Remote AI Architect: Lead Data-Driven Automation

Bitwise; United States; Remote; USD 180,000 - 230,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

Bitwise is seeking an AI Architect to lead the design and delivery of AI-driven data modeling, documentation, and automation solutions. This remote role focuses on building agentic, scalable workflows with Databricks-based pipelines and governance-compliant practices.

You will guide a small delivery team and serve as the primary technical liaison with client data platforms and engineers, shaping strategy and execution across data quality, ETL/ELT patterns, and reusable GenAI components.

Qualifications

• 10 years in data engineering or applied AI/ML, incl. 2 years leading delivery teams.
• Experience with Databricks Platform and multi-step AI workflows.
• Experience building LLM-powered apps (prompt, context, RAG).
• Integrating LLMs into data pipelines in governed environments.
• Knowledge of guardrails and responsible-AI practices.

Responsibilities

• Own the technical roadmap for AI-driven data modeling, docs, data quality rules, and transformation code generation.
• Design agentic workflow architecture using LangGraph, CrewAI, or AutoGen.
• Ensure AI workflows comply with client AI governance/approval framework.
• Lead a delivery team through discovery, prioritization, and iterative delivery of automation.
• Act as primary technical contact with client platform and data engineering stakeholders.

Skills

Data engineering

Applied AI/ML

AI governance

Databricks

LLM integration

Prompt engineering

RAG pipelines

Multi-agent patterns

Team leadership

Python

PySpark

Declarative pipelines

Tools

Databricks

GitHub Copilot

Claude Code

Python

PySpark

Job description

Bitwise is seeking an AI Architect to lead the design and delivery of AI-driven data modeling, documentation, and automation solutions. This remote role focuses on building agentic, scalable workflows with Databricks-based pipelines and governance-compliant practices.

You will guide a small delivery team and serve as the primary technical liaison with client data platforms and engineers, shaping strategy and execution across data quality, ETL/ELT patterns, and reusable GenAI components.