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.