AI Architect

Company Description

MomentText is a team of visionary engineers and designers committed to producing smart and ingenious solutions that defy conventional norms. By continually experimenting with novel technologies and techniques, we ensure that we remain at the forefront of our field. We prioritize critical thinking and foster an environment where our team members challenge assumptions and innovate beyond established boundaries. Our ultimate goal is to find innovative ways to enhance and revolutionize traditional industries.

Role Overview

As an AI Architect , you will design, prototype, and implement advanced AI and Generative AI solutions that power digital transformation. You will bridge the gap between strategy and execution — defining the technical architecture for scalable, secure, and ethical AI systems.

You'll work closely with Data Scientists, AI / ML Engineers, Software Developers, and Government SMEs to deliver state-of-the-art AI solutions that benefit citizens, residents, and visitors alike.

Key Responsibilities

• Lead the architecture and design of complex AI systems with a strong focus on Generative AI (LLMs, Diffusion Models, GANs).
• Define end-to-end AI solution architectures ensuring scalability, reliability, and integration with existing government systems.
• Champion and implement GenAI frameworks such as LangChain, LlamaIndex, LangSmith, LangFlow, and LangGraph for rapid prototyping and deployment.
• Architect and supervise data pipelines for training, fine-tuning, and evaluating GenAI models on sensitive and large-scale datasets.
• Drive MLOps & AIOps best practices for production-grade deployment using tools like Kubeflow, MLflow, and Airflow.
• Select and integrate diverse data technologies — relational (PostgreSQL), vector databases (Milvus) , and graph databases (Neo4j) — for advanced semantic and RAG-based AI use cases.
• Collaborate cross-functionally to define business problems and translate them into scalable AI architectures.
• Stay up to date with the latest in Generative AI research and tooling , recommending improvements to enhance the Factory's AI stack.
• Ensure compliance with AI ethics, transparency, and regulatory frameworks while implementing responsible AI safeguards.
• Prepare clear architectural documentation and present solutions to technical and executive audiences.

Qualifications

Bonus Points

Skills Required

Airflow, Postgresql, MLops, Neo4j, Docker, Kubernetes, Python