Technical Architect (AI/Data)

TL;DR

Technical Architect (AI/Data): Designing and scaling data platforms and service-based systems for Fortune 500 companies with an accent on scalable, event-driven architectures, and ML-driven workflows. Focus on architecting data ingestion pipelines, integrating machine learning models, and enhancing platform intelligence.

Location: Hybrid with three days per week in our Toronto, Ontario office.

Company

hirify.global is a growing data product company helping Fortune 500 clients develop cutting-edge digital solutions that transform industries and create measurable business impact.

What you will do

• Design and influence scalable, event-driven service-based systems (front-end and back-end).
• Collaborate with Product to understand requirements, provide estimates, and identify dependencies/risks.
• Create lightweight proofs of concept for graph-based data models, vector embeddings, or ML-driven workflows.
• Lead architectural efforts for data ingestion pipelines, ensuring seamless integration with internal systems and third-party APIs.
• Design and optimize solutions leveraging Graph Databases (e.g., Neo4j, Amazon Neptune) for complex relationship modeling.
• Partner with Data Engineering and AI teams to architect systems that support machine learning model integration and inference workloads.

Requirements

• 8+ years of experience developing software across front-end and back-end systems, with a history of building scalable technology platforms.
• 3+ years of software architecture and system design experience.
• Expert-level knowledge with Python, React, JavaScript, Docker, Git, REST APIs, Postgres, and SQL.
• Strong background with AWS services such as S3, CloudFront, EC2, RDS, Batch, Lambda, and IAM, and event-driven architecture.
• Hands-on experience with Graph Databases (e.g., Neo4j, Amazon Neptune) including data modeling and query optimization.
• Experience designing and maintaining data ingestion pipelines, streaming or batch ETL, and structured/unstructured data processing.
• Exposure to AI/ML workflows, including integrating ML models, embedding generation, or inference orchestration.

Culture & Benefits

• Hybrid model with three days per week in our Toronto office.
• Downtown Toronto office location.
• Comprehensive benefits including 100% coverage of health, dental, and vision insurance premiums for you and your dependents, effective from day one.
• Access to extensive learning and development resources.
• Commitment to a safe, diverse, and inclusive environment.