AI & Data Architect

AI & Data Architect – Contract (Hybrid)

Neos is seeking an AI & Data Architect for a contract role with our client in Austin, TX. Hybrid onsite 3 days a week at 1900 Aldrich St, Austin, TX 78723. Only candidates currently residing in the Austin area will be considered.

• Design and implement 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.

• 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.

• 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.

• 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.

• 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 Lang Chain and Lang Graph for AI-powered data solutions.
• Expertise in metadata management, data governance, and data modeling.

• 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.

• 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.