About the role

Senior Agentic AI Architect

Role Overview

Design and implement scalable architecture for AI-assisted data workflows, with a focus on enabling LLMs to enhance internal data operations through hands-on development and systems-level design.

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; 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

Work Arrangement

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

About Synchro

Synchro is a company that helps organizations build AI-driven systems and data workflows. The client organization has been recognized as a Best Place to Work in Austin and focuses on leveraging LLMs to enhance internal data operations through collaborative, innovative engineering.

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