AI Architect (GenAI & Agentic AI)
$55,000–$90,000 year
On-siteCharlotte, North Carolina, United States
Job Summary
Lead the architecture and design of enterprise-grade Generative AI and agentic systems, leveraging Large Language Models, RAG, and modern cloud services to build scalable AI platforms. Develop reusable frameworks, establish engineering best practices, and design secure integrations with enterprise applications and data platforms. Partner with stakeholders to define AI strategy, identify use cases, and guide engineering teams through architecture reviews and solution delivery. Establish AI governance, observability, and responsible AI practices while mentoring teams to drive technical excellence. Stay current with emerging technologies and evaluate their applicability to complex business problems.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 10+ years of software engineering, solution architecture, or enterprise architecture experience
- 3+ years designing and delivering Generative AI or Machine Learning solutions in production
- Strong experience designing cloud-native architectures on Azure, AWS, or GCP
- Hands-on experience with Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)
- Experience implementing Retrieval-Augmented Generation (RAG), vector databases, semantic search, and prompt engineering
- Strong programming experience in Python and modern API development frameworks
- Experience with containerization, Kubernetes, CI/CD, Infrastructure as Code, and modern DevOps practices
- Strong understanding of distributed systems, APIs, microservices, and enterprise integration patterns
Desired Qualifications
- Experience with AI Agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar
- Experience building enterprise knowledge platforms and AI-enabled search solutions
- Exposure to MLOps, LLMOps, AI observability, and model lifecycle management
- Experience integrating AI solutions with enterprise platforms such as ServiceNow, GitHub, Jira, cloud infrastructure, or ITSM tools
- Experience working within highly regulated industries such as Financial Services, Insurance, Healthcare, or Telecommunications
- Strong consulting and stakeholder management skills
- Ability to influence technical and business leadership
- Excellent communication and presentation skills
- Ability to lead cross-functional engineering teams in agile environments
- Passion for innovation, continuous learning, and solving complex business problems through AI
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