Senior Level AI Research Scientist Jobs
Senior level ai research scientist jobs place experienced researchers in charge of defining problem framing, owning model development end to end, and leading the teams that bring foundational and applied work to production. Openings skew toward 22% remote and hybrid settings across Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with employers like Northwest Bank, NVIDIA, and Databricks hiring at this level now.
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Showing 5 of 21+ Senior Level AI Research Scientist 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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Top Industries Hiring
- Technology & Software11
- Banking & Financial Services6
- Healthcare & Medical Services2
- Investment & Asset Management2
- Fintech1
Senior Level AI Research Scientist Jobs: Frequently Asked Questions
How do I get a senior level ai research scientist job?
Employers hiring at the senior level look for candidates who have shipped research to production, not just published it. A strong publication record matters, but so does demonstrated ownership of a full project lifecycle, from problem definition through deployment. The clearest edge comes from showing you've shaped a research agenda, mentored junior researchers, and made architectural decisions that held up at scale.
Which companies hire senior level ai research scientists?
Companies hiring senior level ai research scientists right now include Northwest Bank, NVIDIA, and Databricks, based on current listings on Migrate Mate as of November 2026. Hiring at this level is concentrated among organizations with dedicated research labs, large-scale ML infrastructure, and the budget to support long-horizon work alongside applied product goals.
Are there remote senior level ai research scientist jobs?
Yes, though availability varies by employer and research focus. About 22% of senior level ai research scientist openings are remote or hybrid as of November 2026, reflecting the field's strong orientation toward distributed, asynchronous work. Roles tied to proprietary hardware, robotics, or lab-based experimentation are more likely to require on-site presence.
What makes an ai research scientist role senior level?
Senior level ai research scientist roles are defined by ownership and scope rather than task execution. At this stage, you set the technical direction for a research area, make independent decisions on methodology and infrastructure, and are expected to mentor junior scientists and contribute to hiring. The work goes beyond implementing known approaches to advancing them, with direct accountability for research outcomes.
Which industries hire the most senior level ai research scientists?
Senior level ai research scientist roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily at this level because they have both the data infrastructure and the competitive pressure that make foundational research directly valuable to core business outcomes.