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Kernel Jobs Near Me

kgs

Principal Network/ Systems Engineer

Columbus, OH

This involves deep-packet analysis, log correlation across multiple platforms (Windows/Linux/Cisco), and kernel-level debugging. Implementation of Emerging Tech: * Execute the deployment of advanced ...

Pwc

AI Solutions Engineering Delivery Lead

Columbus, OH

$99K - $130K/yr

... Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly ...

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How much do kernel jobs pay per year?

As of Jul 27, 2026, the average yearly pay for kernel in the United States is $155,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $169,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Kernel jobs? Cities with the most Kernel job openings:
What states have the most Kernel jobs? States with the most job openings for Kernel jobs include:
Kernel jobs near you
A map of the United States highlighting the number of Kernel job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Kernel job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Tech Lead / Lead Architect - RAG & Agentic AI

HAGNOS TECH LLC

Columbus, OH • On-site

$51.50 - $70.75/hr

Other

Posted 20 days ago

Job description

Job Title: Tech Lead / Lead Architect – RAG & Agentic AI
Location: Columbus, OH/ Wilmington, DE – 3 days onsite role
Local candidate: locals only
Duration: Long Term Project
Interview Mode: Phone + video
 
Role Summary:
Lead architecture, design, and delivery of Agentic AI and RAG-based solutions, partnering with customers and internal teams to build scalable, secure, and high-impact AI systems.
Must-Have:
  1. Strong experience in RAG pipelines, embeddings, vector DBs, LLM orchestration, and prompting techniques.
  2. Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets Manager).
  3. Ability to design end-to-end AI architecture and build PoCs before committing solutions to customers.
  4. Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud security patterns.
  5. Proven ability to lead from the front, mentor teams, and own delivery under tight timelines and high visibility.
  6. Strong customer communication skills – ability to explain architecture, trade-offs, and risks clearly.
  7. Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems.
  8. Expertise in API design, microservices integration, and event-driven architectures for AI systems.
Good-to-Have:
  1. Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
  2. Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
  3. Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.
 

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