Lead AI Architect

Job Summary

We are seeking a visionary AI Architect to serve as the technical cornerstone of our artificial intelligence strategy. While an AI Engineer builds the models, you will design the entire ecosystem they live in. You will be responsible for defining the high‑level structure of our AI systems, ensuring they are scalable, secure, and seamlessly integrated with our enterprise infrastructure. As an Architect, you sit at the intersection of business value and technical feasibility, translating executive goals into robust technical blueprints.

This role involves defining the end‑to‑end architecture for AI solutions, encompassing data pipelines, model storage, inference engines, and front‑end integration. The individual will be responsible for evaluating and selecting the optimal “tech stack,” including specific LLMs, vector databases, and orchestration frameworks, to meet the company’s long‑term needs. Key responsibilities also include establishing best practices for MLOps to ensure consistent coding standards, model versioning, and deployment strategies across the engineering team.

The architect will design scalable systems capable of handling massive data throughput and low‑latency inference for real‑time applications. A critical aspect of the role is architecting “Human‑in‑the‑loop” systems and guardrails to ensure data privacy, compliance (GDPR/CCPA), and AI safety. This position requires strong cross‑functional leadership, acting as the technical liaison between Data Science, Dev Ops, and Product teams to align the AI roadmap with infrastructure capabilities.

• Define the end‑to‑end architecture for AI solutions, encompassing data pipelines, model storage, inference engines, and front‑end integration.
• Evaluate and select the optimal tech stack, including specific LLMs, vector databases, and orchestration frameworks.
• Establish best practices for MLOps to ensure consistent coding standards, model versioning, and deployment strategies across the engineering team.
• Design scalable systems capable of handling massive data throughput and low‑latency inference for real‑time applications.
• Architect Human‑in‑the‑loop systems and guardrails to ensure data privacy, compliance (GDPR/CCPA), and AI safety.
• Act as the technical liaison between Data Science, Dev Ops, and Product teams to align the AI roadmap with infrastructure capabilities.
• Provide strategic consultation to business customers in defining or designing business processes, functions, and organizational structures.
• Facilitate development of the most complex enterprise business solutions that combine knowledge of particular business processes and issues, general technological options, and process facilitation techniques.
• Lead and participate in enterprise strategy development, including environmental analysis, opportunity identification, value cases, and business innovation portfolio development.
• Specify and design large or the most complex systems, solutions, networks, infrastructure elements, or processes.
• Select appropriate design standards, methods and tools and ensure that they are applied effectively.
• Lead reviews of others’ system design to ensure selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology.
• Establish policy for selection of architecture components.
• Evaluate and undertake impact analysis on the most complex major design options.
• Ensure that the system architecture balances functional, service quality and systems management requirements.
• Use appropriate tools, including models of components and interfaces, to contribute to the development of the most complex architectures.
• Produce detailed component requirements, specifications and translate these into detailed solutions/designs for implementation using selected products.
• Provide advice on technical aspects of systems.

• Architectural expertise, including a deep understanding of distributed systems, microservices architecture, API design, and cloud‑native patterns.
• Proficiency in designing complex data schemas for both structured and unstructured data, and experience with Infrastructure as Code (IaC)…