GenAI Architect/AI Architect

Mindlance; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Mindlance is seeking an Enterprise Genai LLM Solution Architect/ AI Architect in New York, NY. The role requires hybrid attendance 3x per week and an expected minimum duration of 6 months with potential extension.

The candidate will design end-to-end GenAI solutions, establish architecture governance, and lead multi-team architectural reviews to ensure scalable, secure enterprise deployments.

Qualifications

• 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.

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.

Job description

Job Title : Enterprise Genai LLM Solution Architect/ AI Architect

Location specific: Required Hybrid Attendance 3x A Week In NYC, NY.

Duration: Expected Minimum Duration Of 6 Months, W/ Strong Possibility Of Extension Based On Performance.

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.

Preferred Qualification:

• Banking & capital Marketing industry experience, specifically in the fraud domain.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”