Senior Level AI Solutions Engineer Jobs
Senior level ai solutions engineer jobs place experienced professionals in charge of enterprise AI architecture, client outcome ownership, and the cross-functional teams that deliver production solutions. Roles concentrate across Technology & Software, Banking & Financial Services, and Electronics & Hardware, with a mix of on-site, remote, and hybrid settings, and employers like Northwest Bank, NVIDIA, and Genesys hiring at this level now.
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Showing 5 of 40+ Senior Level AI Solutions Engineer jobs
Job Title: AI Engineer – Agentic AI
Location: Charlotte, NC
Employment: W2 Only
Experience: 12+ Years
JD:
- Design and develop agentic AI solutions using LLMs such as GPT, Azure OpenAI, and Claude.
- Build multi-agent workflows with planning, memory, and tool-use capabilities.
- Integrate APIs, enterprise systems, and knowledge sources into AI workflows.
- Develop prompt engineering strategies and implement RAG pipelines.
- Build and optimize AI solutions using vector databases such as FAISS, Pinecone, and Azure AI Search.
- Develop REST APIs and microservices while ensuring scalability, security, and performance.
Key Skills:
- Python
- LangChain
- Semantic Kernel
- AutoGen
- CrewAI
- RAG
- LLMs
- Prompt Engineering
- Embeddings
- Vector Databases
- REST APIs
- Microservices
- Azure AI/AWS AI Services
Job Title: AI Engineer – Agentic AI
Location: Charlotte, NC
Employment: W2 Only
Experience: 12+ Years
JD:
- Design and develop agentic AI solutions using LLMs such as GPT, Azure OpenAI, and Claude.
- Build multi-agent workflows with planning, memory, and tool-use capabilities.
- Integrate APIs, enterprise systems, and knowledge sources into AI workflows.
- Develop prompt engineering strategies and implement RAG pipelines.
- Build and optimize AI solutions using vector databases such as FAISS, Pinecone, and Azure AI Search.
- Develop REST APIs and microservices while ensuring scalability, security, and performance.
Key Skills:
- Python
- LangChain
- Semantic Kernel
- AutoGen
- CrewAI
- RAG
- LLMs
- Prompt Engineering
- Embeddings
- Vector Databases
- REST APIs
- Microservices
- Azure AI/AWS AI Services
See All 40 Senior Level AI Solutions Engineer Jobs
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Find JobsSenior Level AI Solutions Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software13
- Banking & Financial Services7
- Electronics & Hardware4
- Healthcare & Medical Services3
- Automotive2
Senior Level AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai solutions engineer job?
Employers at this level look for candidates who have led end-to-end AI solution deployments, not just contributed to them. A strong portfolio demonstrating ownership of architecture decisions, measurable client outcomes, and the ability to translate complex AI capabilities into business value is essential. Experience mentoring engineers and influencing technical roadmaps gives candidates a clear edge over those with equivalent years but narrower scope.
Which companies hire senior level ai solutions engineers?
Companies hiring senior level ai solutions engineers right now include Northwest Bank, NVIDIA, and Genesys, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes primarily from large technology firms, cloud platform providers, and enterprise software companies building out dedicated AI practice teams.
Are there remote senior level ai solutions engineer jobs?
Yes, though availability varies by employer and client engagement model. About 35% of senior level ai solutions engineer openings are remote or hybrid as of November 2026, reflecting the field's strong acceptance of distributed technical work. Client-facing roles may still require periodic on-site presence, so it is worth reviewing each posting for travel expectations.
What makes an ai solutions engineer role senior level?
Senior level roles are defined by ownership rather than execution. At this stage, engineers are expected to define solution architecture independently, lead discovery and scoping with enterprise clients, and set technical direction for delivery teams. Mentoring junior and mid-level engineers is a standard expectation, and success is measured by client outcomes and platform adoption, not individual task completion.
Which industries hire the most senior level ai solutions engineers?
Senior level ai solutions engineer roles concentrate in Technology & Software, Banking & Financial Services, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively scaling AI-powered products and workflows that require experienced engineers who can own the full solution lifecycle from design through deployment.