If you are interested and want to apply please go through our website to proceed: http://careers.usjobfinders.com/p/46acffff0383-ai-data-architect-remote
About the Role:
Radar Hire is seeking a highly experienced and forward-thinking AI Data Architect to design and manage the foundational data infrastructure that powers AI, machine learning, and analytics initiatives for our clients. This is a strategic, hands-on role responsible for creating scalable data pipelines, optimizing data structures, and enabling real-time, intelligent decision-making across enterprise environments.
You’ll work closely with AI engineers, data scientists, software developers, and business stakeholders to architect end-to-end data solutions—ensuring data is clean, accessible, secure, and actionable for advanced AI use cases.
Key Responsibilities
- Design and implement scalable, secure, and high-performance data architectures for AI/ML models and systems
- Build and optimize ETL/ELT pipelines that support real-time and batch data processing
- Define and enforce best practices for data modeling, schema design, and metadata management
- Collaborate with AI engineers and data scientists to ensure data pipelines support model training, inference, and retraining workflows
- Architect and manage data lakes, warehouses, and cloud-based storage solutions (e.g., AWS, GCP, Azure)
- Ensure data governance, compliance, and security policies are met (including HIPAA, GDPR, or SOC2, if applicable)
- Monitor data quality and establish automated validation and anomaly detection processes
- Create technical documentation, architecture diagrams, and data flow mappings for internal and external teams
- Evaluate and integrate new tools, frameworks, and platforms to enhance data infrastructure capabilities
Required Skills & Qualifications
- 5+ years in data architecture, data engineering, or a related field
- Strong understanding of AI/ML systems and how they interface with structured and unstructured data
- Expertise with cloud platforms such as AWS (e.g., S3, Redshift, Glue), GCP (BigQuery), or Azure
- Proficient in Python, SQL, and modern data frameworks (e.g., Apache Spark, Kafka, Airflow)
- Deep experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB)
- Experience architecting solutions that feed into or support AI models (e.g., LLMs, recommendation systems, predictive analytics)
- Familiarity with MLOps, model lifecycle, and data versioning tools
- Strong documentation, diagramming, and cross-functional communication skills
- Security-first mindset with experience implementing data privacy and governance protocols
Nice to Have
- Experience supporting LLM-based AI pipelines or Retrieval-Augmented Generation (RAG) architectures
- Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings
- Knowledge of Kubernetes, Docker, or cloud-native orchestration systems
- Certifications in cloud architecture, data engineering, or AI/ML (AWS Certified Data Analytics, GCP Data Engineer, etc.)
Working Hours
- Full-Time, Monday–Friday 8 hours per day
- Aligned with U.S. business hours
Job Type: Full-time
Pay: E£83,204.00 - E£154,523.00 per month
Application Question(s):