AI Engineer – Python & Snowflake

Description

AI Engineer – Python & Snowflake

We are seeking a highly motivated AI Engineer with strong expertise in Python and Snowflake to design, build, and operationalize AI-driven solutions on top of enterprise data platforms.

The ideal candidate will bridge data engineering, analytics, and AI/ML technologies to develop scalable, production-grade AI applications and intelligent data products. This role is ideal for someone passionate about applied AI, LLM-based systems, and modern data ecosystems, who thrives in fast-paced and innovation-driven environments.

Key Responsibilities

• Design, build, and maintain AI-powered data platforms, pipelines, and data products that support advanced analytics and machine learning initiatives.
• Develop scalable backend systems and robust data workflows using Python and Snowflake.
• Ingest, cleanse, transform, and prepare large-scale structured and unstructured datasets for AI, Machine Learning, and Generative AI use cases.
• Create and optimize feature engineering frameworks, embeddings, vectorized datasets, and semantic data models to improve AI model performance.
• Deploy, integrate, monitor, and maintain AI/ML models in production environments, ensuring reliability and scalability.
• Collaborate closely with Data Scientists, Machine Learning Engineers, and Software Engineers to operationalize AI solutions using MLOps and LLMOps best practices.
• Build and maintain APIs, microservices, and backend services that expose AI capabilities to enterprise applications and end users.
• Optimize Snowflake architecture, performance, and cost efficiency for data engineering, analytics, and AI workloads.
• Develop and support data pipelines for Retrieval-Augmented Generation (RAG) architectures and other Generative AI frameworks.
• Ensure high standards of data quality, governance, security, scalability, and observability across the data ecosystem.
• Evaluate, prototype, and implement emerging AI technologies, including Large Language Models (LLMs), vector databases, AI agents, and intelligent automation frameworks.
• Contribute to architectural decisions and technical strategies that support the organization's AI roadmap.

Required Skills & Experience

• 3–7 years of experience in AI Engineering, Data Engineering, Machine Learning Engineering, or a related field.
• Strong hands-on programming expertise in Python, including experience building production-grade applications and data pipelines.
• Demonstrated experience designing and developing solutions within Snowflake.
• Advanced SQL skills and strong understanding of data modeling, database design, and data architecture principles.
• Experience building and maintaining scalable ETL/ELT pipelines in cloud-native environments.
• Solid understanding of machine learning concepts, data preparation methodologies, feature engineering, and model lifecycle management.
• Experience deploying, supporting, and monitoring machine learning models in production environments.
• Hands-on experience building APIs, microservices, and integrating enterprise systems.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Strong analytical, troubleshooting, and problem-solving skills with the ability to work independently.

Preferred Qualifications

• Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and AI agent frameworks.
• Familiarity with MLOps and LLMOps methodologies, tools, and deployment practices.
• Experience with workflow orchestration tools such as Apache Airflow, Prefect, or similar technologies.
• Knowledge of modern AI and Generative AI frameworks, including LangChain, Hugging Face, LlamaIndex, or equivalent platforms.
• Experience working in startup, high-growth, or rapidly evolving technology environments.
• Proven ability to quickly learn and adopt new technologies in the AI and data engineering landscape.
• Strong communication and collaboration skills, with experience working across cross-functional teams.

Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com

EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.