agentic AI systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, agentic AI systems appears in 217 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning agentic AI systems, with demand share down 21.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want agentic AI systems?
Upload your resume and Skillenai will show which roles your agentic AI systems experience fits, which skills you already cover, and what is missing.
Frequently asked questions about agentic AI systems
+Is agentic AI systems in demand in 2026?
Yes. agentic AI systems appears in 217 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning agentic AI systems (12.9% of all postings mentioning agentic AI systems).
+What jobs require agentic AI systems?
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 agentic AI systems are AI/ML Scientist (9.1% of that role’s postings mention agentic AI systems), Data Science Consultant (7.4% of that role’s postings mention agentic AI systems), Application Security Architect (4.3% of that role’s postings mention agentic AI systems).
+What skills are commonly paired with agentic AI systems?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), agentic AI systems most often appears alongside Python, prompt engineering, AWS, Generative AI, vector databases.
+Where is agentic AI systems most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring agentic AI systems are Singapore, New York City, San Francisco, London, Toronto, according to the Skillenai jobs index.
+How can I keep up with new agentic AI systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning agentic AI systems alongside the jobs index. You can subscribe to a daily email digest of new agentic AI systems content from your Skillenai account.
+Which skills come before and after agentic AI systems?
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 agentic AI systems — last 90 days
Career paths around agentic AI systems
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before agentic AI systems
Skills after agentic AI systems
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: ESG as a service | 1 |
| Before: ECG capabilities | 1 |
| Before: Supply Chain | 1 |
| Before: data structures and algorithms | 1 |
| After: REST APIs | 1 |
| After: exploratory data analysis (EDA) | 1 |
| After: data modeling | 1 |
| After: GCP Cloud Functions | 1 |
| After: documentation | 1 |
Roles most likely to require agentic AI systems
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI/ML Scientist | 2 | 9.1% |
| Data Science Consultant | 5 | 7.4% |
| Application Security Architect | 1 | 4.3% |
| Software Quality Engineer | 2 | 3.8% |
| Founding Product Engineer | 1 | 3.8% |
| Data Science Analyst | 1 | 3.7% |
| AI Security Architect | 1 | 3.6% |
| Engineering Lead | 4 | 3.3% |
| AI Application Engineer | 1 | 3.1% |
| AI Research Intern | 1 | 3.1% |
Roles with the most agentic AI systems postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 28 | 12.9% |
| AI Engineer | 25 | 11.5% |
| Software Developer | 11 | 5.1% |
| Data Scientist | 10 | 4.6% |
| Machine Learning Engineer | 6 | 2.8% |
| Data Science Consultant | 5 | 2.3% |
| Research Scientist | 5 | 2.3% |
| AI Architect | 4 | 1.8% |
| Applied AI Researcher | 4 | 1.8% |
| Data Science Manager | 4 | 1.8% |
Top companies posting jobs requiring agentic AI systems
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Testnisc | 10 |
| Accenture | 10 |
| CLERA | 8 |
| Elsevier | 7 |
| Visa | 6 |
| Lovable | 6 |
| Cisco | 6 |
| Mastercard | 5 |
| Barclays | 4 |
| Nebius | 4 |
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 agentic AI systems
| Name | Postings | Share |
|---|---|---|
| Singapore | 8 | 3.7% |
| New York City | 7 | 3.2% |
| San Francisco | 7 | 3.2% |
| London | 6 | 2.8% |
| Toronto | 5 | 2.3% |
| Amsterdam | 4 | 1.8% |
| Athens | 4 | 1.8% |
| Cambridge | 4 | 1.8% |
| Hyderabad | 4 | 1.8% |
Skills commonly paired with agentic AI systems
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 agentic AI systems by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s agentic AI systems postings by all agentic AI systems 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
- 3c5131d096dadf27
- data_as_of
- 2026-10-29
- window_days
- 90