Type:

full-time

Job Description:

Job title: Sr. Data & AI Solutions Architect -

Azure & Generative AI Location:

Broadway, NY Rate:

$80/hour on W2

Type:

Contract - Hybrid (3 days onsite, 2 days remote)

Must:

8+ years of overall experience, 6+ years of architecture-focused experience, hands-on Azure experience, Generative

AI/LLM/RAG

experience, and multi-cloud architecture experience Key Responsibilities Data & AI Solution Architecture Architect end-to-end enterprise data and AI solutions spanning data ingestion, storage, transformation, modeling, serving, integration, and consumption. Design scalable architectures supporting traditional analytics, machine learning, generative AI, and emerging AI use cases. Develop data models, prototypes, solution architectures, and implementation approaches. Define reference architectures, reusable patterns, and technical standards for enterprise data and AI solutions. Design solutions across multi-cloud and multi-database environments. Evaluate architectural alternatives and clearly articulate technical trade-offs, risks, costs, and business value. Ensure solutions are scalable, maintainable, secure, and production-ready. Generative AI & Agentic Development Design and implement solutions leveraging generative AI, LLMs, RAG, model orchestration, and AI/ML frameworks. Use agentic development tooling and AI-assisted development workflows to accelerate solution delivery. Evaluate appropriate AI models, frameworks, platforms, and architectural patterns for specific business problems. Develop solutions using Microsoft AI technologies, including Azure OpenAI and Azure Machine Learning. Leverage Copilot-style development tooling to accelerate prototyping and implementation. Establish effective enterprise patterns for responsible and maintainable AI adoption. Azure & Multi-Cloud Architecture Architect modern data and AI solutions with a strong emphasis on the Microsoft Azure ecosystem. Work with Azure data services and platforms including Microsoft Fabric, Azure Synapse, Azure OpenAI, and Azure Machine Learning. Design solutions across multiple cloud providers, including Azure, AWS, and/or GCP. Evaluate cloud services and architecture patterns based on business, technical, security, performance, and cost requirements. Support cloud architecture decisions across data engineering, analytics, AI/ML, and application integration use cases. Required Qualifications 8+ years of overall experience in data engineering, data architecture, software engineering, or a closely related field. 6+ years of experience in architecture-focused roles. 6+ years of information architecture experience. 6+ years of data analysis experience. 4-6+ years of data modeling and prototyping experience. 4-6+ years of experience designing data environments. 4-6+ years of hands-on AI experience. Strong experience analyzing and synthesizing complex qualitative and quantitative information. Demonstrated ability to solve complex and ambiguous business and technology problems. Hands-on architecture and delivery experience across at least two major cloud platforms, such as Azure, AWS, and GCP. Strong Azure experience, including modern Azure data and AI services. Experience with Microsoft Fabric, Azure Synapse, Azure OpenAI, and/or Azure Machine Learning. Broad database experience spanning relational, NoSQL, analytical/data warehouse, vector, and/or graph technologies. Practical experience across multiple AI/ML and generative AI technologies, including LLMs, RAG, ML pipelines, and model orchestration. Hands-on experience with agentic development tooling and AI-assisted development workflows. Demonstrated ability to translate ambiguous business problems into clear, actionable technical requirements. Experience developing and presenting solution architectures to technical and non-technical stakeholders. Demonstrated experience taking solutions from concept and stakeholder approval through production implementation. Strong knowledge of data architecture, modeling, prototyping, and enterprise data environments. Strong understanding of cloud architecture, data engineering, analytics, AI/ML, and application integration. 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Sr. Data & AI Solutions Architect - Azure & Generative AI