Enterprise systems jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-06, Enterprise systems appears in 150 job postings indexed by Skillenai over the past 90 days — Applied AI Architect has the most postings mentioning Enterprise systems.
Last updated · 90d ending 2026-11-06
Which roles want Enterprise systems?
Upload your resume and Skillenai will show which roles your Enterprise systems experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Enterprise systems
+Is Enterprise systems in demand in 2026?
Yes. Enterprise systems appears in 150 job postings indexed by Skillenai over the 90 days ending 2026-11-06. Applied AI Architect accounts for the most postings mentioning Enterprise systems (14.0% of all postings mentioning Enterprise systems).
+What jobs require Enterprise systems?
According to the Skillenai jobs index over the 90 days ending 2026-11-06, among roles with at least 20 postings, the highest shares mentioning Enterprise systems are Applied AI Architect (31.3% of that role’s postings mention Enterprise systems), AI Engineering Lead (6.5% of that role’s postings mention Enterprise systems), AI Deployment Lead (4.8% of that role’s postings mention Enterprise systems).
+What skills are commonly paired with Enterprise systems?
Across job postings indexed by Skillenai (90 days ending 2026-11-06), Enterprise systems most often appears alongside machine learning, data science, Python, Cloud architectures, LLM frameworks.
+Where is Enterprise systems most in demand?
As of 2026-11-06, the metro areas posting the most jobs requiring Enterprise systems are New York City, London, San Francisco, Seoul, Sydney, according to the Skillenai jobs index.
+How can I keep up with new Enterprise systems content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Enterprise systems alongside the jobs index. You can subscribe to a daily email digest of new Enterprise systems content from your Skillenai account.
+Which skills come before and after Enterprise 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 Enterprise systems — last 90 days
Career paths around Enterprise systems
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Enterprise systems
Skills after Enterprise 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: Java | 2 |
| Before: cyber defense analysis | 1 |
| Before: scrum ceremonies | 1 |
| Before: honeybeacons | 1 |
| Before: ETL Tools | 1 |
| Before: defect management | 1 |
| Before: retrospectives | 1 |
| Before: test planning | 1 |
| After: retrospectives | 1 |
| After: testing | 1 |
| After: Enterprise Guidance | 1 |
| After: network usage | 1 |
| After: enterprise scale solutions | 1 |
| After: DDD | 1 |
| After: threat actor identification | 1 |
| After: migration | 1 |
Roles most likely to require Enterprise systems
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Applied AI Architect | 21 | 31.3% |
| AI Engineering Lead | 2 | 6.5% |
| AI Deployment Lead | 1 | 4.8% |
| Product Management Director | 1 | 4.8% |
| AI Enablement Manager | 1 | 4.3% |
| Sales Director | 1 | 2.8% |
| Cybersecurity Specialist | 3 | 1.5% |
| Business Architect | 1 | 1.1% |
| Information Security Officer | 1 | 1.1% |
| Deployment Strategist | 1 | 1.0% |
Roles with the most Enterprise systems postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Applied AI Architect | 21 | 14.0% |
| Solutions Architect | 14 | 9.3% |
| Product Manager | 13 | 8.7% |
| Business Analyst | 9 | 6.0% |
| Automation Engineer | 6 | 4.0% |
| Software Engineer | 6 | 4.0% |
| Solution Architect | 6 | 4.0% |
| Systems Engineer | 6 | 4.0% |
| Program Manager | 5 | 3.3% |
| Technical Program Manager | 5 | 3.3% |
Top companies posting jobs requiring Enterprise systems
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Anthropic | 31 |
| Roboyo | 6 |
| Stripe | 3 |
| Notion | 3 |
| International N&H Denmark ApS | 3 |
| Novartis | 2 |
| Qventus | 2 |
| Onhires | 2 |
| Airkit | 2 |
| CLERA | 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 Enterprise systems
| Name | Postings | Share |
|---|---|---|
| New York City | 9 | 6.0% |
| London | 5 | 3.3% |
| San Francisco | 5 | 3.3% |
| Seoul | 5 | 3.3% |
| Sydney | 5 | 3.3% |
| Boston | 4 | 2.7% |
| Hyderabad | 4 | 2.7% |
| Singapore | 4 | 2.7% |
| Chennai | 3 | 2.0% |
Skills commonly paired with Enterprise 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 2026-11-06. 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 Enterprise systems by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Enterprise systems postings by all Enterprise 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 51193422638da9f9
- data_as_of
- 2026-11-06
- window_days
- 90