Senior AI Engineer / AI Architect

The Senior AI Engineer / AI Architect is a hybrid role combining hands-on AI engineering with end-to-end AI architecture design, responsible for designing, building, and industrializing scalable AI solutions, while also defining architectural standards, cloud strategies, and governance models.

Requirements

• Design, develop, train, fine-tune, and deploy Machine Learning and Generative AI models.
• Build and operate production-ready AI systems (batch, real-time, APIs).
• Implement robust MLOps pipelines (CI/CD, model versioning, monitoring, retraining).
• Optimize performance, scalability, reliability, and cost of AI workloads.
• Integrate AI solutions into enterprise applications and data platforms.
• Design end-to-end AI architectures: data ingestion → feature engineering → model training → serving → monitoring.
• Define reference architectures, patterns, and best practices for AI and MLOps.
• Select and evaluate technologies, frameworks, and cloud-native services.
• Design architectures compliant with security, governance, and regulatory requirements.
• Support pre-sales activities with solution design, estimates, and technical proposals.
• Design and govern AI solutions on Google Cloud Platform (GCP) and Microsoft Azure.
• Act as technical lead and mentor for AI Engineers and Data Scientists.
• Collaborate with Cloud Data Architects, Data Engineers, Security, and Business stakeholders.
• Contribute to internal AI communities through research, technology scouting, and innovation initiatives.

Benefits

• Paid time off
• 401k matching
• Retirement plan
• Visa sponsorship
• Four day work week
• Generous parental leave
• Tuition reimbursement
• Relocation assistance