Principal, AI-Native SDLC Architecture

Architect

Principal, AI-Native SDLC Architecture

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  • Date posted
    May 7, 2026
  • Expiration date
    August 7, 2026
  • Application ends
    August 7, 2026

Our Client Currently looking for Principal, AI-Native SDLC Architecture

 

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

Design Graduated SDLC Standards and Practices

  • Define prescriptive practice standards across multiple tiers of development criticality — from personal experimentation through operationally critical, SCI-adjacent systems
  • Establish standards across key dimensions: structure, testing, documentation, error handling, dependencies, storage, review, and operability
  • Elevate existing documentation, architecture decisions, integration patterns, and deployment procedures to the level of detail that drives consistent results from both human and AI developers
  • Design documentation and testing standards that serve double duty: readable by human developers joining a project and consumable by AI agents starting a coding session
  • Encode tier-appropriate standards into persistent context files (CLAUDE.md, AGENTS.md, planning templates) as a natural output of well-documented practices — not as a separate AI-specific exercise
  • Design graduation triggers and assessment mechanisms for artifacts moving between tiers

Enable Citizen Development at Scale

  • Create low-friction pathways for lower-tier development that enable experimentation without bureaucratic overhead
  • Design intake, classification, and registry processes for citizen-developed tools — visibility without paralysis
  • Solve the path from working prototype to supported environment at every tier

Drive Organizational Adoption

  • Pilot the graduated SDLC with 2+ development teams, iterating based on real-world feedback
  • Build alignment across Engineering, Architecture, Security, QA, and Governance/Risk functions
  • Establish a quarterly organizational learning system where operational data, code review patterns, graduation assessments, and incident post-mortems feed back into living standards
  • Develop training and coaching programs that help developers at every level internalize the standards — not just comply with them
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