Skip to main content
Posted 02 August, 2026

AI Technical Writer

BCForward
Farmington Hills, MI, US Full Time

Job Description

Job Description

We are currently looking for an AI technical Writer to join our team/ work with one of our clients.

Position : AI technical Writer

Location : Farmington Hills, MI

Client :AMEX

Job Description:

  • 5–7 years of technical writing experience in software, platform, or infrastructure environments
  • Demonstrated ability to produce accurate technical content from primary sources — code, configuration, specifications, runbooks — with limited hand-holding
  • Strong information architecture instincts: taxonomy, cross-linking, layered structure, and progressive disclosure
  • Experience authoring reference material, standards, or specification documentation consumed by engineers
  • Comfort working directly with developers and engineers, including the credibility to push back when source material is incomplete or contradictory
  • Experience partnering with governance, risk, security, or compliance stakeholders
  • Editorial discipline — consistency of terminology, voice, and structure maintained across many documents and contributors
  • Familiarity with docs-as-code practice: Markdown, version control, and content that lives in a repository alongside the systems it describes
  • Clear verbal communication — much of the source material is gathered in conversation, not handed over

Nice to Have

  • Hands-on experience writing prompts, agent instructions, or reusable skill definitions for LLM-based systems
  • Understanding of context management techniques for AI agents — progressive disclosure, context window economics, retrieval strategy
  • Experience with structured content — YAML or JSON frontmatter validated against a schema, content models, or typed document formats
  • Working comfort with Git and CLI-based authoring workflows — pull requests, validation tooling, link checking, and CI feedback
  • Exposure to taxonomy design, ontologies, knowledge graphs, or controlled vocabularies
  • Background in developer documentation, API documentation, or internal platform documentation
  • Familiarity with AI agent concepts — tool use, orchestration, retrieval, and agent context protocols such as MCP
  • Reading-level familiarity with Python, TypeScript, Terraform, or YAML-based configuration
  • Experience in banking, financial services, or another regulated industry