Hybrid Data & AI Architect

New York, NY, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Stakeholder Engagement
  • Use Cases
  • Storage
  • Modeling
  • Information Security Governance
  • Scalability
  • Database
  • Collaboration
  • Data Science
  • Data Engineering
  • Software Engineering
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • NoSQL
  • Analytical Skill
  • Warehouse
  • Graph Databases
  • Generative Artificial Intelligence (AI)
  • Orchestration
  • Requirements Elicitation
  • Communication
  • Workflow
  • Microsoft Azure
  • Machine Learning (ML)
  • Microsoft
  • GitHub
  • Data Governance
  • Machine Learning Operations (ML Ops)
  • Public Sector
  • Cloud Computing
  • Data Architecture
  • Artificial Intelligence

Summary

We are seeking an experienced Data & AI Architect to design and deliver enterprise-scale data and artificial intelligence solutions across multiple departments. This hands-on role combines advanced architecture expertise, stakeholder engagement, and modern AI-assisted development.

This position requires an in person interview.

Contract Length: 6 months with possible extension
Location: New York, NY
Work Setup: Hybrid 3 days onsite, 2 days remote
Work Week: 37.5 hours
Data & AI Architect Responsibilities
  • Partner with business and operational stakeholders to identify, clarify, and scope complex or emerging data and AI use cases.
  • Translate ambiguous business needs into clear, actionable technical requirements and secure stakeholder approval.
  • Architect end-to-end data and AI solutions across ingestion, storage, transformation, modeling, serving, and consumption layers.
  • Design solutions using agentic development and AI-assisted tooling, while maintaining security, governance, quality, and scalability.
  • Establish architecture patterns and standards across multi-cloud and multi-database environments.
  • Collaborate with engineering, data science, platform, and product teams to move solutions from concept through production.
Data & AI Architect Qualifications

Critical Requirements
  • 8+ years in data engineering, data architecture, software engineering, or a related field, including 6+ years in architecture-focused roles.
  • Hands-on experience across at least two major cloud platforms, such as Azure, AWS, or Google Cloud Platform.
  • Strong knowledge of relational, NoSQL, analytical/warehouse, vector, or graph databases.
  • Practical AI/ML and GenAI experience, including LLMs, RAG, ML pipelines, and model orchestration.
  • Proven stakeholder-facing requirements gathering and communication skills.
  • Experience with agentic development tooling / AI-assisted development workflows.
Data & AI Architect Preferred Qualifications
  • Recent Microsoft Azure experience, including Azure Data Services, Synapse/Fabric, Azure OpenAI, or Azure ML.
  • Microsoft Copilot experience, including GitHub Copilot, Copilot Studio, or M365 Copilot.
  • Experience with enterprise data governance, MLOps, responsible AI, or public-sector/transit/infrastructure environments.
  • Relevant cloud or data architecture certifications.

This Data & AI Architect opportunity is ideal for a hands-on technology leader who can turn complex business challenges into secure, scalable, production-ready AI and data solutions.

We look forward to reviewing your application!
#tech
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117531
  • Position Id: 26-01289
  • Posted 11 hours ago
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