Principal Applied AI Solutions Architect
New
P
phDataData and AI Consultancy
Employees across the United States, Latin America, and India, partnering with colleagues across time zonesFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist
- Required Skills
- PythonSQLMachine LearningSnowflakeSparkDatabricksMLOps
Requirements
- 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist.
- Strong proficiency in a modern programming language such as Python.
- Strong working knowledge of SQL and experience optimizing complex, distributed queries.
- Hands-on experience with big data and analytics platforms like Spark, Snowflake, Databricks, Redshift, or Amazon EMR.
- Familiarity with data source systems such as Kafka, RDBMS, data warehouses, and SAP.
- Systems-level knowledge of network and cloud architecture, Linux, and storage/compute platforms.
- End-to-end software development lifecycle experience including model deployment and monitoring.
- Bachelor’s degree in a relevant technical field or equivalent practical experience.
Responsibilities
- Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts.
- Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures.
- Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews.
- Ensure the quality, reliability, and observability of AI/ML solutions through robust testing, monitoring, and governance.
- Contribute to reusable assets like reference architectures and playbooks while mentoring team members.
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