AI Architect

Cenicor Technologies Inc.; Charlotte (NC); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Cenicor Technologies Inc. is seeking a Sr. AI/Cloud Solutions Architect to design and lead AI architectures for enterprise applications.

You will define strategy, reference architectures, standards, and roadmaps, and design solutions using LLMs, Generative AI, RAG, AI agents, and prompts. You will evaluate models and platforms across AWS/Azure/GCP, integrate AI with enterprise systems, and ensure security, governance, and data privacy.

Qualifications

• 10+ years in software/solution architecture.
• 10+ years in architecture fields.
• 3+ years with Generative AI & LLMs.
• 3+ years with AWS/Azure/GCP.
• 3+ years Python & AI/ML frameworks.
• 2+ years designing RAG, vector search, embeddings.
• 2+ years integrating AI/LLM via REST APIs.
• 2+ years AI security, governance, data privacy, responsible AI.
• 3+ years enterprise integration & distributed systems.
• 2+ years leading AI PoCs & production implementations.
• 3+ years collaborating with cross-functional teams.

Responsibilities

• Design and lead AI architectures for enterprise applications and business solutions.
• Define AI strategy, reference architectures, tech standards, and roadmaps.
• Design solutions using LLMs, GenAI, RAG, AI agents, prompts, and AI services.
• Evaluate models, platforms, and cloud services per requirements.
• Design secure, scalable AI solutions across AWS/Azure/GCP.
• Integrate AI with enterprise apps, APIs, databases, and data platforms.
• Design RAG pipelines, vector databases, embeddings, and knowledge retrieval.
• Establish AI security, governance, privacy, and risk controls.
• Collaborate with stakeholders, data scientists, ML engineers, DevOps.
• Lead PoCs from architecture to production implementation.
• Define performance, scalability, reliability, cost, and monitoring.
• Provide technical leadership and mentorship to teams.

Skills

AI architecture

Generative AI

LLMs

Cloud platforms

Python

RAG pipelines

APIs integration

AI security

Cross-functional leadership

PoCs

Education

Bachelor's degree in CS/Engineering/AI/Data Science

Tools

LangChain

Pinecone

Azure OpenAI

OpenAI

Job description

Location: Charlotte, NC & iselin, NJ (Need local candidate who can be available to work in Hybrid model)

F2F interview required.

Day-to-Day Job Duties

• Design and lead AI/Generative AI architectures for enterprise applications and business solutions.
• Define AI strategy, reference architectures, technology standards, and implementation roadmaps.
• Design solutions using LLMs, Generative AI, RAG, AI agents, prompt engineering, and AI/ML services.
• Evaluate and select AI models, platforms, frameworks, and cloud services based on business and technical requirements.
• Design secure and scalable AI solutions across AWS, Azure, or GCP.
• Integrate AI capabilities with enterprise applications, APIs, databases, and data platforms.
• Design RAG pipelines, vector databases, embeddings, document processing, and knowledge retrieval solutions.
• Establish AI security, governance, responsible AI, data privacy, and model-risk controls.
• Collaborate with business stakeholders, data scientists, ML engineers, software engineers, architects, and DevOps teams.
• Lead PoCs and prototypes and guide solutions from architecture through production implementation.
• Define AI solution performance, scalability, reliability, cost, and monitoring requirements.
• Provide technical leadership and mentor development teams on AI architecture and implementation.

Basic Qualifications

• 10+ years of experience in software architecture, technology architecture, or solution architecture.
• 5+ years of experience designing AI/ML or advanced analytics solutions.
• 3+ years of experience with Generative AI and LLM-based solutions.
• 3+ years of experience with cloud platforms such as AWS, Azure, or GCP.
• 3+ years of experience with Python and AI/ML development frameworks.
• 2+ years of experience designing RAG, vector search, embeddings, and knowledge-retrieval solutions.
• 2+ years of experience integrating AI/LLM services through REST APIs or enterprise applications.
• 2+ years of experience with AI security, governance, data privacy, and responsible AI practices.
• 3+ years of experience with enterprise application integration, APIs, databases, and distributed systems.
• 2+ years of experience leading AI PoCs, prototypes, or production implementations.
• 3+ years of experience working with cross-functional engineering, data, product, and business teams.

Education

• Bachelor’s degree in computer science, Engineering, Artificial Intelligence, Data Science, or a related field.

Nice to Have

• 2+ years of experience with AI agents and agentic workflows.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, or Anthropic.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Experience with vector databases such as Pinecone, Azure AI Search, OpenSearch, or similar technologies.
• Experience with MLOps/LLMOps, model monitoring, evaluation, and AI observability.
• Experience in financial services, insurance, or other regulated industries.
• Experience implementing enterprise-scale AI modernization initiatives.