Principle AI Lead & C4 System Architect

Highbrow LLC; Los Angeles, New York (CA, NY); Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

Highbrow LLC seeks a Principle AI Lead & C4 System Architect to drive enterprise AI initiatives and multimodal systems across on-site locations in Los Angeles or New York, with two days per week in office. The role requires strong C4 modeling, Python/FastAPI backend expertise, and cloud infrastructure leadership.

The candidate will oversee end-to-end architecture, AI harnesses, and delivery teams, while ensuring robust evaluation, safety, and integration with enterprise workflows.

Qualifications

• 8+ years of professional software engineering experience with at least 2+ years in a technical leadership or principal-level capacity.
• AI/ML integration: building agentic workflows, prompt engineering, integrating LLMs/VLMs into production systems and AI evaluation frameworks.
• Cloud & Infrastructure: hands-on with AWS, Azure, or GCP serverless architectures.
• Backend: Python proficiency, high-throughput APIs with FastAPI, migrations, async/multiprocessing workflows.
• DevOps & SDLC: Terraform IaC and CI/CD pipelines (e.g. GitHub Actions).
• Domain: strong understanding of digital broadcast production operations and visual media workflows.
• Architecture: C4 model, enterprise integration patterns, multimodal AI orchestration.

Responsabilités

• Serves as the primary technical decision-maker and lead architect across enterprise AI initiatives, multimodal systems, and distributed workflow platforms.
• End-to-end technical leadership, defining and maintaining system architecture using the C4 model, directing delivery teams, and guiding production-grade agentic AI harnesses, backend microservices, and cloud infrastructure.
• System Architecture & C4 Modeling: Define and maintain C4 architecture diagrams for distributed workflows and oversee reviews and code quality.
• Agentic AI & Multimodal System Design: Build and manage agentic AI harnesses, tool use, multi-step reasoning, integration of LLMs, VLMs, and APIs for automation.
• Backend & Distributed Systems: Design scalable backend microservices using Python and FastAPI on cloud serverless infra; orchestrate event-driven workflows.
• AI Evaluation, Safety & Quality: Establish evaluation frameworks and guardrails to prevent drift and hallucination.
• Team Leadership: Direct delivery engineering teams and align technical strategy with client leadership.

Connaissances

C4 Architecture & System Design

AI/ML Integration

Digital broadcast/visual media ops

Outils

AWS

Azure

GCP

FastAPI

Terraform IaC

GitHub Actions / CI/CD

Description du poste

Principle AI Lead & C4 System Architect (Client: ???) [Location: Los Angeles CA and New York NY (resource must be onsite at any one of the locations, two days a week in office) ]

Location: Los Angeles CA and New York NY (resource must be onsite at any one of the locations, two days a week in office)

Must Have Skils: C4 Architecture & System Design, AI/ML Integration, Understanding of digital broadcast/visual media production operations

Job Description

• Experience: 8+ years of professional software engineering experience with at least 2+ years in a technical leadership or principal-level capacity.
• AI/ML Integration: Proven experience building agentic workflows, prompt engineering, integrating LLMs/VLMs into production systems, and utilizing AI evaluation frameworks.
• Cloud & Infrastructure: Deep, hands‑on expertise with AWS, Azure, and/or GCP serverless architectures.
• Backend Engineering: Expert‑level Python proficiency. Experience building high‑throughput APIs using FastAPI, managing database migrations, and handling async/multiprocessing workflows.
• DevOps & SDLC: Knowledge of Terraform IaC and CI/CD pipelines (e.g. GHA).
• Domain Knowledge:Strong domain understanding of digital broadcast production operations andwith Visualmedia workflows is highly desirable.
• Architecture: Strongexpertise with the C4 architecture model , enterprise integration patterns and multimodel AI Orchestration.

Job Responsibilities

Serves as the primary technical decision‑maker and lead architect across enterprise AI initiatives, multimodal systems, and distributed workflow platforms. Responsible for end‑to‑end technical leadership, defining and maintaining system architecture using the C4 model, directing delivery teams, and guiding the development of production‑grade agentic AI harnesses, backend microservices, and cloud infrastructure.

Core Responsibilities

System Architecture & C4 Modeling: Define and maintain C4 model architecture diagrams (Context, Container, Component, Code) for distributed workflows. Oversee architectural reviews and code quality standards for standard microservices and non‑deterministic AI agent outputs.

Agentic AI & Multimodal System Design: Build and manage agentic AI harnesses from scratch (tool use, multi‑step chaining, reasoning, RAG, sandboxing, state management). Integrate LLMs, VLMs, and specialized APIs for automated asset manipulation and enterprise workflow automation.

Backend & Distributed Systems: Design scalable, high‑throughput backend microservices using Python and FastAPI on cloud serverless infrastructure. Architect distributed event‑driven workflows using cloud message queues, streams, and event buses (e.g., AWS EventBridge, SQS, DynamoDB Streams)

AI Evaluation, Safety & Quality: Establish AI evaluation frameworks (offline regression evals, rubric scoring, AI‑as‑judge) and deterministic guardrails/content filters to prevent drift and hallucination.

Team Leadership: Direct delivery engineering teams and align technical strategy and execution roadmaps with client leadership.

Please feel free to reach out in case you need any additional details.