AI Architect

Location:

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

F2F interview required.

• 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 Dev Ops 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.

• 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.

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

• 2+ years of experience with AI agents and agentic workflows.
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, or Anthropic
  .
• Experience with Lang Chain, Lang Graph, Llama Index, or similar frameworks.
• Experience with vector databases such as Pinecone, Azure AI Search, Open Search, 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.