feat(ruag): submit AI Engineer C5I, and record the Kdo Cy package

RUAG C5I - AI Engineer C5I (Thun, app ID 18027): SUBMITTED 2026-08-27.
Evidence Fit 74/100, fit class Stretch, title-capability hard gate FAIL
(R1 build/operate the AI-LLM platform and R2 in-house LLM/retrieval are
Adjacent, not Direct) - all knowingly accepted under the user's explicit
Phase 0 override. Consumes the cohort's sole Stretch slot: cohort is now
6/10, Stretch 1/1.

Critique ran twice. Round 1 scored the documents 85/100 and raised three
Tier 1 items; Round 2, after the fixes, scores 93/100 with truth and
provenance 24/25 and zero Tier 1 findings. Evidence Fit did not move and
was not allowed to: PP-3 is a personal project and cannot convert an
Adjacent title-capability into a Direct one.

Documents (.tex is the deliverable; PDFs are gitignored):
- resume 2pp/13 bullets, letter 1pp/295 words, both validators PASS
- headline is now the canonical title "Staff Data, Analytics & AI
  Engineer", which puts the req's own word above the fold
- PP-3 added as a Projekte section - the only current Linux/hardening
  evidence, since BS-6 ended Dec 2022
- the letter names the AI-platform gap in one sentence, then connects
  SW-5 to C5I's stated DevSecOps model
- "governte" -> "governance-konforme"; JD term coverage 18/22 -> 22/22
  claimable, with all six gap terms still correctly absent

Two defects found and fixed that the first critique missed:
- the resume never loaded babel, so a German document was hyphenated
  with English patterns (Hal-bleiterfertigung, Tran-skription). Fixed
  with babel[ngerman] plus a Transkription exception; this also cleared
  an overfull box. Check this on every future German package -
  resume_template.tex likely has the same omission.
- IBM AI Engineering had no primary-source record. Certificate read
  directly (IBM via Coursera, 4 Jun 2020, verify 3ZBZFVAL6A34), recorded
  as entry #8; it also proves PyTorch, now evidence: certification.

Also included: the submitted Kdo Cy DevOps Engineer III package, the
Capgemini omit rule promoted into config.md, BW-1 canonicalized in
experience_bundeswehr.md, and a scout.py comment correcting the
telenorgroup slug from "near-empty" to a claimed board serving stale
phantom listings that DEMO_TITLES would not catch.

Compensation, PSP/project eligibility and role level were never resolved
before sending and are now live screening topics.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JMcHCsTKWvVzqyLChF5ckk

AGENTS.md

@@ -157,6 +157,8 @@ _Update this section when starting/finishing a JD._
 
 | Session | Status | Next Command |
 |---------|--------|-------------|
+| RUAG C5I - **AI Engineer C5I**, **Thun** (application ID 18027) | **SUBMITTED 2026-08-27** via jobs.ruag.ch (portal only). Evidence Fit **74/100**, fit class **Stretch**, hard gate **FAIL** (R1/R2, the title-defining responsibilities, are Adjacent not Direct), Document Quality **93/100** after a critique-and-fix round, channel **Weak/cold**. German CV 2 pages/13 bullets + motivation letter 1 page/295 words; validators PASS, 0 boxes, visual QA clean. **Cohort now 6/10 and the sole Stretch slot is CONSUMED (Stretch 1/1).** Positioning is his canonical title Staff Data, Analytics & AI Engineer; `PP-3` carries current Linux/hardening evidence and `SW-5` ties DevSecOps to C5I's stated model. The letter names the AI-platform gap in one sentence. Honest gaps: no AI/LLM platform, no compute/GPU cluster, no RAG/retrieval, ML/AI frameworks certification-context only. **Compensation, PSP/project eligibility and level were never resolved and are now live screening topics.** Marco Heinzen's published direct line was never used. **If rejected, do not drop RUAG** - Senior DevOps Engineer C5I and Data Lakehouse / Senior Data Platform Engineer are shortlisted and fit better. | Await response; optional calls to Marco Heinzen (scope/level) and Frank Haugwitz (comp/PSP). |
+| Schweizer Armee - **Kommando Cyber (Kdo Cy)**, DevOps Engineer III (Data Platform), **Zimmerwald** (Ref JRQ$540-19848) | **SUBMITTED 2026-08-27.** Evidence Fit **79/Core**, hard gate **PASS**, Document Quality **92/100**, channel **Weak**. German 2-page CV plus 1-page motivation letter; validators PASS, 0 boxes, visual QA clean. BW-1 surfaces the six-year Bundeswehr officer career. User explicitly accepted the critique's remaining BS-1 wording issue (*„ohne manuellen Eingriff“*) as good enough and submitted unchanged. Cohort evidence-first-2026-01 is now 5/10, Core 3/7. | Await response; optional post-submit call to Marcel Matthey-Doret about Lohnklasse, Engineer-III level and development path. |
 | Google - Software Engineer III, Business Home, Zurich (req 93922217108087494) | **CLOSED - NOT PROCEEDING 2026-07-28** (submitted 2026-07-27; Core, Evidence Fit 89/100, Document Quality 94/100; no interview). Rapid early-screen disposition; known risks were Mid-level versus current Staff scope, data/platform versus product-SWE positioning, preferred algorithms/accessibility gaps, and a cold channel. | Done - cohort rejection recorded; do not treat this outcome alone as a document-quality failure |
 | Microsoft — Principal Forward Deployed Engineer, SWE (German Speaking), Zürich (req 200043897) | **SUBMITTED 2026-07-27** (84.2/100 Pass 2; finalized 2-page resume + 1-page cover letter). Strong native-German, Staff progression, production ownership and enterprise-data-readiness case; honest gaps remain in end-to-end LLM delivery, Azure AI and strategic-account FDE experience. | Done — await response |
 | BIS Basel — Senior Data & Analytics Engineer, AI (jr100429, 3-yr term) | **SENT 2026-07-10** (80.5/100; deadline 2026-07-24; hybrid Basel, English-working intl org). Critique flags LLM-depth probe (integration/config vs. ownership) as the screening risk — prep honest answer before any call | Prep interview brief when screening lands |