Enterprise systems jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, Enterprise systems appears in 179 job postings indexed by Skillenai over the past 90 days — Applied AI Architect has the most postings mentioning Enterprise systems, with demand down 7% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
179
Demand vs prior month
down 7% vs the prior 4 weeks
Top role · 15.6% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Enterprise systems

+Is Enterprise systems in demand in 2026?

Yes. Enterprise systems appears in 179 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 7% vs the prior 4 weeks. Applied AI Architect accounts for the most postings mentioning Enterprise systems (15.6% of all postings mentioning Enterprise systems).

+What jobs require Enterprise systems?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Enterprise systems are Applied AI Architect (38.9% of that role’s postings mention Enterprise systems), AI Engineering Lead (6.2% of that role’s postings mention Enterprise systems), Enterprise Data Architect (5.0% 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 2026-09-28), Enterprise systems most often appears alongside machine learning, Python, data science, Cloud architectures, LLM frameworks.

+Where is Enterprise systems most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring Enterprise systems are New York City, Washington, Hyderabad, London, Tokyo, 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.

Weekly job postings requiring Enterprise systems — last 90 days

Roles most likely to require Enterprise systems

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Applied AI Architect2838.9%
AI Engineering Lead26.2%
Enterprise Data Architect15.0%
AI Deployment Lead14.2%
AI Tech Consultant13.1%
AI Tech Architect12.7%
Founding Engineer32.5%
Cybersecurity Specialist52.2%
Deployment Strategist11.7%
Application Engineer11.5%

Roles with the most Enterprise systems postings

RolePostings mentioning skillShare of skill postings
Applied AI Architect2815.6%
Solutions Architect1810.1%
Product Manager147.8%
Business Analyst95.0%
Software Engineer95.0%
Automation Engineer84.5%
Systems Engineer73.9%
Solution Architect63.4%
Cybersecurity Specialist52.8%
Program Manager52.8%

Top metros hiring for Enterprise systems

NamePostingsShare
New York City116.1%
Washington95.0%
Hyderabad84.5%
London84.5%
Tokyo63.4%
Berlin52.8%
Munich52.8%
San Francisco52.8%
Mumbai42.2%

Skills commonly paired with Enterprise systems

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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).

source
Skillenai jobs index, deduplicated daily
entity_id
51193422638da9f9
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Enterprise systems?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index