AI Engineer Co-Op: Build & Govern AI Systems

Audaxgroup; Boston (MA); On-site; USD 41,000 - 47,000; Part time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Paid time off

401(k)

Job summary

Audax Group is seeking a dynamic AI Engineer CO-OP in Boston, MA to support AI initiatives, design and scale AI ecosystems, and ensure data quality. The role collaborates with the AI Solutions Architect and data teams on pipelines and governance.

You will code in Python/SQL within VS Code, work with Azure cloud services, OpenAI tools, and Snowflake, and contribute to governance, testing, and deployment. In-office 3–4 days/week with a January–June 2027 schedule.

Qualifications

• Pursuing a Bachelor's or Master’s degree in Data Science, Data Engineering, Data Analytics, Computational Engineering, Computer Science, or related field.
• Experience with at least two: traditional ML, NLP, transfer learning/fine-tuning, predictive analytics, AI governance, and data engineering.

Responsibilities

• Assist with designing, implementing, maintaining, and scaling Audax’s AI ecosystem.
• Coordinate with internal IT to scale AI infrastructure in the cloud enterprise.
• Contribute to proof-of-concept development for functional area use cases.
• Assist with AI governance policies, including security, documentation, and privacy.
• Provide data validation and quality assessments with data engineers.

Skills

Python

SQL

Git

Education

Bachelor’s or Master’s degree in Data Science/Computer Science or related field

Tools

Azure

OpenAI SDKs

Snowflake

Job description

Audax Group is seeking a dynamic AI Engineer CO-OP in Boston, MA to support AI initiatives, design and scale AI ecosystems, and ensure data quality. The role collaborates with the AI Solutions Architect and data teams on pipelines and governance.

You will code in Python/SQL within VS Code, work with Azure cloud services, OpenAI tools, and Snowflake, and contribute to governance, testing, and deployment. In-office 3–4 days/week with a January–June 2027 schedule.