Director, Enterprise AI Architecture & Platform Governance

Socket.dev; Bridgewater (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Amneal is seeking an Enterprise AI Architect to define and govern the enterprise AI platform architecture, spanning data integration, RAG pipelines, model orchestration, agentic AI, observability, FinOps, and security. This role provides strategic leadership for AI capabilities and serves as the organization’s AI architecture authority.

The position partners with senior business and technology leaders to enable AI innovation, ensure responsible AI adoption, and develop a sustainable enterprise

Responsibilities

• AI platform architecture — end-to-end ownership of AIP architecture across integration, RAG, orchestration and model layers.
• Data-to-AI contract and integration design — expose datasets to AI with chunking/embedding/indexing standards and RBAC propagation.
• FinOps and observability — model cost tracking, token usage monitoring and AI observability tooling.
• Vendor submissions — review vendor AI designs for RBAC, prompt injection, data leakage controls and audit trails.
• Model gateway and agent toolkit — define routing/fallback and governance for agentic AI development.
• AI security collaboration — partner with InfoSec to define and execute security reviews.
• Governance and alignment — define metadata standards, design patterns and model usage policies across teams.

Skills

AI platform architecture

FinOps / cost governance

Security & RBAC

Vendor evaluation

Observability tooling

Cross-functional leadership

Job description

Amneal is seeking an Enterprise AI Architect to define and govern the enterprise AI platform architecture, spanning data integration, RAG pipelines, model orchestration, agentic AI, observability, FinOps, and security. This role provides strategic leadership for AI capabilities and serves as the organization’s AI architecture authority.

The position partners with senior business and technology leaders to enable AI innovation, ensure responsible AI adoption, and develop a sustainable enterprise