AI Engineering Jobs in United States
There are 3,916 open AI Engineering jobs in United States on freehire right now. 799 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $165,000 | $202,000 | $242,000 | 692 |
| USD | hour | $36 | $58 | $68 | 21 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 60%
- python 53%
- machine-learning 50%
- agentic-ai 48%
- cloud 42%
- api 38%
- generative-ai 35%
How the work is done
- Remote 683 · 17%
- Hybrid 547 · 14%
- Onsite 356 · 9%
Visa sponsorship offered in 54% of the 860 postings that state a position on it.
Seniority
- Senior 964
- Lead 332
- Principal 220
- Staff 216
- C-level 77
- Intern 72
Who is hiring
- 1000+ employees 853
- 501-1000 employees 326
- 11-50 employees 134
- 51-200 employees 98
- 201-500 employees 19
- 1-10 employees 15
Product Manager II, YouTube Generative AI Security
YouTube’s Product Manager leads AI security strategy, defining risk principles and building defenses for generative AI features like Ask on Search to protect millions of users.
Applied AI Solutions Architect
Design and lead end-to-end AI solutions for enterprise clients, translating business goals into scalable, production-grade AI systems while collaborating with cross-functional teams.
OH - Lead AI Engineer (Google CCAI, MS Foundry, AWS) - Remote - 808940
Lead AI Engineer designs and builds AI agents using Google CCAI, Microsoft Foundry, and AWS for Ohio's JFS, mentoring junior engineers.
AI Architect (GENAI)
Leads architecture for an agentic AI platform, designing RAG pipelines and hybrid orchestration across Appian, Snowflake, and CRM systems.
Junior AI Engineer
Build and deploy AI/ML models, including generative AI and LLM-based apps, using frameworks like GPT or open-source models, and design RAG pipelines with vector databases.
Associate Director, Applied AI Engineering-PxE Talent
Lead AI/ML and GenAI engineering efforts, define technical direction, and implement scalable, secure AI solutions while mentoring engineers and setting engineering standards.
Gen AI Engineer (Access Mgmt)
Build and integrate generative AI models into identity and access management systems to automate access decisions, improve governance workflows, and enhance certification quality using Python, SQL, and data pipelines.
Strong Junior/ Middle AI Engineer
Build production-ready AI agents, Voice AI solutions, and RAG pipelines using modern LLMs and agent frameworks like LangChain.
Senior Technical Project Manager – Applied AI
Oversee AI infrastructure projects, coordinating cross-functional teams to deploy new AI models and cloud regions while managing risks and dependencies.
Strong Middle AI Engineer
Builds production-ready AI systems for international clients, focusing on Voice AI and LLM integration, from design to deployment.
Cyber AI Automation Engineer
Build and deploy AI-driven automation for cybersecurity operations, integrating ML models with SIEM/SOAR tools to automate threat detection, triage, and response in a global enterprise.
AI Engineer - Cyber Programs
Senior role testing AI systems for vulnerabilities like prompt injection and data poisoning, designing adversarial testing methodologies, and hardening AI models and infrastructure against attacks.
Senior AI Engineer
Build production AI systems and platforms, integrating retrieval, prompt/agent logic, and evaluation/guardrails across the stack to deliver internal AI tools.
Lead GenAI Forward Deployed Engineer, YouTube GTM Operations
Leads AI application development for YouTube GTM operations, building GenAI prototypes, evaluation pipelines, and production systems while ensuring safety, compliance, and performance.
Senior Forward Deployed Engineer, GenAI, YouTube GTM Operations
Builds and deploys GenAI prototypes and production pipelines for YouTube GTM operations, including frontends, backends, and evaluation frameworks.
Staff Research Engineer, Applied AI, DeepMind
Research and deploy AI agents and workflows, curate datasets, and lead end-to-end ML model deployment from prototype to production.