Hybrid AI Solutions Architect | Hands-on Leader

Aegistech; Jersey City (NJ); Híbrido; USD 140.000 - 220.000; Jornada completa

Descripción de la vacante

Aegistech is seeking a hands-on AI Solutions Architecture consultant for a Northern NJ based project. The role is hybrid onsite, three days a week, and requires U.S. work authorization as a W-2 employee with no relocation.

Responsibilities include leading architecture for ES platforms, identifying AI-enabled value, and guiding secure, observable, scalable implementations. Preferred experience includes AWS AI services and MCP integrations in regulated environments.

Formación

• 7+ years in software, platform, integration, or solutions architecture with hands-on production engineering and leadership.
• Applied AI solution design: LLM workflows, retrieval, tool/agent integration, quality evaluation.
• Enterprise service integration: Cloud architecture, REST APIs, identity, ops tooling, reusable patterns.
• Security and service reliability: data protection, observability, auditability, governance and production readiness.

Responsabilidades

• Lead hands-on solution architecture for ES platforms and managed services.
• Define use cases, assess feasibility, value, cost, risk, and reuse before recommendations.
• Architect AI-enabled capabilities across cloud, identity, APIs, integration, and observability.
• Design for secure, operable services with runbooks, incident response, and rollback.
• Mentor engineers and coordinate delivery with BU tech teams and Security.

Conocimientos

AI/ML design

Cloud architecture

REST APIs

Security & observability

Python/TypeScript

Cross-functional leadership

Herramientas

AWS AI services

Claude

Kong Konnect AI/MCP

Splunk/CloudWatch

Descripción del empleo

Aegistech is seeking a hands-on AI Solutions Architecture consultant for a Northern NJ based project. The role is hybrid onsite, three days a week, and requires U.S. work authorization as a W-2 employee with no relocation.

Responsibilities include leading architecture for ES platforms, identifying AI-enabled value, and guiding secure, observable, scalable implementations. Preferred experience includes AWS AI services and MCP integrations in regulated environments.