Hybrid NYC: GenAI Solutions Architect (Enterprise/LLM)

Apolis; New York (NY); Hybrid; USD 59,000 - 84,000; Full time

Job summary

Apolis is seeking an Enterprise GenAI LLM Solution Architect to design and govern end-to-end GenAI-enabled architectures within large enterprise systems. This role requires hybrid attendance in NYC, with on-site presence 3 days per week, and a 6-month duration with strong extension potential.

You will lead standards for microservices, APIs, cloud-native patterns, and governance, evaluate GenAI platforms, and collaborate across delivery teams to ensure performance, security, and scalability.

Qualifications

• Design end-to-end GenAI architectures embedding AI components into enterprise systems.
• Establish architecture standards and governance for microservices, APIs and cloud-native design.
• Model architecture for performance, scalability, security and maintainability.

Responsibilities

• Design end-to-end solution architectures embedding Generative AI components into core enterprise systems.
• Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native application design.
• Model application, data, and integration architectures to ensure performance, scalability, security, and maintainability.
• Evaluate and select GenAI platforms, frameworks, and tooling based on architectural fit, technical feasibility, and long-term scalability.
• Conduct architecture reviews and technical design assessments to ensure compliance with enterprise design standards.
• Extensive experience in enterprise or solution architecture, with hands‑on GenAI/LLM architecture work.
• Strong grounding in microservices, API, and cloud-native design patterns.
• Experience setting and enforcing architecture governance across multiple delivery teams.

Skills

GenAI architecture

LLM integration

Microservices

APIs

Cloud-native

Governance

Job description

Apolis is seeking an Enterprise GenAI LLM Solution Architect to design and govern end-to-end GenAI-enabled architectures within large enterprise systems. This role requires hybrid attendance in NYC, with on-site presence 3 days per week, and a 6-month duration with strong extension potential.

You will lead standards for microservices, APIs, cloud-native patterns, and governance, evaluate GenAI platforms, and collaborate across delivery teams to ensure performance, security, and scalability.