AI Design Facilitator and Forward-Deployed Engineer II at Deloitte
Atlanta, GA
$82,600–$162,800from the description
Jul 24, 2026
Atlanta, GA
Jul 26, 2026
What this job asks for AI summary
A hybrid role sitting at the intersection of human-centered design and generative AI engineering. Day-to-day work spans building and delivering hands-on AI training for designers, engineers, and product managers; leading early-stage prototyping projects using generative AI tools; and incubating new AI products from concept through deployment. The role also carries client-facing advisory responsibilities and involves helping shape how design thinking is embedded into a forward-deployed engineering practice. Suits someone with a genuine design background who is equally comfortable writing or guiding code.
Junior level · 1+ years · Bachelor's required · Full-time
Advertised as Mid, but the requirements read as Junior.
“or” means any one of them counts — you don't need all of them.
Posted 8 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
What the occupation pays Median $106,287 (middle half $74,902–$162,313). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is a genuine hybrid between UX/design facilitation and forward-deployed (early-stage) software engineering, making SOC classification difficult. The primary framing is design-led (user research, HCD, workshops, design background required), which points to 15-1255; however, the 'Forward-Deployed Engineer' framing and rapid prototyping/code-shipping duties also pull toward 15-1252. Low confidence reflects this even split.
The title 'Engineer II' implies a level-2 individual contributor, mapped here as Mid (advertised). However, the actual requirements gate on only 1+ year of experience in both design and GenAI tools, which is entry-to-junior territory — hence seniority is assessed as Junior.
GitHub Copilot, Cursor, and Replit are listed together as interchangeable examples of GenAI dev tools in the required training content section; OpenAI, Anthropic, and Gemini are similarly listed as interchangeable AI platforms. Both groups are treated as single requirements with alternatives.
Airtable appears in the narrative description of tools taught (not in a formal requirements section) and is listed as preferred.
Agile methodologies appear only under the Preferred section.
Claude Code and Codex appear only under Preferred experience with Design and GenAI Software.
Read the full posting
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