AI Architect

VDart Inc; Charlotte (NC); Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

VDart Inc. seeks an AI Architect to design and lead enterprise AI/Generative AI architectures, define strategy, and create implementation roadmaps.

You will craft solutions with LLMs, RAG, AI agents, and secure cloud deployments across AWS, Azure, or GCP, while guiding cross-functional teams from PoC to production. The role requires 10+ years in software/solution architecture and 5+ years in AI/ML design, with strong cloud and Python expertise.

Qualifications

• 10+ years in software or solution architecture.
• 5+ years designing AI/ML or advanced analytics solutions.
• 3+ years with Generative AI and LLMs.
• 3+ years with cloud platforms (AWS, Azure, GCP).
• 3+ years integrating AI/LLM services via REST APIs.
• Bachelor's degree in CS/Engineering/AI/Data Science or related field.

Responsabilités

• 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 requirements.
• Design secure and scalable AI solutions across AWS, Azure, or GCP.
• Collaborate with stakeholders, data scientists, ML engineers, software engineers, architects, and DevOps teams.
• Lead PoCs and prototypes and guide solutions from architecture through production implementation.
• Establish AI security, governance, data privacy, and model-risk controls.
• Provide technical leadership and mentor development teams on AI architecture.

Connaissances

AI architecture

Generative AI

Cloud platforms

Python

REST APIs

MLOps/LLMOps

Cross-functional leadership

Formation

Bachelor's degree in CS/Engineering/AI/DS

Outils

AWS Bedrock

Azure OpenAI

Google Vertex AI

OpenAI

Anthropic

LangChain

Pinecone

LlamaIndex

Kubernetes

Description du poste

Title: AI Architect

Location: Charlotte, NC & Iselin, NJ (Hybrid)

Type: Contract

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.