AI Architect (GenAI & Agentic AI)(Onsite with IN person Interview)

Job Title: AI Architect (GenAI & Agentic AI)

Location: Charlotte, NC (Onsite with Inperson Interview)

Employment Type: Contract to Hire

About the Role

We are seeking an experienced AI Architect to lead the design and delivery of

enterprise-grade AI solutions. This role is ideal for someone who combines deep

expertise in Generative AI, cloud-native architectures, and enterprise software

engineering with the ability to translate business challenges into scalable AI platforms.

You will work closely with business stakeholders, enterprise architects, and engineering

teams to define AI strategy, architect intelligent systems, and drive the successful

implementation of AI-powered applications across the enterprise.

Key Responsibilities

• Lead the architecture and design of enterprise AI and Generative AI solutions.

• Design scalable AI platforms leveraging Large Language Models (LLMs),

Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud services.

• Develop AI reference architectures, reusable frameworks, and engineering best

practices.

• Partner with business and technology stakeholders to identify AI use cases and

define implementation roadmaps.

• Guide engineering teams through architecture reviews, technical decisionmaking, and solution delivery.

• Design secure, scalable integrations with enterprise applications, APIs, and data

platforms.

• Establish AI governance, observability, security, and responsible AI practices.

• Mentor engineering teams and drive technical excellence across AI initiatives.

• Stay current with emerging AI technologies and evaluate their applicability to

enterprise use cases.

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.

Preferred 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.

Technical Skills

• Python

• Azure OpenAI / OpenAI APIs

• LangChain, LangGraph, CrewAI or equivalent frameworks

• RAG, Vector Databases (Azure AI Search, Pinecone, pgVector, Weaviate, etc.)

• FastAPI / REST APIs

• Azure, AWS, or GCP

• Docker & Kubernetes

• GitHub Actions / Azure DevOps

• SQL & NoSQL Databases

• Terraform or Infrastructure as Code

Leadership Competencies

• 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.