Senior Level AI Jobs
Senior level ai jobs place experienced professionals in ownership of system architecture, research direction, and the cross-functional teams that ship production AI at scale. Roles are concentrated across Banking & Financial Services, Technology & Software, and Healthcare & Medical Services, with a mix of on-site, remote, and hybrid settings, and employers like Northwest Bank, JPMorganChase, and Credit One Bank hiring at this level now.
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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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Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Technology & Software
- Healthcare & Medical Services
- Fintech
- Insurance
Senior Level AI Jobs: Frequently Asked Questions
How do I get a senior level ai job?
Employers at this level look for candidates who have led end-to-end AI projects, not just contributed to them. Demonstrated ownership of model development, deployment pipelines, or research programs carries more weight than credentials alone. A portfolio showing measurable production impact, along with experience mentoring engineers or presenting technical direction to stakeholders, gives candidates a real edge over peers with similar years of experience.
Which companies hire senior level ais?
Companies hiring senior level ais right now include Northwest Bank, JPMorganChase, and Credit One Bank, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad range of employers, including large technology firms, AI-native startups scaling their research teams, and enterprise organizations building internal AI capabilities across product and infrastructure functions.
Are there remote senior level ai jobs?
Yes, remote opportunities are well represented at this experience level. About 18% of senior level ai openings are remote or hybrid as of November 2026, reflecting the industry's continued appetite for distributed technical talent. Senior ai professionals with strong async communication skills and experience leading distributed teams are particularly well positioned for these roles.
What makes an ai role senior level?
Senior ai roles are defined by scope and ownership rather than task execution. At this level, professionals are expected to set technical direction, make architectural decisions, and take accountability for outcomes across a project or product area. Mentoring junior and mid-level engineers, collaborating with product and business stakeholders, and driving research or engineering strategy are standard expectations that distinguish senior roles from mid-level positions.
Which industries hire the most senior level ais?
Senior level ai roles concentrate in Banking & Financial Services, Technology & Software, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are deploying AI at production scale, require deep technical leadership to manage complex systems, and compete intensely for professionals who can own outcomes rather than simply execute assigned work.