Yale University
Yale University

Data & AI Architect

• Posted 1 day ago • Updated 3 hours ago
Full Time
Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

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

Summary

Role: Data & AI Architect

Location: 2 Broadway, NY

Duration: 6 Months

Position Summary

Client is seeking an experienced Data & AI Architect to design, define, and deliver enterprise data and artificial-intelligence solutions across a large, multi-department organization. This is a hands-on architecture role that blends deep technical expertise with strong stakeholder engagement: the architect will partner directly with business and operational teams across the MTA to surface ambiguous, poorly defined problems, translate them into clear and actionable requirements, secure approval, and implement solutions using modern agentic development tooling.

The ideal candidate is equally comfortable in a whiteboard session with a non-technical department head and in the details of a multi-cloud data and AI platform. They bring recent, primarily Azure-based experience and hands-on fluency with Copilot-style AI development tooling, along with broad exposure to multiple cloud providers, database technologies, and AI/ML frameworks.

Key Responsibilities

  • Engage stakeholders across any MTA department to elicit, clarify, and shape nebulous or emerging data and AI use cases into well-scoped opportunities.
  • Translate business needs into clear, actionable requirements documents that both technical and non-technical audiences can understand and act on.
  • Present and explain proposed solutions, trade-offs, and value to stakeholders and governance bodies, and drive requirements through to formal approval.
  • Architect end-to-end data and AI solutions spanning ingestion, storage, transformation, modeling, serving, and consumption layers.
  • Design and implement solutions using agentic development tooling to accelerate delivery while maintaining quality, security, and maintainability.
  • Define reference architectures, patterns, and standards for data and AI across multi-cloud and multi-database environments.
  • Ensure solutions meet enterprise requirements for security, privacy, data governance, cost efficiency, and regulatory compliance.
  • Collaborate with engineering, data science, platform, and product teams to move approved solutions from design into production.
  • Mentor and provide technical guidance to engineers and analysts, and champion good data and AI practices organization wide.

Required Qualifications

    • 8+ years of overall experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role.
    • Multi-cloud experience - hands-on design and delivery across at least two major cloud providers (e.g., Azure, AWS, Google Cloud Platform).
    • Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies.
    • Multi-AI experience - practical work across a range of AI/ML and generative-AI frameworks, models, and platforms (e.g., LLMs, ML pipelines, RAG, model orchestration).
    • Strong requirements-gathering and stakeholder-facing skills: proven ability to extract clarity from ambiguity and write actionable specifications.
    • Excellent written and verbal communication; able to explain complex technical concepts to non-technical audiences and secure buy-in.
    • Hands-on experience delivering solutions with agentic development tooling / AI-assisted development workflows.
    • Demonstrated experience taking solutions from concept through approval to production implementation.

Preferred Qualifications:

    • Primary recent experience on the Microsoft Azure stack (e.g., Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML).
    • Hands-on development experience with Microsoft Copilot tooling (e.g., GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience will be considered.
    • Experience in large, complex, or public-sector / transit / infrastructure organizations.
    • Relevant cloud or data architecture certifications.
    • Familiarity with enterprise data governance, MLOps, and responsible-AI practices.
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: RTL939169
  • Position Id: ebbb9b1742ad48edb419aaa6c911ae55
  • Posted 1 day ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Hybrid Data & AI Architect

New York, New York

•

Today

Full-time

Data & AI Architect

Hybrid in New York, New York

•

4d ago

Easy Apply

Full-time, Third Party

85

Data & AI Architect

Hybrid in New York, New York

•

3d ago

Easy Apply

Contract, Third Party

80 - 85

Data & AI Architect

New York, New York

•

4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Search all similar jobs