Artificial Intelligence (AI) jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, Artificial Intelligence (AI) appears in 413 job postings indexed by Skillenai over the past 90 days — Product Manager has the most postings mentioning Artificial Intelligence (AI), with demand share down 8.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
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Frequently asked questions about Artificial Intelligence (AI)
+Is Artificial Intelligence (AI) in demand in 2026?
Yes. Artificial Intelligence (AI) appears in 413 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Product Manager accounts for the most postings mentioning Artificial Intelligence (AI) (7.5% of all postings mentioning Artificial Intelligence (AI)).
+What jobs require Artificial Intelligence (AI)?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Artificial Intelligence (AI) are AI Operations Manager (17.4% of that role’s postings mention Artificial Intelligence (AI)), Lecturer (10.7% of that role’s postings mention Artificial Intelligence (AI)), Product Director (9.8% of that role’s postings mention Artificial Intelligence (AI)).
+What skills are commonly paired with Artificial Intelligence (AI)?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), Artificial Intelligence (AI) most often appears alongside machine learning (ML), machine learning, Python, SQL, automation.
+Where is Artificial Intelligence (AI) most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring Artificial Intelligence (AI) are Hyderabad, New York City, Toronto, Fort Meade, Singapore, according to the Skillenai jobs index.
+How can I keep up with new Artificial Intelligence (AI) content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Artificial Intelligence (AI) alongside the jobs index. You can subscribe to a daily email digest of new Artificial Intelligence (AI) content from your Skillenai account.
+Which skills come before and after Artificial Intelligence (AI)?
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 Artificial Intelligence (AI) — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around Artificial Intelligence (AI)
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Artificial Intelligence (AI)
Skills after Artificial Intelligence (AI)
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: C# | 1 |
| Before: quarter-over-quarter trend analysis | 1 |
| Before: program management | 1 |
| Before: Power BI | 1 |
| Before: Unity | 1 |
| Before: Unreal Engine | 1 |
| Before: interactive environments | 1 |
| Before: Game Development | 1 |
| After: AWS | 3 |
| After: machine learning | 2 |
| After: containers | 1 |
| After: yolo | 1 |
| After: spectral acquisition | 1 |
| After: AI | 1 |
| After: topic extraction | 1 |
| After: management | 1 |
Roles most likely to require Artificial Intelligence (AI)
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Operations Manager | 4 | 17.4% |
| Lecturer | 3 | 10.7% |
| Product Director | 4 | 9.8% |
| Machine Learning Manager | 2 | 9.1% |
| Computer Scientist | 2 | 8.7% |
| Radar Systems Engineer | 4 | 8.0% |
| Customer Program Manager | 2 | 8.0% |
| Data Science Analyst | 2 | 7.4% |
| Internal Auditor | 2 | 6.9% |
| AI Analyst | 2 | 6.2% |
Roles with the most Artificial Intelligence (AI) postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Product Manager | 31 | 7.5% |
| Software Engineer | 20 | 4.8% |
| Data Scientist | 16 | 3.9% |
| Systems Engineer | 10 | 2.4% |
| Program Manager | 8 | 1.9% |
| Business Analyst | 7 | 1.7% |
| AI/ML Engineer | 6 | 1.5% |
| Solution Architect | 6 | 1.5% |
| Architect | 5 | 1.2% |
| Product Owner | 5 | 1.2% |
Top companies posting jobs requiring Artificial Intelligence (AI)
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Twilio | 29 |
| Novartis | 25 |
| Allstate | 8 |
| Accenture | 8 |
| Sggovterp | 7 |
| Gsk | 7 |
| BlackRock | 7 |
| Renesas | 6 |
| NielsenIQ | 6 |
| General Motors | 6 |
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 Artificial Intelligence (AI)
| Name | Postings | Share |
|---|---|---|
| Hyderabad | 12 | 2.9% |
| New York City | 9 | 2.2% |
| Toronto | 9 | 2.2% |
| Fort Meade | 8 | 1.9% |
| Singapore | 8 | 1.9% |
| Cambridge | 6 | 1.5% |
| Chicago | 6 | 1.5% |
| London | 6 | 1.5% |
| Woburn | 6 | 1.5% |
Skills commonly paired with Artificial Intelligence (AI)
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 2026-10-29. 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 Artificial Intelligence (AI) by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Artificial Intelligence (AI) postings by all Artificial Intelligence (AI) 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: 0.2% to 0.2%. 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
- 2610d63803f0da1d
- data_as_of
- 2026-10-29
- window_days
- 90