AI ARCHITECT

Dice is the leading career destination for tech experts at every stage of their careers. Our client, IFLOWSOFT Solutions Inc., is seeking the following. Apply via Dice today!

Hi,

We are seeking an experienced AI Data Architect to design, build, and evolve data and AI architectures that power advanced analytics, semantic models, and AI-driven experiences. This role is hands‑on and sits at the intersection of data architecture, AI/ML engineering, and modern cloud data platforms. The ideal candidate has deep experience working with data, understands how AI systems consume and reason over data, and can translate complex datasets into AI‑ready, governed, and scalable architectures.

This role will partner closely with engineering, AI/ML teams, and stakeholders to enable text‑to‑SQL, conversational AI, and agentic workflows using modern semantic and cloud‑native approaches.

• Design and implement AI‑ready data architectures, including semantic models, data layers, and metadata frameworks that support analytics and AI use cases.
• Develop and maintain semantic models using RDF, semantic web principles, and modern data graph concepts.
• Architect and optimize text‑to‑SQL solutions, enabling natural language access to structured data (high priority).
• Support and collaborate on hands‑on ML engineering and MLOps efforts, ensuring data pipelines align with model training, inference, and deployment needs.
• Design and govern data models, schemas, and workflows across relational and analytical data platforms.
• Establish and enforce data governance, data quality, and metadata standards to support trusted AI and analytics.
• Work extensively with cloud-based data platforms on AWS, including data ingestion, transformation, and orchestration workflows.
• Architect and support data solutions using Snowflake and Databricks, with strong understanding of data pipelines and workflows (not necessarily BI stack ownership).
• Enable analytics and visualization use cases by delivering clean, well‑modeled datasets to BI tools such as Tableau and Power BI.
• Collaborate on or support conversational AI and chatbot solutions, including agentic architectures, MCPs, and orchestration patterns.
• Provide hands‑on expertise in SQL, data analysis, and performance optimization.
• Partner with stakeholders to translate business and AI requirements into scalable data and semantic solutions.

• 7+ years of experience working with data architecture, data engineering, or advanced analytics platforms.
• Strong hands‑on experience with SQL and relational data modeling.
• Experience with large scale data warehousing and DW modeling.
• Proven experience designing and working with semantic models, including RDF and semantic web concepts.
• Demonstrated experience with cloud data platforms on AWS.
• Hands‑on experience with Snowflake and/or Databricks, including data workflows and pipelines.
• Solid understanding of AI/ML concepts, with experience supporting ML engineering and MLOps initiatives.
• Experience with text‑to‑SQL, NLP‑driven analytics, or natural language interfaces to data.
• Familiarity with agentic AI concepts, MCPs, and conversational AI architectures.
• Strong background in data governance, data quality, and metadata management.
• Ability to clearly explain AI, NLP, and semantic concepts to both technical and non‑technical stakeholders.

• Experience delivering or supporting data graph databases.
• Exposure to NLP pipelines, embeddings, and AI‑assisted analytics.
• Experience supporting or integrating with BI platforms (Tableau, Power BI).
• Prior experience contributing to chatbot or conversational interfaces.
• Familiarity with Dev Ops or Data Ops practices in cloud environments.
• Experience with vector databases.

Iflowsoft is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.