GenAI & OCR Doc Workflow Automation Analyst — Hybrid TX

Akkodis; Euless (TX); Hybrid; USD 62,000 - 76,000; Full time

Job summary

Akkodis is seeking an AI Automation Analyst to transform document-heavy aerospace quality processes using Generative AI. You will work with SMEs to design AI prompts, enhance OCR/document processing accuracy, and create repeatable AI-assisted validation workflows. This contract, hybrid role is based in Euless, Texas.

The position focuses on delivering scalable AI solutions, improving efficiency, reducing errors, and documenting standard work for long-term team adoption.

Qualifications

• Experience developing prompts for Generative AI tools.
• Hands-on with Claude Code and AI-assisted development environments.
• Familiarity with OCR and intelligent document processing solutions.
• Ability translating business requirements into practical AI-driven solutions.
• Experience documenting processes and driving workflow improvements.

Responsibilities

• Analyze existing document-review and quality-validation workflows to identify automation opportunities.
• Partner with SMEs to translate business rules into effective AI prompts and repeatable workflows.
• Develop, test, and refine Generative AI solutions that improve accuracy and efficiency.
• Leverage OCR and document-processing tech to extract and validate information from scanned records.
• Investigate discrepancies and reduce manual review effort and errors.
• Create clear documentation and reusable AI assets to support long-term adoption.

Skills

Prompt engineering

GenAI tools

OCR

Document processing

AI workflows

Requirements translation

Tools

Claude

ChatGPT

GitHub Copilot

VS Code

OCR tech

Job description

Akkodis is seeking an AI Automation Analyst to transform document-heavy aerospace quality processes using Generative AI. You will work with SMEs to design AI prompts, enhance OCR/document processing accuracy, and create repeatable AI-assisted validation workflows. This contract, hybrid role is based in Euless, Texas.

The position focuses on delivering scalable AI solutions, improving efficiency, reducing errors, and documenting standard work for long-term team adoption.