AI-Data Solution Architect
Dice is the leading career destination for tech experts at every stage of their careers. Our client, The Avian Consulting LLC, is seeking the following. Apply via Dice today!Title: AI-Data Solution ArchitectLocation: Atlanta, GADuration: FulltimeJob DescriptionStrategic & Architectural LeadershipDefine and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.Provide architectural guidance on ethical, responsible, and compliant AI adoption.Solution Architecture & Platform DesignLead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.Design and govern cloud-based data platforms leveraging:Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)Snowflake (data warehouse, data sharing, performance optimization)Architect modern enterprise data architectures, including:Data Lake, Lakehouse, Data Mesh, and Data FabricOpen table/file formats such as Parquet, Iceberg, Delta LakeMedallion architectures (Bronze/Silver/Gold)Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).Define and enforce data quality, metadata, lineage, and access control standards.AI, ML, and Generative AI ArchitectureDesign and implement AI/ML and GenAI solution architectures from experimentation through production.Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.Lead architecture for Generative AI and Agentic AI, including:LLM integration with tools, APIs, and knowledge bases (RAG patterns)Autonomous and semi-autonomous agent workflowsFine-tuning, prompt engineering, and optimization strategiesEstablish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.Technical Leadership & CollaborationProvide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.Communicate complex technical concepts clearly to both technical and executive audiences.Required QualificationsBachelor’s Degree in Engineering or a related technical discipline.14+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.6+ years of experience designing and scaling enterprise data platforms on Google Cloud Platform, AWS, and Snowflake.Preferred QualificationsMaster’s degree or Ph.D. preferred.Demonstrated success leading large-scale, cross-functional data and AI initiatives.Cloud platforms: Google Cloud Platform and AWS (multi-cloud experience strongly preferred)Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architecturesProgramming & analytics: Python, SQL, PySparkAI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoostGenAI/LLM frameworks, vector databases, and graph databasesData engineering tools: Spark, Kafka, HadoopContainerization and orchestration: Docker, KubernetesCI/CD and DevOps practicesStrong understanding of data modeling, performance tuning, and cost optimizationStrong architectural thinking and problem-solving skillsExcellent communication and stakeholder management capabilitiesAbility to influence without authority and operate effectively in matrixed organizationsSelf-driven, organized, and able to manage multiple prioritiesPreferred CertificationsAWS Certified Solutions ArchitectGoogle Cloud Professional Cloud ArchitectSnowflake or Data Engineering certifications