Radar Hire is searching for a:

AI Data Architect (Remote)

 

Location: Remote

Employment Type: Full-Time

Experience Required: Minimum 5+ years in data architecture, with recent experience in AI/ML systems

 

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

 

Why Join

• Direct access to results-driven, growth-oriented entrepreneurs

• Clear expectations and goals with opportunity to make an immediate impact

• Work with autonomy and be a key player in scaling a business

 

What We Offer:

• Competitive compensation tailored to experience and technical depth

• Remote-first flexibility with global collaboration opportunities

• Work on cutting-edge AI infrastructure projects across industries

• Opportunities to lead architecture decisions in high-impact environments

• Collaborative, fast-paced culture that values innovation and execution