AI models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, AI models appears in 173 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning AI models, with demand share down 15.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want AI models?
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Frequently asked questions about AI models
+Is AI models in demand in 2026?
Yes. AI models appears in 173 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning AI models (12.1% of all postings mentioning AI models).
+What jobs require AI models?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning AI models are Field Application Engineer (10.0% of that role’s postings mention AI models), Research Fellow (10.0% of that role’s postings mention AI models), Computer Scientist (8.7% of that role’s postings mention AI models).
+What skills are commonly paired with AI models?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), AI models most often appears alongside Python, machine learning, LLMs, SQL, APIs.
+Where is AI models most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring AI models are San Francisco, San Jose, New York City, Singapore, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new AI models content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning AI models alongside the jobs index. You can subscribe to a daily email digest of new AI models content from your Skillenai account.
+Which skills come before and after AI models?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring AI models — last 90 days
Career paths around AI models
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before AI models
Skills after AI models
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 3 |
| Before: comprehensive report | 2 |
| Before: sql | 2 |
| Before: spark | 1 |
| Before: image classification | 1 |
| Before: US aid | 1 |
| Before: dairy project | 1 |
| Before: creative writing | 1 |
| After: sql | 3 |
| After: Slack | 2 |
| After: computer vision | 2 |
| After: Fivetran | 1 |
| After: predictive analytics | 1 |
| After: machine learning algorithms | 1 |
| After: conversational systems | 1 |
| After: Data quality | 1 |
Roles most likely to require AI models
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Field Application Engineer | 2 | 10.0% |
| Research Fellow | 2 | 10.0% |
| Computer Scientist | 2 | 8.7% |
| Professor | 2 | 8.7% |
| AI Governance Lead | 2 | 8.3% |
| AI Intern | 2 | 6.1% |
| Data Science Engineer | 2 | 5.9% |
| AI Engineer Intern | 1 | 5.0% |
| Quantitative Risk Analyst | 1 | 4.2% |
| Forward Deployed Software Engineer | 1 | 2.1% |
Roles with the most AI models postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 21 | 12.1% |
| Product Manager | 11 | 6.4% |
| AI Engineer | 8 | 4.6% |
| Technical Product Manager | 6 | 3.5% |
| Security Engineer | 5 | 2.9% |
| ML Engineer | 4 | 2.3% |
| AI Product Manager | 3 | 1.7% |
| Data Scientist | 3 | 1.7% |
| Machine Learning Engineer | 3 | 1.7% |
| AI Governance Lead | 2 | 1.2% |
Top companies posting jobs requiring AI models
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Cisco | 8 |
| Oscar Health | 7 |
| Truist | 5 |
| ClickUp | 3 |
| Sands | 3 |
| Scale AI | 3 |
| Nash | 2 |
| Allianz | 2 |
| 2 | |
| Freshworks | 2 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for AI models
| Name | Postings | Share |
|---|---|---|
| San Francisco | 13 | 7.5% |
| San Jose | 8 | 4.6% |
| New York City | 7 | 4.0% |
| Singapore | 5 | 2.9% |
| Bengaluru | 4 | 2.3% |
| Austin | 3 | 1.7% |
| Paris | 3 | 1.7% |
| Barcelona | 2 | 1.2% |
| Copenhagen | 2 | 1.2% |
Skills commonly paired with AI models
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning AI models by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AI models postings by all AI models postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- be3ccf67bfd6911a
- data_as_of
- 2026-10-30
- window_days
- 90