Job Title: AI Architect
Location: Hybrid (Charlotte, NC & iselin, NJ)
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 Google Cloud Platform.
· 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 Google Cloud Platform.
· 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.
