AI Architect with Data Engineering Expertise

Job Title: AI Architect with Data Engineering Expertise
Location: Remote
Job Type: Contract

Job Summary:

We are seeking a highly skilled and visionary AI Architect with a strong data engineering background to design, implement, and optimize AI/ML solutions at scale. The ideal candidate will have deep expertise in AI/ML architecture and a solid foundation in modern data technologies such as MongoDB, Snowflake, SQL/NoSQL databases, and data pipelines. This role requires close collaboration with data engineers, scientists, and business stakeholders to architect intelligent systems that drive business outcomes.

Key Responsibilities:

• Design and develop scalable AI/ML architectures integrated with modern data platforms (e.g., Snowflake, MongoDB).
• Collaborate with data engineers and data scientists to operationalize ML models in production environments.
• Lead the development of AI pipelines, model training, validation, deployment, and monitoring.
• Architect data workflows that ensure data quality, security, and high availability.
• Identify opportunities to apply AI/ML to business challenges and drive PoCs and pilot projects.
• Ensure architecture aligns with enterprise standards and compliance requirements.
• Mentor engineering teams and provide architectural guidance on AI and data solutions.
• Stay current with emerging technologies and trends in AI, machine learning, and data systems.

Required Skills & Qualifications:

• Proven experience as an AI/ML Architect or Senior Data Architect with exposure to AI projects.
• Strong knowledge of data platforms such as Snowflake, MongoDB, PostgreSQL, Redshift, etc.
• Experience with Python, SQL, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Solid understanding of data modeling, ETL/ELT processes, data lakes, and data warehouses.
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Airflow).
• Excellent communication and leadership skills.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Preferred Qualifications:

• Master's or Ph.D. in Computer Science, Data Science, AI, or a related field.
• Certifications in AI/ML or cloud architecture (e.g., AWS Certified Machine Learning, Snowflake SnowPro).
• Experience in designing real-time AI systems and streaming data solutions (e.g., Kafka, Flink).