Neos Consulting Group · 13 hours ago
AI & Data Architect
Neos Consulting Group is seeking an experienced AI & Data Architect for a contract role with their client. The role focuses on designing and implementing enterprise-scale AI and data solutions, requiring collaboration with cross-functional teams and a strong emphasis on data architecture and GenAI integration.
Information ServicesInformation Technology
Responsibilities
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
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
Qualification
Required
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 LangChain and LangGraph for AI-powered data solutions
Expertise in metadata management, data governance, and data modeling
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