Senior Agentic AI Architect

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.