Magnus Hedemarkandfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
c0c7690724
Move the 8 directories under bundles/ to the repo root via git mv and remove the now-empty bundles/ directory. Replace the "bundles" entry in pyproject.toml [tool.deptry] extend_exclude with the 8 moved dir names so the moved trees stay excluded from Python dependency analysis. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
2.8 KiB
Source Index
Checked 2026-08-05. These are official employer-authored role descriptions, used only for role observations. The lifecycle, artifacts, authority protocol, failure-mode mitigations, and generalization model are normative bundle design. The sources come from large software and AI vendors; they do not establish that the bundle applies universally across business, public-sector, nonprofit, internal-service, or non-product settings. Portability is a design objective that must be tested in the engagement context.
| Source | Authority | Supported claims | Limitations and refresh rule |
|---|---|---|---|
| Palantir: A Day in the Life of a Palantir Forward Deployed Software Engineer | Official employer-authored role account | FDSEs embed with customers; configure existing platforms; combine software development, data engineering, customer engagement, and creative problem solving; implement collaboratively; use engineering review, deployment, maintenance, and monitoring; return configurations, workflows, and field expertise to product and deployment teams | One employee account with employer-specific products, titles, and examples. Do not universalize those details. Recheck the URL and role-account scope before materially revising source claims. |
| OpenAI: Forward Deployed Engineer | Current official employer role description | FDEs turn research into production systems with customers; own discovery, scoping, design, build, rollout; measure adoption and workflow impact; use eval-driven feedback; guide adoption; codify patterns and return field feedback | Employer-specific AI role description. Excludes universal employment qualifications, location, travel, mission, and stack. Recheck current role page before citing current responsibilities. |
| Databricks: AI Engineer — FDE | Current official employer role description | A specialized customer-facing AI team builds and productionizes first-of-kind applications and works cross-functionally with engineering, product, developer relations, and internal SMEs | Retrieved overview exposes only these responsibilities. Do not infer missing qualifications or duties. Recheck the role page before adding claims. |
Claim discipline
Source facts must cite one of these entries. Engagement evidence must cite the charter, ledger, evaluation, deployment, adoption, or measurement artifact that observed it. Inferences and recommendations must be labeled as such. A source does not prove that a local engagement succeeded, that a pattern generalizes, or that an authority exists.