Director, Enterprise AI Architect

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

Description

The Enterprise AI Architect is responsible for defining and governing the enterprise AI platform architecture, ensuring secure, scalable, compliant, and cost-effective AI solutions across the organization. This role provides strategic technical leadership for AI capabilities spanning data integration, retrieval-augmented generation (RAG), model orchestration, agentic AI, observability, FinOps, and security. Serving as the organization's AI architecture authority, the position establishes enterprise standards, reviews vendor solutions, and drives alignment across Commercial, R&D, Regulatory, TechOps, Data, and Information Security teams. The role partners with senior business and technology leaders to enable AI innovation, ensure responsible AI adoption, and develop a sustainable enterprise AI ecosystem that supports long-term business objectives.

Essential Functions

• AI platform architecture — end-to-end ownership of AIP architecture across the integration layer, RAG pipelines, orchestration, and model layer; ensure consistency across all four layers and vendor-built solutions

• Data-to-AI contract and integration layer design — define how Gold datasets are exposed to AI, chunking/embedding/indexing standards, and RBAC propagation; own ingestion pipeline standards and drive the Phase 1 to Phase 2 transition

• FinOps and observability — own model cost tracking, token usage monitoring, and AI observability tooling; establish baseline measurement and ongoing cost governance

• Vendor technical submission review — review every vendor AI solution design for RBAC implementation, prompt injection exposure, data leakage controls, audit trail completeness, and platform standards compliance

• Model gateway design and agent development toolkit — define model routing/fallback architecture; establish standards and governance for agentic AI development

• AI security review collaboration — partner with Global InfoSec to define and execute the technical AI security review process

• Governance, standards, and business alignment — define metadata standards, AI design patterns, and model usage policies; partner with Commercial, R&D, Regulatory, and TechOps

Additional Responsibilities

• Guide third-party implementation vendors on architecture decisions and integration patterns; prevent vendor lock-in; ensure effective knowledge transfer so Amneal retains architectural ownership

• Define citizen development standards in partnership with the Enterprise Data Architect

• Work with AI Solutions Engineers embedded in business functions

Amneal is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local laws. If you require a reasonable accommodation to complete the application process or to participate in any part of the hiring process, please contact us at [e-mail]. Requests will be handled confidentially and in accordance with applicable laws.

TheHuman Resources teampartners with all aspects of the organization, driving success through the effective and innovative management of people for both current and future business needs.

Key roles that the Human Resources team performs:

Executive Role: Specialists in all aspects of people management. High-level input at strategic level into all key business decisions.

Audit Role: Ensures all areas of the organization are compliant with legal requirements AND best practice employment policies and procedures.

Facilitator Role: Close partnership to support, advise and extend the ability of all areas of the organization to meet their objectives through implementation of highly effective employment practices in areas such as Talent Acquisition, Learning and Development, Reward systems, Performance Management, Health and Wellbeing.

Consultancy Role: Provide expert advice to the organization and it’s managers on any aspect of workforce management and employee relations and performance.

Service Role: Ensure the organization is fully aware of and is equipped to deal with developments impacting employment matters, such as changes in legislation, changes in the characteristics of the labor market.