Senior Level AI Data Specialist Jobs
Senior level ai data specialist jobs place experienced professionals in charge of model strategy, data infrastructure decisions, and the cross-functional teams that turn raw data into production-ready AI systems. Hiring concentrates across Banking & Financial Services, Technology & Software, and Healthcare & Medical Services, with a mix of remote, hybrid, and on-site roles, and employers like Northwest Bank, JPMorganChase, and Veeam Software hiring at this level now.
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Showing 5 of 13+ Senior Level AI Data Specialist 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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Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Technology & Software
- Healthcare & Medical Services
- Fintech
- Insurance
Senior Level AI Data Specialist Jobs: Frequently Asked Questions
How do I get a senior level ai data specialist job?
Employers hiring at the senior level look for candidates who have owned end-to-end data pipelines, led model development projects, and can demonstrate measurable business impact from their work. A strong portfolio of production deployments, experience mentoring junior analysts or engineers, and fluency in MLOps practices give candidates a clear edge over those with equivalent years but narrower scope.
Which companies hire senior level ai data specialists?
Companies hiring senior level ai data specialists right now include Northwest Bank, JPMorganChase, and Veeam Software, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate among technology-forward enterprises, data-intensive platforms, and large organizations building or scaling internal AI capabilities.
Are there remote senior level ai data specialist jobs?
Yes, remote and hybrid options are common at the senior level given the independent, project-driven nature of the work. About 17% of senior level ai data specialist openings are remote or hybrid as of November 2026, reflecting employer confidence in placing experienced professionals outside the office for complex, judgment-heavy roles.
What makes an ai data specialist role senior level?
Senior level roles are defined by ownership and scope rather than task execution. At this stage, professionals are expected to set technical direction for data and modeling work, evaluate and select tools or frameworks, mentor less experienced team members, and take accountability for outcomes across entire projects or product areas, not just individual deliverables.
Which industries hire the most senior level ai data specialists?
Senior level ai data specialist 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 operate at the scale where mature AI infrastructure, governance, and strategic data leadership directly affect competitive outcomes.