# forward-deployed-ai-engineer-data

> forward-deployed-ai-engineer-data — rishabhsaini282-forward-deployed-ai-engineer-data. Use this tool when you need to navigate the hiring process or career development for applied AI engineering roles, as it provides aggregated 2026 salary curves, 3-stage interview blueprints, and case study rubrics to inform your decisions. It solves problems related to salary benchmarking, interview preparation, and readiness assessment, offering a 90-day roadmap for optimal results. Ideal for use by AI engineers, recruiters, or career advisors seeking data-driven insights to enhance their hiring or career advancement strategies.

Canonical page: https://skillsregistry.net/skills/rishabhsaini282-forward-deployed-ai-engineer-data  
JSON: https://api.skillsregistry.net/v1/skills/rishabhsaini282-forward-deployed-ai-engineer-data

## Description

Aggregated 2026 salary curves, 3-stage interview blueprints, case study rubrics, and the 90-day readiness roadmap for applied AI engineering roles.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rishabhsaini282/forward-deployed-ai-engineer-data)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rishabhsaini282-forward-deployed-ai-engineer-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rishabhsaini282-forward-deployed-ai-engineer-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rishabhsaini282-forward-deployed-ai-engineer-data/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt