AI Architect resume skills and keywords
In 115 AI Architect job postings from 78 employers analysed on October 23, 2026, the most requested skills are LLMs (73 %), Communication (60 %), Leadership (55 %), APIs (54 %) and Python (50 %). Of the top 40 skills, 34 are hard skills, tools or certifications and 6 are soft skills.
Download the full list as a CSV or check your own resume against a posting with the free keyword scanner.
Top 40 skills in AI Architect job postings
| Skill | Share of postings | Type |
|---|---|---|
| LLMs | 73 % | Tool |
| Communication | 60 % | Soft skill |
| Leadership | 55 % | Soft skill |
| APIs | 54 % | Hard skill |
| Python | 50 % | Tool |
| AWS | 47 % | Tool |
| Azure | 35 % | Tool |
| Mentoring | 35 % | Soft skill |
| Collaboration | 33 % | Soft skill |
| Solution Architecture | 31 % | Hard skill |
| GCP | 30 % | Tool |
| RAG | 30 % | Tool |
| Generative AI | 29 % | Tool |
| CI/CD | 28 % | Tool |
| Data Science | 24 % | Hard skill |
| Logistics | 18 % | Hard skill |
| Snowflake | 17 % | Tool |
| Artificial Intelligence | 17 % | Hard skill |
| Guardrails | 17 % | Hard skill |
| Machine learning | 17 % | Hard skill |
| Kubernetes | 17 % | Tool |
| Problem Solving | 17 % | Soft skill |
| Reference architecture | 17 % | Hard skill |
| Data pipelines | 16 % | Hard skill |
| Prompt engineering | 16 % | Hard skill |
| SQL | 16 % | Tool |
| TypeScript | 16 % | Tool |
| Code review | 16 % | Hard skill |
| Machine Learning Operations | 15 % | Hard skill |
| Distributed systems | 15 % | Hard skill |
| Customer success | 15 % | Hard skill |
| LangChain | 14 % | Tool |
| Responsible-AI | 14 % | Hard skill |
| Solution Design | 14 % | Hard skill |
| Access Control | 14 % | Hard skill |
| Cloud architecture | 14 % | Hard skill |
| AI Governance | 13 % | Hard skill |
| Semantic | 13 % | Hard skill |
| Accountability | 13 % | Soft skill |
| Evaluation frameworks | 13 % | Tool |
Hard skills vs soft skills vs tools and certifications
Hard skills (20)
- APIs 54 %
- Solution Architecture 31 %
- Data Science 24 %
- Logistics 18 %
- Artificial Intelligence 17 %
- Guardrails 17 %
- Machine learning 17 %
- Reference architecture 17 %
- Data pipelines 16 %
- Prompt engineering 16 %
- Code review 16 %
- Machine Learning Operations 15 %
- Distributed systems 15 %
- Customer success 15 %
- Responsible-AI 14 %
- Solution Design 14 %
- Access Control 14 %
- Cloud architecture 14 %
- AI Governance 13 %
- Semantic 13 %
Soft skills (6)
- Communication 60 %
- Leadership 55 %
- Mentoring 35 %
- Collaboration 33 %
- Problem Solving 17 %
- Accountability 13 %
Tools and software (14)
- LLMs 73 %
- Python 50 %
- AWS 47 %
- Azure 35 %
- GCP 30 %
- RAG 30 %
- Generative AI 29 %
- CI/CD 28 %
- Snowflake 17 %
- Kubernetes 17 %
- SQL 16 %
- TypeScript 16 %
- LangChain 14 %
- Evaluation frameworks 13 %
Keyword phrases recruiters use
Multi-word phrases that recur across these ai architect postings, with the share of postings that use each one.
How to use this on your resume
Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.
Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.
Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the AI Architect resume example. Then prepare for the AI Architect interview questions that test them.
Build a ai architect resume with these skills
Start in the editor, tailor your bullets to the job you want and download an ATS-friendly resume.