We are seeking a highly skilled AI Engineer to join our Data and AI Platform team.
Data and AI Engineer - Advanced Role
This is an exciting opportunity for a talented individual to design, build, and maintain scalable AI platform capabilities.
About the Role
* Develop and deploy high-impact AI solutions that drive business growth and improve operational efficiency.
* Collaborate with cross-functional teams to deliver cutting-edge AI applications that meet business requirements and architectural best practices.
* Prototype and evaluate emerging AI technologies to validate technical feasibility and deliver operational value through rapid experimentation.
Key Responsibilities
1. Design and Engineering: Design, build, and maintain scalable AI platform capabilities, including AI agents, copilots, and LLM-driven workflows, ensuring alignment with enterprise standards.
2. Integration and Deployment: Integrate AI solutions seamlessly into critical business workflows while ensuring compliance with architecture, security, and data governance frameworks.
3. Emerging Technologies: Prototype and evaluate emerging AI technologies to validate technical feasibility and deliver operational value through rapid experimentation.
4. Agile Collaboration: Collaborate effectively in agile, cross-functional teams to deliver AI solutions that meet business requirements and architectural best practices.
Requirements
* Bachelor's degree in Computer Science, Engineering, Artificial Intelligence or a related field.
* Demonstrated experience designing, developing, and delivering AI/ML systems, including cloud-native solutions.
* Practical expertise with ML/AI frameworks like PyTorch, TensorFlow, Hugging Face, and LangChain.
* Exposure to Generative AI and Retrieval-Augmented Generation (RAG) approaches, embedding models, vector stores, and agent orchestration.
* Working knowledge of cloud platforms, containerization, orchestration, infrastructure-as-code, and CI/CD pipelines.
* Familiarity with data and platform engineering tools such as Snowflake, Kafka, REST APIs, microservices, and knowledge graph integration.
* Experience contributing to Agile delivery teams, using Git and GitHub for version control and tools like Jira for project tracking.
About Us
We celebrate individual strengths and promote an inclusive culture, embracing diverse backgrounds and fostering a collaborative work environment.
We encourage candidates from all backgrounds to apply.