Data & AI Architect

CX STAFFING, LLC

New York, NY, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Data Architecture Information Engineering Data Governance Programming Tools Graph Database NoSQL Azure Machine Learning Software Engineering

+8 more

Enterprise Data Management Google Cloud Azure Data Factory GitHub Copilot Office365 Large Language Models Multi-Cloud Machine Learning Operations

Job description

we are seeking a senior Data & AI Architect to design and deliver enterprise data, cloud, AI, and GenAI solutions across a large, complex organization. The role requires strong Azure architecture expertise, multi-cloud experience, hands-on AI/ML and GenAI development, and excellent stakeholder-management skills., * Gather requirements from business and technical stakeholders and convert ambiguous needs into actionable solutions.

Architect end-to-end data and AI solutions covering ingestion, storage, transformation, modeling, and consumption.
Design solutions using Azure, AWS, or Google Cloud Platform and modern data/AI technologies.
Implement GenAI, LLM, RAG, ML pipelines, and agentic/AI-assisted development solutions.
Develop reference architectures, standards, and governance practices for enterprise data and AI.
Ensure solutions meet security, privacy, compliance, cost, and data-governance requirements.
Present architecture and technical recommendations to leadership and governance teams.
Collaborate with engineering, data science, and product teams to move solutions from concept through production.
Mentor engineers and analysts on data and AI best practices.

Requirements

8+ years in data engineering, data architecture, software engineering, or related fields.
6+ years in an architecture-focused role.
Hands-on multi-cloud experience across at least two major cloud platforms.
Strong experience with relational, NoSQL, analytical/warehouse, and vector/graph databases.
Practical experience with AI/ML, GenAI, LLMs, RAG, and model orchestration.
Hands-on experience with AI-assisted/agentic development tools.
Strong requirements gathering, documentation, presentation, and stakeholder-management skills.
Proven ability to take solutions from concept * approval * production.

Preferred

Strong recent Azure experience, including Azure Data Services, Synapse/Fabric, Azure OpenAI, or Azure ML.
Experience with GitHub Copilot, Copilot Studio, or Microsoft 365 Copilot.
Public-sector, transit, infrastructure, or large-enterprise experience.
Cloud/data architecture certifications.
Knowledge of data governance, MLOps, and responsible AI.