Sr. Azure Data Architect || Locals Preferred

Sr. Azure Data Architect (AgenticAI & LLM)

Weehawken, NJ (Locals Preferred)

Contract W2- H1b Transfers are accepted .

• Introduction:
  We are seeking a highly skilled Azure Certified AI Practitioner specializing in Data Architecture, with hands-on experience in AgenticAI frameworks and Large Language Models (LLMs). In this role, you will design, develop, and deploy advanced AI-driven data solutions on Microsoft Azure, empowering our organization with cutting-edge AI capabilities to solve complex business challenges.

Key Responsibilities:

• Design and implement scalable, secure data architectures on Microsoft Azure using services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Blob Storage.
• Develop, fine-tune, and deploy Large Language Models (LLMs) and other AI/ML models leveraging Azure Machine Learning and third-party frameworks.
• Integrate AgenticAI methodologies to build autonomous, agent-based AI systems that can adapt and optimize over time.
• Collaborate with cross-functional teams to gather requirements, develop data pipelines, and translate business needs into scalable AI solutions.
• Implement AI solutions that include natural language processing (NLP) capabilities, leveraging models like GPT, BERT, or custom LLMs.
• Ensure data security, privacy, and compliance standards are adhered to across all AI and data workflows.
• Optimize data processing for performance, scalability, and cost-efficiency.
• Conduct data analysis, model training, validation, and deployment cycles.
• Document architectural designs, operational procedures, and best practices for AI solutions.
• Stay abreast of advances in LLM paradigms, AgenticAI frameworks, and Azure AI services, integrating new technologies into existing solutions.

Qualifications & Skills:

• Azure Data Engineer, Azure Data Scientist, or Azure AI Fundamentals certifications.
• Proven experience with designing and deploying data architectures on Azure.
• Deep understanding of Large Language Models (LLMs) and experience with frameworks such as OpenAI, Azure OpenAI Service, or custom LLM deployment.
• Experience with AgenticAI concepts building autonomous agents, multi-agent systems, or adaptive AI architectures.
• Proficiency in programming languages such as Python, especially in data science and AI/ML contexts.
• Familiarity with AI deployment, fine-tuning, and operationalization.
• Knowledge of NLP techniques and tools.
• Strong understanding of data security, governance, and compliance standards.
• Excellent problem-solving skills and the ability to work on complex AI system integrations.
• Effective communication skills for technical and non-technical audiences.

Preferred Qualifications:

• Experience with big data tools and analytics (Azure Synapse, Databricks).
• Familiarity with DevOps practices for AI/ML workflows.
• Knowledge of enterprise AI applications, chatbots, and conversational AI solutions.

Publications or practical experience with AgenticAI or multi-agent AI systems