Senior Level AI Platform Engineer Jobs
Senior level ai platform engineer jobs place experienced engineers in charge of platform architecture decisions, infrastructure reliability at scale, and the cross-functional teams building and maintaining AI systems. Openings concentrate in Technology & Software, Insurance, and Banking & Financial Services, with a mix of on-site, hybrid, and remote positions available, and employers like GEICO, Sysdig, and Northwest Bank hiring at this level now.
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Showing 5 of 54+ Senior Level AI Platform 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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Who's Hiring
Top Industries Hiring
- Technology & Software29
- Insurance7
- Banking & Financial Services7
- Consulting & Professional Services4
- Fintech2
Senior Level AI Platform Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai platform engineer job?
Employers hiring at the senior level expect candidates to demonstrate ownership of platform design decisions, not just execution. Highlight systems you architected end-to-end, including model serving infrastructure, feature pipelines, or MLOps tooling at scale. Evidence of mentoring junior engineers, driving cross-team alignment, and reducing operational toil carries significant weight alongside deep hands-on technical credentials.
Which companies hire senior level ai platform engineers?
Companies hiring senior level ai platform engineers right now include GEICO, Sysdig, and Northwest Bank, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large technology firms, cloud-native startups scaling AI infrastructure, and enterprise organizations building internal ML platforms to support product and research teams.
Are there remote senior level ai platform engineer jobs?
Yes, remote and hybrid availability is strong at the senior level. About 34% of senior level ai platform engineer openings are remote or hybrid as of November 2026, reflecting employer willingness to hire experienced platform engineers regardless of location. On-site roles still exist, typically at companies requiring hands-on involvement with specialized hardware or secure infrastructure environments.
What makes an ai platform engineer role senior level?
Senior level ai platform engineer roles are defined by scope of ownership and technical authority. Responsibilities shift from implementing defined solutions to setting platform direction, making architectural trade-offs, and establishing engineering standards others follow. Senior engineers are expected to mentor mid-level teammates, lead incident response, collaborate with research and product leadership, and deliver reliable systems with minimal oversight.
Which industries hire the most senior level ai platform engineers?
Senior level ai platform engineer roles concentrate in Technology & Software, Insurance, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they operate AI systems at production scale, requiring senior engineers who can own reliability, optimize inference costs, and build the tooling that enables faster model deployment across large engineering organizations.