Databricks Agentic AI Architect
First seen by Alion on Oct 27, 2026.
Description :
As a Databricks Agentic AI Architect at KPI Partners, you will play a pivotal role in designing and implementing advanced AI and machine learning solutions on the Databricks platform.
You will work closely with cross-functional teams to understand business requirements and translate them into scalable data architectures and robust AI applications.
Your responsibilities will include defining data pipelines, optimizing performance, and ensuring data integrity while leveraging Databricks' capabilities to enhance analytics and AI strategies.
The ideal candidate will have a strong background in data engineering, machine learning, and cloud technologies.
Responsibilities :
- Design and architect scalable AI solutions utilizing Databricks.
- Collaborate with data scientists and engineering teams to develop end-to-end machine learning workflows.
- Optimize data ingestion and transformation processes to enhance data quality and accessibility.
- Implement best practices for version control, monitoring, and performance tuning of AI models.
- Provide technical guidance and support to team members on Databricks and related technologies.
- Stay updated with industry trends and advancements in AI and data engineering to continuously improve solutions.
Skills and Tools Required :
- Proficiency in Databricks and Apache Spark.
- Strong background in RAG, Agentic Ops, machine learning algorithms and frameworks.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data engineering practices, including ETL processes and data warehousing.
- Familiarity with programming languages such as Python, Scala, or SQL.
- Understanding of data visualization tools like Tableau or Power BI.
- Excellent problem-solving skills and ability to work in a collaborative team environment.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Skills
Databricks, Agentic AI, AI Architecture, RAG, Apache Spark, AWS, ETL, Python, Data Visualization Tools, SQL