4 дня назад
Principal Enterprise Architect (AI)
152 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Enterprise Architect (AI): Leading enterprise-scale Generative AI, Agentic AI, and multi-agent solutions from concept through production implementation with an accent on AWS architecture, secure enterprise integration, AI governance, and Responsible AI. Focus on designing agent orchestration, retrieval and human-in-the-loop patterns, establishing production readiness, and solving complex architecture challenges across regulated financial services environments.
Location: 5 days onsite in Lafayette, Louisiana; Knoxville, Tennessee; Columbia, South Carolina; or Birmingham, Alabama
Compensation: $152,000 annually
Company
delivers outsourced services and workforce solutions across North America.
What you will do
- Lead enterprise architecture for Generative AI, Agentic AI, and multi-agent solutions from concept through production.
- Define reusable AI architecture patterns, standards, reference architectures, and implementation guidance.
- Design patterns for agent orchestration, tool integration, memory, retrieval, and human-in-the-loop workflows.
- Guide secure integration with enterprise APIs, applications, workflow platforms, identity services, and data sources.
- Embed security, privacy, regulatory compliance, Responsible AI, auditability, guardrails, and human oversight into AI solutions.
- Lead technical reviews, support production evaluation and observability, and communicate technology roadmaps to engineering, product, and executive stakeholders.
Requirements
- 8+ years of enterprise architecture experience with Generative AI, Agentic AI, and production AI solutions.
- Hands-on knowledge of AI agents and multi-agent systems, including orchestration, tool calling, memory, retrieval, and human-in-the-loop patterns.
- Strong experience with AWS and cloud-native technologies for scalable enterprise applications and AI workloads.
- Experience with enterprise integration, RAG, semantic search, data lineage, containers, event-driven systems, API management, and IAM.
- Understanding of AI governance, Responsible AI, security, privacy, regulatory compliance, guardrails, auditability, resiliency, monitoring, and model lifecycle management.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
Nice to have
- Experience in financial services or another highly regulated industry.
- Familiarity with AI-assisted software development, requirements traceability, structured specifications, or Spec-Driven Development.
Culture & Benefits
- Direct-hire, full-time permanent position.
- Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
- Participation in a 401(k) plan is available to eligible employees.
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