AI Architect

Synchro; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm is seeking a Senior Agentic AI Architect to design and implement scalable architecture for AI-assisted data workflows. This role involves hands-on development of LLM integrations and requires over 5 years of experience in data or platform engineering. The position offers remote work within the U.S. with opportunities for hybrid arrangements, emphasizing collaboration and innovation in AI-driven systems.

Qualifications

• 5+ years in data or platform engineering with modern data stacks.
• Production experience with LLMs, AI agents, or automation workflows.
• Hands-on experience with Python microservices and Kubernetes deployments.

Responsibilities

• Architect and implement AI-assisted data workflows and agentic systems.
• Develop semantic/context layers ensuring AI outputs align with business logic.
• Integrate LLM providers into event-driven architectures.

Skills

Data platform engineering

LLM integration

Python microservices

Kubernetes

Event-driven architectures

Systems thinking

Technical leadership

Tools

SQL

dbt

Snowflake

Dagster

Prefect

Kafka

Job description

Overview

We are seeking a Senior Agentic AI Architect to design and implement scalable architecture for AI-assisted data workflows. This role focuses on enabling LLMs to enhance internal data operations through hands-on development and systems-level design.

Our client’s organization has been recognized as a Best Place to Work in Austin, and values collaboration, learning, and innovation in building AI-driven systems.

Location: Remote within the U.S. (excluding CA, MA, NJ), with flexibility for hybrid or in-office work where supported.

Key Responsibilities

• Architect and implement AI-assisted data workflows and agentic systems.
• Build and maintain LLM-enabled services, prompt frameworks, and coding standards.
• Develop semantic/context layers ensuring AI outputs align with business logic and data models.
• Design multi-agent workflows, including human-in-the-loop controls.
• Build Python microservices (FastAPI) and deploy on Kubernetes.
• Orchestrate data/AI pipelines with Dagster or Prefect.
• Integrate LLM providers (OpenAI, Anthropic) into event-driven architectures (Kafka).
• Optimize for latency, efficiency, and quality, and drive reusable platform components.

Required Qualifications

• 5+ years in data or platform engineering with modern data stacks (SQL, dbt, Snowflake, etc.).
• Production experience with LLMs, AI agents, or automation workflows.
• Experience building Python microservices and Kubernetes deployments.
• Familiarity with data/AI orchestration frameworks (Dagster, Prefect).
• Hands-on LLM integration and event-driven systems (Kafka or similar).
• Strong systems thinking and ability to translate architecture into implementation.
• Proven technical leadership with hands-on coding and architecture guidance.