GenAI Architect/AI Architect

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.”