
United States
IT
The AI Solutions Engineer partners with business functions to identify, design, build, and deploy AI and Generative AI solutions to improve operational efficiency, decision-making, compliance, and business performance.
Essential Functions
- Solution delivery: Design, build, and productionize AI/GenAI solutions across Finance, HR, Legal, and Corporate Development (e.g., contract review, financial close support, recruiting/talent workflows, audit analytics)
- Use case identification/prioritization: Partner with AI Champions and IT Business Partners to scope and prioritize use cases against value drivers (Revenue, Cost, Working Capital, Speed, Risk/Compliance)
- Vendor solution integration: Integrate/extend vendor/SaaS tools (Phenom, BrightHire, Oracle AI, Synthesia, contract-review automation) into the governed platform
- Data-to-AI pipelines: Build RAG/GenAI pipelines against Gold-layer Databricks data (chunking, embedding, RBAC propagation); handle PII-sensitive HR/Legal data with elevated care
- Governance/security compliance: Submit designs via AI Security Review Gate and Architecture Review Board; enforce AI-WISE, SOX audit-trail, and data-privacy controls
- Adoption/enablement: Train AI Champions/SPOCs; document usage; support biweekly Business-IT governance sessions
- Measurement/reporting: Track performance (hours saved, audit findings, hiring-cycle time, contract turnaround) and report ROI
Additional Responsibilities
- Embedded IT delivery resource across Finance/HR/Legal/Corporate Development
- Apply extra scrutiny to PII/confidential-information handling
- Escalate architecture/model-routing/security questions to the Enterprise AI Architect
- Flag capacity constraints; provide input on a 12-month split evaluation
Qualifications
- Required: Bachelor’s degree (CS, Data/Information Science, Engineering, or related) or equivalent work experience
- Preferred: Master’s degree (CS, Data Science, Business Analytics, or related)
- Required: 5+ years software/AI/data engineering; built and shipped production GenAI/ML applications (not proof-of-concept)
Essential Functions
- Solution delivery: Design, build, and productionize AI/GenAI solutions across Finance, HR, Legal, and Corporate Development (e.g., contract review, financial close support, recruiting/talent workflows, audit analytics)
- Use case identification/prioritization: Partner with AI Champions and IT Business Partners to scope and prioritize use cases against value drivers (Revenue, Cost, Working Capital, Speed, Risk/Compliance)
- Vendor solution integration: Integrate/extend vendor/SaaS tools (Phenom, BrightHire, Oracle AI, Synthesia, contract-review automation) into the governed platform
- Data-to-AI pipelines: Build RAG/GenAI pipelines against Gold-layer Databricks data (chunking, embedding, RBAC propagation); handle PII-sensitive HR/Legal data with elevated care
- Governance/security compliance: Submit designs via AI Security Review Gate and Architecture Review Board; enforce AI-WISE, SOX audit-trail, and data-privacy controls
- Adoption/enablement: Train AI Champions/SPOCs; document usage; support biweekly Business-IT governance sessions
- Measurement/reporting: Track performance (hours saved, audit findings, hiring-cycle time, contract turnaround) and report ROI
Additional Responsibilities
- Embedded IT delivery resource across Finance/HR/Legal/Corporate Development
- Apply extra scrutiny to PII/confidential-information handling
- Escalate architecture/model-routing/security questions to the Enterprise AI Architect
- Flag capacity constraints; provide input on a 12-month split evaluation
Qualifications
- Required: Bachelor’s degree (CS, Data/Information Science, Engineering, or related) or equivalent work experience
- Preferred: Master’s degree (CS, Data Science, Business Analytics, or related)
- Required: 5+ years software/AI/data engineering; built and shipped production GenAI/ML applications (not proof-of-concept)