Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
BN
Bernard Nickels & Associates
Generative AI Architect
Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores
Job Description
Generative AI Architect at Bernard Nickels & Associates Generative AI Architect at Bernard Nickels & Associates in West New York, New Jersey Posted in 9 days ago.
Type:
full-time
Job Title:
Enterprise Gen AI LLM Solution Architect 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.