Companies in the United States using LLMOps
231 companies headquartered in the United States list LLMOps as a requirement in 460 open roles. Most of those roles are in AI and machine learning, solutions engineering and data science teams. LLMOps most often appears next to Python, CI/CD, LLM, AWS and RAG. Roles that need it and state the pay sit at $182k a year in the middle.
Companies with the most open LLMOps roles
25 of 231 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Cognizant | 5000+ | 15 | AI and machine learning, Industrial engineering, Engineering leadership | $176k |
 UnitedHealth Group | 5000+ | 14 | AI and machine learning, Backend engineering, Engineering leadership | $160k |
 CoreWeave | 501-1000 | 11 | Solutions engineering, Sales | $212k |
 State Street | 5000+ | 10 | AI and machine learning, DevOps and infrastructure, Data science | $165k |
 Steampunk | 1001-5000 | 10 | AI and machine learning, Data science, Backend engineering | $143k |
 Citi | 5000+ | 9 | AI and machine learning, Engineering leadership | $186k |
 Databricks | 5000+ | 8 | AI and machine learning, Solutions engineering | — |
 Amgen | 5000+ | 8 | AI and machine learning, Data science, Backend engineering | $153k |
 Anaplan | 1001-5000 | 8 | AI and machine learning, Data science | — |
 Vizient | 1001-5000 | 7 | AI and machine learning, QA and testing, Engineering leadership | $141k |
 Cloudera | 1001-5000 | 7 | AI and machine learning | — |
 Caylent | 7 | Engineering leadership, DevOps and infrastructure | $156k | |
 Fractal | 1001-5000 | 6 | Data science, Customer success, AI and machine learning | — |
 Blend360 | 6 | AI and machine learning | — | |
 Hewlett Packard Enterprise | 5000+ | 6 | AI and machine learning, DevOps and infrastructure | — |
 IBM | 5000+ | 5 | Solutions engineering | — |
 Kyndryl | 5000+ | 5 | AI and machine learning, DevOps and infrastructure | — |
 Mastercard | 5000+ | 5 | AI and machine learning | — |
 Quantiphi | 1001-5000 | 5 | DevOps and infrastructure, AI and machine learning | — |
 Thermo Fisher Scientific | 1001-5000 | 5 | AI and machine learning, DevOps and infrastructure | — |
 Pipedrive | 501-1000 | 5 | AI and machine learning | — |
 Solventum Corporation | 1001-5000 | 4 | AI and machine learning | — |
 EXL | 5000+ | 4 | AI and machine learning, Engineering leadership, Solutions engineering | — |
 Teradyne | 1001-5000 | 4 | AI and machine learning, DevOps and infrastructure | $179k |
 Verizon | 5000+ | 4 | AI and machine learning, Frontend engineering, Communications | — |
LLMOps in other countries
What these companies also use
Teams hiring for LLMOps
Get all 231 companies as a list
Name, website, size, industry and headquarters of every company that requires LLMOps, through the API (company.getList with technology=LLMOps and country=US). 231 companies × 0.02 credits = 4.62 credits ($0.46).
Questions
How do you know a company uses LLMOps?
A company counts when at least one of its open job postings lists LLMOps as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of LLMOps itself are left out.
Which teams hire for LLMOps?
Of the 460 open roles that require it, most are in AI and machine learning (253), solutions engineering (42) and data science (40).
What do LLMOps roles pay?
172 of the 460 roles state the pay. The middle of their posted ranges is $182k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=LLMOps and country=US returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.