vector stores jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, vector stores appears in 299 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning vector stores, with demand share down 3.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want vector stores?
Upload your resume and Skillenai will show which roles your vector stores experience fits, which skills you already cover, and what is missing.
Frequently asked questions about vector stores
+Is vector stores in demand in 2026?
Yes. vector stores appears in 299 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning vector stores (20.1% of all postings mentioning vector stores).
+What jobs require vector stores?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning vector stores are Machine Learning Manager (9.1% of that role’s postings mention vector stores), Large Language Model Architect (8.7% of that role’s postings mention vector stores), Delivery Consultant (7.0% of that role’s postings mention vector stores).
+What skills are commonly paired with vector stores?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), vector stores most often appears alongside Python, RAG, embeddings, prompt engineering, LangChain.
+Where is vector stores most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring vector stores are Berlin, London, Santa Clara, San Francisco, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new vector stores content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning vector stores alongside the jobs index. You can subscribe to a daily email digest of new vector stores content from your Skillenai account.
+Which skills come before and after vector stores?
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 vector stores — last 90 days
Career paths around vector stores
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before vector stores
Skills after vector stores
No published outgoing skill pairs yet.
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: ci/cd | 1 |
| Before: PostgreSQL | 1 |
| Before: REST APIs | 1 |
| Before: docker | 1 |
| Before: Docker Swarm | 1 |
| Before: ECS | 1 |
| Before: disaster recovery | 1 |
| Before: Rundeck | 1 |
Roles most likely to require vector stores
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Machine Learning Manager | 2 | 9.1% |
| Large Language Model Architect | 2 | 8.7% |
| Delivery Consultant | 3 | 7.0% |
| Generative AI Engineer | 3 | 6.1% |
| Field CTO | 2 | 5.0% |
| AI Engineer Intern | 1 | 5.0% |
| Chief Architect | 2 | 4.9% |
| AI Architect | 14 | 4.0% |
| AI Engineering Director | 2 | 3.9% |
| Lead Developer | 1 | 3.6% |
Roles with the most vector stores postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 60 | 20.1% |
| AI Engineer | 41 | 13.7% |
| Data Engineer | 15 | 5.0% |
| AI Architect | 14 | 4.7% |
| Machine Learning Engineer | 9 | 3.0% |
| Data Scientist | 8 | 2.7% |
| AI Developer | 5 | 1.7% |
| Applied AI Engineer | 5 | 1.7% |
| Forward Deployed Engineer | 5 | 1.7% |
| AI-Native Software Engineer | 4 | 1.3% |
Top companies posting jobs requiring vector stores
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 20 |
| ServiceNow | 18 |
| Onebrief | 10 |
| Twilio | 7 |
| Barclays | 6 |
| Salesforce | 5 |
| Steampunk | 5 |
| Teradata | 4 |
| PA Consulting | 4 |
| Elsevier | 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 vector stores
| Name | Postings | Share |
|---|---|---|
| Berlin | 18 | 6.0% |
| London | 16 | 5.4% |
| Santa Clara | 12 | 4.0% |
| San Francisco | 11 | 3.7% |
| Bengaluru | 9 | 3.0% |
| New York City | 8 | 2.7% |
| Hyderabad | 7 | 2.3% |
| McLean | 5 | 1.7% |
| Toronto | 5 | 1.7% |
Skills commonly paired with vector stores
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 2026-10-30. 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 vector stores by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s vector stores postings by all vector stores 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
- c0da970b2a8b5fd3
- data_as_of
- 2026-10-30
- window_days
- 90