Generative AI Architect

Bernard Nickels & Associates; New York (NY); Hybrid; USD 76,000 - 103,000; Full time

Job summary

Bernard Nickels & Associates seeks an experienced GenAI/LLM Architect to design end-to-end architectures embedding Generative AI within core enterprise systems. You will set governance, drive standards for microservices and APIs, and align cloud-native patterns across teams in a hybrid NYC environment.

The role requires 7+ years of architecture experience, with a strong background in banking & capital markets fraud.

Qualifications

• 7+ years of enterprise architecture experience.
• Experience in banking & capital markets fraud domain.
• Design architectures embedding GenAI components into core systems.

Responsibilities

• Designs 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 design.
• Model application, data, and integration architectures for performance, scalability, security, and maintainability.
• Evaluate GenAI platforms, frameworks, and tooling for fit and long-term scalability.
• Conduct architecture reviews and design assessments to ensure compliance with standards.
• Hands-on GenAI/LLM architecture work within enterprise contexts.
• Strong grounding in microservices, API, and cloud-native design patterns.
• Experience setting and enforcing architecture governance across delivery teams.

Skills

GenAI architecture

LLM architecture

Microservices

APIs

Cloud-native design

Governance

Architecture reviews

Job description

Type: Contract Assignment

Duration: 6 months – very strong possibility of extension, based on performance.

Location: NYC

Required – hybrid - 3X a week in office

Pay Rate: $65/hour

US Citizens and Green Card Holders are encouraged to apply; there is no sponsorship for this project.

PREFERRED QUALIFICATIONS:

• Must have 7+ years of closely applicable work experience.
• Banking & capital marketing industry experience, specifically in the fraud domain.

RESPONSIBILITIES & REQUIRED QUALIFICATIONS:

• Designs end-to-end solution architectures embedding Generative AI components into core enterprise systems and sets the architectural standards the GenAI/Python Developer role builds against.
• Design end-to-end solution architectures embedding Generative AI components (LLMs, RAG pipelines, prompt engineering, AI agents) 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.