Multimodal AI jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-01, Multimodal AI appears in 181 job postings indexed by Skillenai over the past 90 days — AI Engineer has the most postings mentioning Multimodal AI, with demand share up 7.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-01
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Frequently asked questions about Multimodal AI
+Is Multimodal AI in demand in 2026?
Yes. Multimodal AI appears in 181 job postings indexed by Skillenai over the 90 days ending 2026-10-01. AI Engineer accounts for the most postings mentioning Multimodal AI (16.6% of all postings mentioning Multimodal AI).
+What jobs require Multimodal AI?
According to the Skillenai jobs index over the 90 days ending 2026-10-01, among roles with at least 20 postings, the highest shares mentioning Multimodal AI are Founding AI Engineer (23.8% of that role’s postings mention Multimodal AI), Applied AI Scientist (6.9% of that role’s postings mention Multimodal AI), Deep Learning Engineer (6.7% of that role’s postings mention Multimodal AI).
+What skills are commonly paired with Multimodal AI?
Across job postings indexed by Skillenai (90 days ending 2026-10-01), Multimodal AI most often appears alongside Python, computer vision, machine learning, deep learning, LLMs.
+Where is Multimodal AI most in demand?
As of 2026-10-01, the metro areas posting the most jobs requiring Multimodal AI are San Francisco, Bengaluru, Singapore, San Jose, Barcelona, according to the Skillenai jobs index.
+How can I keep up with new Multimodal AI content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Multimodal AI alongside the jobs index. You can subscribe to a daily email digest of new Multimodal AI content from your Skillenai account.
+Which skills come before and after Multimodal 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 Multimodal AI — last 90 days
Career paths around Multimodal AI
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Multimodal AI
Skills after Multimodal 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: python | 2 |
| Before: NLP | 1 |
| Before: responder-only mode | 1 |
| Before: Silver Peak's EdgeConnect | 1 |
| Before: SD-WAN | 1 |
| Before: IPsec | 1 |
| Before: tf-idf | 1 |
| Before: keyword extraction | 1 |
| After: Version control | 1 |
| After: Git | 1 |
| After: HTML/CSS | 1 |
| After: Figma | 1 |
| After: React | 1 |
| After: TypeScript | 1 |
Roles most likely to require Multimodal AI
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Founding AI Engineer | 5 | 23.8% |
| Applied AI Scientist | 2 | 6.9% |
| Deep Learning Engineer | 2 | 6.7% |
| Gen AI Engineer | 1 | 5.0% |
| AI Lead | 1 | 4.5% |
| Tech Lead Manager | 1 | 4.5% |
| AI / ML Engineer | 2 | 3.9% |
| Partner Solutions Architect | 1 | 3.8% |
| Generative AI Engineer | 2 | 3.8% |
| AI Research Scientist | 3 | 3.8% |
Roles with the most Multimodal AI postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| AI Engineer | 30 | 16.6% |
| Software Engineer | 12 | 6.6% |
| Solutions Architect | 12 | 6.6% |
| Conversational AI Developer | 11 | 6.1% |
| Machine Learning Engineer | 11 | 6.1% |
| Research Engineer | 7 | 3.9% |
| Product Manager | 6 | 3.3% |
| Data Scientist | 5 | 2.8% |
| Founding AI Engineer | 5 | 2.8% |
| AI Research Engineer | 3 | 1.7% |
Top companies posting jobs requiring Multimodal AI
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 14 |
| NVIDIA | 13 |
| PwC | 11 |
| TwelveLabs | 5 |
| INSPYR Solutions | 4 |
| Scopely | 4 |
| OpenAI | 3 |
| ABBYY | 3 |
| Bosch | 3 |
| Adobe | 3 |
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 Multimodal AI
| Name | Postings | Share |
|---|---|---|
| San Francisco | 30 | 16.6% |
| Bengaluru | 9 | 5.0% |
| Singapore | 8 | 4.4% |
| San Jose | 6 | 3.3% |
| Barcelona | 5 | 2.8% |
| London | 5 | 2.8% |
| Cambridge | 4 | 2.2% |
| Budapest | 3 | 1.7% |
| Cupertino | 3 | 1.7% |
Skills commonly paired with Multimodal AI
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-01. 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 Multimodal AI by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Multimodal AI postings by all Multimodal 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: 0.1% 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- 380532f7ba43f4c6
- data_as_of
- 2026-10-01
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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