AI Architect

Hi All,

We are currently looking for an experienced AI Architect for an onsite opportunity in Hoboken, NJ.

Position: AI Architect
Location: Hoboken, NJ Onsite
Employment Type: W2

• Strong expertise in AI & Machine Learning, including deep learning frameworks such as PyTorch and TensorFlow.
• Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines.
• Experience with AWS SageMaker, Google Cloud AI, and Microsoft Azure AI services.
• Strong knowledge of Docker and Kubernetes.
• Experience with data pipelines, ETL processes, vector databases, and data governance.
• Strong programming skills in Python and Java.
• Experience with Python-based data engineering and ML libraries.
• Strong understanding of AI architecture, distributed systems, and scalable solutions.

• Design and implement multi-agent AI workflows using frameworks such as LangChain and LangGraph.
• Develop scalable AI architecture and apply appropriate architectural design patterns.
• Design efficient data models to support AI/ML applications.
• Monitor and optimize model performance, inference costs, and application latency.
• Implement security and compliance measures to protect sensitive data and prevent data leakage.
• Develop strategies to mitigate LLM hallucinations and improve model reliability.
• Align AI technology decisions with business objectives, technical requirements, and financial constraints.
• Guide engineering teams on architectural decisions, technical trade-offs, and project execution.
• Collaborate with cross-functional teams to define AI solutions and drive successful implementation.
• Evaluate emerging AI technologies and recommend solutions that provide business value.

• Extensive experience designing and implementing AI/ML architectures.
• Strong hands-on experience with LLMs, RAG, and Generative AI.
• Experience with LangChain/LangGraph or similar AI orchestration frameworks.
• Strong cloud experience across AWS, Azure, or Google Cloud.
• Experience with Docker, Kubernetes, vector databases, and data engineering.
• Excellent architecture, problem-solving, communication, and leadership skills.