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Lead AI Architect

nameUnited States🌍 Remote
Full-time7-15
$118k - $197k
per year
👁️ 0 views📝 0 applicationsPosted 7/19/2026Expires 9/17/2026

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Job Description

Company : enGen Job Description : 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, DevOps, and Product teams to align the AI roadmap with infrastructure capabilities.

Candidates should possess 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, as well as experience with Infrastructure as Code (IaC) tools like Terraform or Ansible to manage