Senior Level Senior AI Software Engineer Jobs
Senior level senior ai software engineer jobs place experienced engineers in charge of architectural decisions, system-wide outcomes, and the teams or projects responsible for delivering them. Hiring is spread across on-site, remote, and hybrid settings in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with employers like Databricks, Northwest Bank, and Rippling hiring at this level now.
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Showing 5 of 63+ Senior Level Senior AI Software 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 & Software37
- Banking & Financial Services10
- Consulting & Professional Services5
- Electronics & Hardware4
- Insurance3
Senior Level Senior AI Software Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior ai software engineer job?
Employers hiring at this level look for engineers who have moved beyond executing tasks to owning outcomes. Strong candidates demonstrate end-to-end delivery of production AI systems, a history of influencing architectural decisions, and the ability to mentor junior engineers. Published research, open-source contributions, or measurable business impact from deployed models give candidates a clear edge in competitive applicant pools.
Which companies hire senior level senior ai software engineers?
Companies hiring senior level senior ai software engineers right now include Databricks, Northwest Bank, and Rippling, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad mix of large technology firms, enterprise software companies, and well-funded startups building AI-native products.
Are there remote senior level senior ai software engineer jobs?
Yes, remote and hybrid options are widely available at this level. About 46% of senior level senior ai software engineer openings are remote or hybrid as of November 2026, reflecting the high demand for experienced AI talent and employers' willingness to hire outside major tech hubs to access a deeper candidate pool.
What makes a senior ai software engineer role senior level?
Senior level roles carry broader ownership than mid-level positions. Engineers at this stage set technical direction for AI systems rather than implementing against a spec, are accountable for the reliability and scalability of deployed models, lead cross-functional work with product and data teams, and are expected to mentor and develop less experienced engineers on the team.
Which industries hire the most senior level senior ai software engineers?
Senior level senior ai software engineer roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they are deploying AI at scale in production environments, which requires engineers with the depth and experience to own complex systems from design through delivery.