Chief Enterprise AI Architect & Platform Strategist

Amneal Pharmaceuticals; Bridgewater (MA); On-site; USD 240,000 - 270,000; Full time

Job summary

Amneal Pharmaceuticals seeks an Enterprise AI Architect to define and govern the enterprise AI platform architecture, ensuring secure, scalable, compliant, and cost-effective AI solutions across the organization. This role leads data integration, retrieval-augmented generation (RAG), model orchestration, agentic AI, observability, FinOps, and security.

The position partners with Commercial, R&D, Regulatory, TechOps, Data, and Information Security, driving responsible AI adoption and enterprise

Qualifications

• 12+ years in IT/enterprise architecture with AI platform experience.
• Experience with four-layer enterprise AI architecture (data platform, integration, orchestration, model layer).
• Knowledge of RBAC propagation, metadata standards, and data contracts.
• Familiarity with regulated industries and 21 CFR Part 11 / GxP AI deployment.

Responsibilities

• Own end-to-end AI platform architecture across all layers and vendor solutions.
• Define data exposure, chunking/embedding/indexing standards, and access controls.
• Lead model gateway design, agent development toolkit, and governance practices.
• Collaborate with InfoSec and business units to align on AI standards and security.

Skills

AI architecture

RAG pipelines

RBAC & data governance

Security governance

Cost governance

Data integration

Multi-LLM integration

Agentic AI

Observability

Education

Bachelor's degree in Computer Science or related

Master's degree preferred

Tools

AWS SageMaker

AWS Bedrock

Databricks

OpenAI / Anthropic / other providers

Job description

Amneal Pharmaceuticals seeks an Enterprise AI Architect to define and govern the enterprise AI platform architecture, ensuring secure, scalable, compliant, and cost-effective AI solutions across the organization. This role leads data integration, retrieval-augmented generation (RAG), model orchestration, agentic AI, observability, FinOps, and security.

The position partners with Commercial, R&D, Regulatory, TechOps, Data, and Information Security, driving responsible AI adoption and enterprise