Senior Azure & Generative AI Solutions Architect

Seneca Resources Company, LLC; New York (NY); Hybrid; USD 107,000 - 122,000; Full time

Job summary

Seneca Resources Company, LLC in New York, NY is seeking a Senior Data & AI Solutions Architect to design and deliver enterprise-scale data and AI solutions across a large government client environment. The role blends hands-on cloud architecture with heavy stakeholder engagement, focusing on Azure OpenAI, multi-cloud patterns, and scalable data platforms.

You will partner with business leaders to refine requirements, evaluate models and platforms, and guide initiatives from concept through

Qualifications

• 8+ years of experience in data engineering, data architecture, or related field.
• 6+ years in architecture-focused roles.
• Experience across cloud platforms (Azure, AWS, GCP).
• Strong data modeling and prototyping skills.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Architect end-to-end enterprise data and AI solutions across cloud environments.
• Lead design of Azure-based data platforms, LLMs, and generative AI use cases.
• Collaborate with business leaders to translate problems into technical requirements.
• Define reference architectures, patterns, and standards.
• Ensure scalable, secure, production-ready solutions.
• Manage governance, security, and responsible AI practices.

Skills

Data architecture

AI architecture design

Azure cloud

Multi-cloud architecture

Stakeholder engagement

Governance & security

Tools

Azure OpenAI

Azure Machine Learning

Microsoft Fabric

Azure Synapse

AWS

GCP

Job description

Seneca Resources Company, LLC in New York, NY is seeking a Senior Data & AI Solutions Architect to design and deliver enterprise-scale data and AI solutions across a large government client environment. The role blends hands-on cloud architecture with heavy stakeholder engagement, focusing on Azure OpenAI, multi-cloud patterns, and scalable data platforms.

You will partner with business leaders to refine requirements, evaluate models and platforms, and guide initiatives from concept through