Senior AI and Data Architect
Join an architecture team responsible for defining, planning, and implementing enterprise data and artificial intelligence architectures. The role connects business strategy with technology solutions and works across engineering, security, and business teams.
Responsibilities
- Define, plan, and implement data and AI architecture
- Establish architecture standards, principles, and governance
- Coordinate with Data Engineering, Data Science, DevOps, information security, and business process teams
- Bridge business strategy and technology solutions
Requirements
- 5–7 years of experience developing or leading information systems or data projects
- At least two years of hands-on experience leading AI or machine learning projects
- Proficiency in at least one of SQL, NoSQL, or vector databases
- Experience with at least one of Spark, Databricks, Snowflake, or Kafka
- At least two years of Python experience
- Strong understanding of machine learning frameworks such as PyTorch or TensorFlow
- Experience with LLM tools such as LangChain or LlamaIndex
- At least one year of experience with CI/CD, MLOps, and DataOps
Nice to have
- At least two years of experience with AWS or Azure data and AI services, such as SageMaker or Azure OpenAI
- Experience working in large enterprise organizations and hybrid environments
Benefits
- Work at the forefront of technology
- Creative and challenging work
- Professional development and broad organizational impact