AI Agent Workflow Architect

Project44; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

project44 seeks a skilled Prompt Engineer / Agent Solution Architect to design, govern, and scale AI agent workflows for its AIA Operations organization. You’ll work with Product, Engineering, AI, and Operations to improve performance and embed best practices across regions.

You will evolve prompt strategies, manage versions, and ensure reliable, scalable AI-driven operations while expanding use cases post‑launch and collaborating with customers and engineers to deliver measurable value.

Qualifications

• Experience designing and governing AI agent workflows.
• Strong collaboration with Product, Engineering, AI and Ops teams.
• Excellent analytical and problem-solving abilities.
• Ability to translate requirements into AI-driven solutions.
• Comfort diagnosing and refining prompts for reliability.

Responsibilities

• Design, build, and maintain AI agent workflows for carrier monitoring and performance tracking.
• Create customer-specific AI agent workflows tailored to lanes/accounts.
• Write, test, and optimise prompts for large language models.
• Run structured prompt tests and document outcomes.
• Track prompt versions and rationale for design decisions.
• Diagnose issues where outputs drift or fail and refine prompts accordingly.
• Collaborate with engineers during handover and go-live testing.
• Expand use cases post-launch and surface edge cases.
• Monitor agent performance and iterate to maintain accuracy and value.

Skills

AI workflow design

Cross-functional collaboration

Data analysis

LLM prompting

Problem solving

Tools

AI tools

Automation platforms

Workflow technologies

Job description

project44 seeks a skilled Prompt Engineer / Agent Solution Architect to design, govern, and scale AI agent workflows for its AIA Operations organization. You’ll work with Product, Engineering, AI, and Operations to improve performance and embed best practices across regions.

You will evolve prompt strategies, manage versions, and ensure reliable, scalable AI-driven operations while expanding use cases post‑launch and collaborating with customers and engineers to deliver measurable value.