model routing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-31, model routing appears in 282 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning model routing, with demand share up 30.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-31
Which roles want model routing?
Upload your resume and Skillenai will show which roles your model routing experience fits, which skills you already cover, and what is missing.
Frequently asked questions about model routing
+Is model routing in demand in 2026?
Yes. model routing appears in 282 job postings indexed by Skillenai over the 90 days ending 2026-10-31. Software Engineer accounts for the most postings mentioning model routing (19.1% of all postings mentioning model routing).
+What jobs require model routing?
According to the Skillenai jobs index over the 90 days ending 2026-10-31, among roles with at least 20 postings, the highest shares mentioning model routing are AI Transformation Lead (9.1% of that role’s postings mention model routing), AI Manager (8.7% of that role’s postings mention model routing), AI Enablement Lead (8.6% of that role’s postings mention model routing).
+What skills are commonly paired with model routing?
Across job postings indexed by Skillenai (90 days ending 2026-10-31), model routing most often appears alongside Python, observability, RAG, caching, prompt engineering.
+Where is model routing most in demand?
As of 2026-10-31, the metro areas posting the most jobs requiring model routing are San Francisco, New York City, San Jose, Pune, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new model routing content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning model routing alongside the jobs index. You can subscribe to a daily email digest of new model routing content from your Skillenai account.
+Which skills come before and after model routing?
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 model routing — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around model routing
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require model routing
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Transformation Lead | 7 | 9.1% |
| AI Manager | 2 | 8.7% |
| AI Enablement Lead | 3 | 8.6% |
| Applied Research Scientist | 2 | 8.0% |
| AI Ops Engineer | 2 | 6.7% |
| AI Engineering Lead | 2 | 5.6% |
| AI Operations Engineer | 2 | 5.6% |
| AI Platform Architect | 1 | 5.0% |
| Founding AI Engineer | 1 | 4.8% |
| AI Platform Engineer | 12 | 4.5% |
Roles with the most model routing postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 54 | 19.1% |
| AI Engineer | 36 | 12.8% |
| Product Manager | 13 | 4.6% |
| AI Platform Engineer | 12 | 4.3% |
| Machine Learning Engineer | 8 | 2.8% |
| AI Transformation Lead | 7 | 2.5% |
| ML Engineer | 7 | 2.5% |
| Applied AI Engineer | 6 | 2.1% |
| Research Engineer | 6 | 2.1% |
| Staff Engineer | 6 | 2.1% |
Top companies posting jobs requiring model routing
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 25 |
| Capital One | 6 |
| Decagon | 6 |
| Bosch | 6 |
| INFUSE | 5 |
| ServiceNow | 5 |
| Allianz | 4 |
| FIS | 4 |
| Floqast | 4 |
| Syngenta | 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 model routing
| Name | Postings | Share |
|---|---|---|
| San Francisco | 48 | 17.0% |
| New York City | 14 | 5.0% |
| San Jose | 9 | 3.2% |
| Pune | 5 | 1.8% |
| Bengaluru | 4 | 1.4% |
| Bucharest | 4 | 1.4% |
| Munich | 4 | 1.4% |
| Tel Aviv | 4 | 1.4% |
| Barcelona | 3 | 1.1% |
Skills commonly paired with model routing
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 2026-10-31. 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 model routing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s model routing postings by all model routing 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
- f8978dcd870df35c
- data_as_of
- 2026-10-31
- window_days
- 90