Senior Level AI Research Engineer Jobs
Senior level ai research engineer jobs place experienced researchers in charge of defining model architectures, owning research agendas, and leading the teams and projects that push applied AI forward. Roles concentrate in Technology & Software, Science & Research, and Banking & Financial Services, with a strong 27% remote and hybrid share, and employers like Articul8, Northwest Bank, and NVIDIA hiring at this level now.
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Showing 5 of 39+ Senior Level AI Research Engineer jobs
Position: AI Engineer
Location: Charlotte, NC | Saint Louis MO - Hybrid
Job Description:
- Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 10+ years of experience.
- Strong experience in AI/ML engineering experience.
- Experience with Google Cloud Platform (GCP) and cloud-based AI/ML deployments.
- Proficiency in Python programming and developing production-grade applications.
- Hands-on experience with NLP, Generative AI, LLMs, and transformer-based models.
- Strong knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval.
- Experience building Agentic AI applications, AI-powered workflows, and LLM-based automation.
- Knowledge of MLOps/LLMOps practices, including model lifecycle management, evaluation, deployment, and monitoring.
- Experience designing APIs, microservices, and scalable distributed applications.
- Understanding of enterprise architecture, cloud security, IAM, and system integration.
- Excellent problem-solving, communication.
Position: AI Engineer
Location: Charlotte, NC | Saint Louis MO - Hybrid
Job Description:
- Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 10+ years of experience.
- Strong experience in AI/ML engineering experience.
- Experience with Google Cloud Platform (GCP) and cloud-based AI/ML deployments.
- Proficiency in Python programming and developing production-grade applications.
- Hands-on experience with NLP, Generative AI, LLMs, and transformer-based models.
- Strong knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector search, and semantic retrieval.
- Experience building Agentic AI applications, AI-powered workflows, and LLM-based automation.
- Knowledge of MLOps/LLMOps practices, including model lifecycle management, evaluation, deployment, and monitoring.
- Experience designing APIs, microservices, and scalable distributed applications.
- Understanding of enterprise architecture, cloud security, IAM, and system integration.
- Excellent problem-solving, communication.
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Find JobsSenior Level AI Research Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software20
- Science & Research8
- Banking & Financial Services7
- Investment & Asset Management3
- Fintech2
Senior Level AI Research Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai research engineer job?
Employers at this level look for a demonstrated research portfolio, meaning published work, patents, or shipping models at scale that others can point to. Beyond technical depth in areas like deep learning, reinforcement learning, or large language models, hiring teams expect candidates to show they have shaped a project direction, mentored junior researchers, and communicated findings to cross-functional stakeholders. A strong GitHub presence and citations help.
Which companies hire senior level ai research engineers?
Companies hiring senior level ai research engineers right now include Articul8, Northwest Bank, and NVIDIA, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large technology firms running foundational model programs, well-funded AI startups scaling research teams, and enterprise companies embedding AI into core products.
Are there remote senior level ai research engineer jobs?
Yes, and it is more common at this level than in many other engineering disciplines. About 27% of senior level ai research engineer openings are remote or hybrid as of November 2026, reflecting both the knowledge-work nature of the role and the competitive market for senior research talent that pushes employers to drop location requirements.
What makes an ai research engineer role senior level?
A senior level role shifts ownership from executing assigned tasks to setting technical direction. That means selecting research approaches, defining evaluation frameworks, and making architectural decisions that junior engineers implement. Senior ai research engineers are also expected to mentor team members, lead collaborations across product and engineering, and represent the team's work in leadership or external forums.
Which industries hire the most senior level ai research engineers?
Senior level ai research engineer roles concentrate in Technology & Software, Science & Research, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. Those sectors drive the most hiring because they are either building AI as a core product or deploying large-scale models to automate high-value workflows where research-grade expertise is required.