Artificial Intelligence Engineer

Job Title: GenAI Architect

Location: New York City, NY (Onsite/Local Candidates Preferred)

Experience: 10+ Years

Visa: Open to All Visa Types

Job Summary:

We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures.

The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams.

Key Responsibilities:

• Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks.
• Lead the development and implementation of scalable AI applications and intelligent automation solutions.
• Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation.
• Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures.
• Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems.
• Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions.
• Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability.
• Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI.
• Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures.
• Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle.

Required Technical Skills:

• 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains.
• Strong hands-on experience designing and implementing Generative AI and LLM-based applications.
• Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems.
• Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
• Proficiency in Python and experience developing enterprise-grade applications and APIs.
• Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs.
• Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma.
• Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization.
• Experience with enterprise security, data privacy, access controls, and responsible AI practices.

Preferred Qualifications:

• Experience architecting and delivering enterprise-scale GenAI solutions from concept to production.
• Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines.
• Experience with fine-tuning, model customization, and prompt optimization.
• Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation.
• Excellent communication, stakeholder management, and technical leadership skills.