Senior Level AI Product Engineer Jobs
Senior level ai product engineer jobs put experienced builders in charge of product direction, technical architecture decisions, and the cross-functional teams that ship AI systems from prototype to scale. Openings are concentrated across on-site, remote, and hybrid settings in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with Okta, Northwest Bank, and Stripe hiring at this level now.
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Showing 5 of 69+ Senior Level AI Product 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 & Software38
- Banking & Financial Services10
- Consulting & Professional Services4
- Insurance2
- Healthcare & Medical Services2
Senior Level AI Product Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai product engineer job?
Employers at this level look for candidates who have shipped AI-powered products end to end and can articulate the tradeoffs they made along the way. Strong candidates demonstrate ownership of roadmap decisions, experience collaborating across data science, engineering, and design, and a pattern of mentoring more junior teammates. Highlight systems you built, scaled, or meaningfully improved, not just projects you contributed to.
Which companies hire senior level ai product engineers?
Companies hiring senior level ai product engineers right now include Okta, Northwest Bank, and Stripe, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers both established technology firms scaling AI capabilities and growth-stage companies where senior engineers often carry broad product and technical responsibility simultaneously.
Are there remote senior level ai product engineer jobs?
Yes, remote and hybrid options are common at this level. About 44% of senior level ai product engineer openings are remote or hybrid as of November 2026, reflecting how broadly distributed AI product teams have become. Many organizations hiring senior engineers prioritize experience and ownership over physical location, making this one of the more flexible roles in the field.
What makes an ai product engineer role senior level?
Senior level roles are defined by scope and ownership rather than task execution. A senior ai product engineer sets technical direction for AI features or systems, owns outcomes across the full product lifecycle, and is accountable for decisions that affect team velocity and product quality. They are also expected to mentor junior and mid-level engineers, influence cross-functional stakeholders, and operate with minimal day-to-day oversight.
Which industries hire the most senior level ai product engineers?
Senior level ai product 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 hiring at this level because they are actively integrating AI into core products and operations, creating sustained demand for engineers who can own that work from strategy through delivery.