Overview
On Site
Hybrid
Hourly
Contract - W2
Skills
Recruiting
SQL
Storage
System Integration
Software Design
Strategic Planning
Regulatory Compliance
Knowledge Transfer
Training
Operational Excellence
Continuous Improvement
Innovation
Data Architecture
Computer Science
Data Management
Management Information Systems
Mathematics
Analytics
Cloud Computing
Snow Flake Schema
Microsoft Azure
Databricks
LangChain
Data Governance
Data Modeling
Advanced Analytics
Management
Meta-data Management
Ontologies
Generative Artificial Intelligence (AI)
Use Cases
Artificial Intelligence
Machine Learning (ML)
Soft Skills
Communication
Stakeholder Management
Collaboration
Conflict Resolution
Problem Solving
Critical Thinking
Team Building
DICE
Internal Communications
IC
Integrated Circuit
Job Details
City : Austin
State : Texas
Neos is Seeking an AI & Data Architect for a contract role for with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED***
Position is Hybrid onsite 3 days a week onsite (days subject to hiring manager) at 1900 Aldrich St, Austin, TX 78723
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
DESCRIPTION OF SERVICES
We are seeking an experienced AI & Data Architect to design and implement enterprise-scale AI and data solutions using Azure, Databricks, Snowflake, and other AI services. This hybrid role focuses on data architecture, GenAI integration, and close collaboration with cross-functional teams.
Key Responsibilities
Design and Implementation
Architect and deliver scalable, secure data solutions on Azure (Fabric, Databricks, Snowflake AI Foundry, MLflow, Event Hub, SQL, Blob Storage, ADLS Gen2, Log Analytics, Purview, Functions, Key Vault).
Design GenAI architecture (RAG, LLMs, domain tuning) and build secure, scalable data frameworks with cross-system integration.
Support metadata structuring for AI use cases and document key processes.
Develop metadata structures, including ontologies and taxonomies, to support GenAI solution design.
Ensure data solutions are robust, extensible, and seamlessly integrated with existing systems.
Collaboration
Contribute to data architecture strategy, planning, and platform selection to align with business goals and compliance requirements.
Work with stakeholders to translate requirements into technical solutions.
Support AI/ML development activities and knowledge transfer.
Stay current with market trends, introduce new AI and data features, and assist in training team members on AI capabilities.
Operational Excellence
Conduct architecture reviews and enforce standards.
Ensure adherence to best practices in data governance and security.
Promote continuous improvement and innovation in data architecture and AI integration.
Provide operational support and perform ad-hoc tasks as assigned.
Experience & Education
Bachelor's degree in Computer Science, Data Management, Information Systems, Mathematics, or a related field (or equivalent experience).
10 years of IT experience, with 5 years in architect roles for Data & Analytics solutions.
3 years of hands-on experience with Azure public cloud.
2 years of hands-on experience with AI services.
Proven experience as a Data Architect in enterprise-level, data-centric projects.
Skills Required
Technical Skills
Strong knowledge of Azure data services, Databricks, Snowflake, MLFlow, Power Automate, Cognitive Services, Azure ML, and Purview.
Experience with GenAI platforms, including Azure OpenAI and Databricks Intelligence Platform.
Familiarity with LangChain and LangGraph for AI-powered data solutions.
Expertise in metadata management, data governance, and data modeling.
AI/ML & Advanced Analytics
Design and implement GenAI architectures (RAG, LLMs, domain tuning).
Develop and manage metadata structures, ontologies, and taxonomies for GenAI solutions.
Support AI use cases and document key processes.
Stay up to date with AI/ML advancements and integrate new features into data solutions.
Soft Skills
Excellent communication, stakeholder management, and collaboration skills.
Ability to work effectively with cross-functional teams.
Strong problem-solving and critical thinking abilities.
Commitment to continuous learning and team development.
#DICE
#LI-IC
State : Texas
Neos is Seeking an AI & Data Architect for a contract role for with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED***
Position is Hybrid onsite 3 days a week onsite (days subject to hiring manager) at 1900 Aldrich St, Austin, TX 78723
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
DESCRIPTION OF SERVICES
We are seeking an experienced AI & Data Architect to design and implement enterprise-scale AI and data solutions using Azure, Databricks, Snowflake, and other AI services. This hybrid role focuses on data architecture, GenAI integration, and close collaboration with cross-functional teams.
Key Responsibilities
Design and Implementation
Architect and deliver scalable, secure data solutions on Azure (Fabric, Databricks, Snowflake AI Foundry, MLflow, Event Hub, SQL, Blob Storage, ADLS Gen2, Log Analytics, Purview, Functions, Key Vault).
Design GenAI architecture (RAG, LLMs, domain tuning) and build secure, scalable data frameworks with cross-system integration.
Support metadata structuring for AI use cases and document key processes.
Develop metadata structures, including ontologies and taxonomies, to support GenAI solution design.
Ensure data solutions are robust, extensible, and seamlessly integrated with existing systems.
Collaboration
Contribute to data architecture strategy, planning, and platform selection to align with business goals and compliance requirements.
Work with stakeholders to translate requirements into technical solutions.
Support AI/ML development activities and knowledge transfer.
Stay current with market trends, introduce new AI and data features, and assist in training team members on AI capabilities.
Operational Excellence
Conduct architecture reviews and enforce standards.
Ensure adherence to best practices in data governance and security.
Promote continuous improvement and innovation in data architecture and AI integration.
Provide operational support and perform ad-hoc tasks as assigned.
Experience & Education
Bachelor's degree in Computer Science, Data Management, Information Systems, Mathematics, or a related field (or equivalent experience).
10 years of IT experience, with 5 years in architect roles for Data & Analytics solutions.
3 years of hands-on experience with Azure public cloud.
2 years of hands-on experience with AI services.
Proven experience as a Data Architect in enterprise-level, data-centric projects.
Skills Required
Technical Skills
Strong knowledge of Azure data services, Databricks, Snowflake, MLFlow, Power Automate, Cognitive Services, Azure ML, and Purview.
Experience with GenAI platforms, including Azure OpenAI and Databricks Intelligence Platform.
Familiarity with LangChain and LangGraph for AI-powered data solutions.
Expertise in metadata management, data governance, and data modeling.
AI/ML & Advanced Analytics
Design and implement GenAI architectures (RAG, LLMs, domain tuning).
Develop and manage metadata structures, ontologies, and taxonomies for GenAI solutions.
Support AI use cases and document key processes.
Stay up to date with AI/ML advancements and integrate new features into data solutions.
Soft Skills
Excellent communication, stakeholder management, and collaboration skills.
Ability to work effectively with cross-functional teams.
Strong problem-solving and critical thinking abilities.
Commitment to continuous learning and team development.
#DICE
#LI-IC
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.