Senior Level AI Consultant Jobs
Senior level ai consultant jobs put experienced practitioners in charge of AI strategy, solution architecture, and the cross-functional teams and workstreams that turn concepts into deployed systems. Roles skew 47% remote or hybrid across Technology & Software, Banking & Financial Services, and Accounting & Auditing, with employers like Northwest Bank, EY, and HP hiring at this level now.
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Showing 5 of 21+ Senior Level AI Consultant 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 & Software
- Banking & Financial Services
- Accounting & Auditing
- Healthcare & Medical Services
- Energy
Senior Level AI Consultant Jobs: Frequently Asked Questions
How do I get a senior level ai consultant job?
Employers at this level look for candidates who have led AI initiatives end-to-end, not just contributed to them. Demonstrating ownership of model selection, deployment architecture, and measurable business outcomes sets strong applicants apart. A portfolio of delivered projects, experience guiding junior team members, and fluency in translating technical tradeoffs for executive stakeholders carries significant weight in the hiring process.
Which companies hire senior level ai consultants?
Companies hiring senior level ai consultants right now include Northwest Bank, EY, and HP, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of global consulting firms, enterprise technology vendors, and large organizations standing up dedicated AI practices.
Are there remote senior level ai consultant jobs?
Yes, remote and hybrid arrangements are common at this level. About 47% of senior level ai consultant openings are remote or hybrid as of November 2026, reflecting how many organizations treat experienced AI consultants as strategic hires who can operate effectively without being on-site daily.
What makes an ai consultant role senior level?
Senior level ai consultant roles are defined by scope and ownership rather than task execution. Expectations include setting the technical direction for engagements, owning client relationships and deliverable quality, architecting solutions across the full AI lifecycle, and mentoring or managing mid-level consultants. The role is as much about judgment and influence as it is about technical skill.
Which industries hire the most senior level ai consultants?
Senior level ai consultant roles concentrate in Technology & Software, Banking & Financial Services, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive hiring at this level because they have both the budget for senior-tier engagements and complex, high-stakes use cases that require experienced AI leadership.