Position Details
Ai Data Engineer W Apply
Role: AI & Data Engineer
Location: Remote US, light travel may be required
Employment Type: Contract-to-Hire (6 Months)
Top Skills: RAG, Snowflake, SQL/Oracle, JSON/API's, Python/Java, AWS S3, CI/CD (Git/GitHub)
Preferred Skills: Openpages, enterprise security and governance understanding.
We are seeking an experienced AI and Data Engineer to design and deploy AI-driven solutions and enterprise data integrations. This role combines applied machine learning, AI agent development, and hands-on data engineering within a governed enterprise environment.
The successful candidate is a hands-on engineer who can independently deliver secure, scalable AI and data solutions-building production-ready models and agents, engineering robust data pipelines, and ensuring all solutions meet enterprise security, architecture, compliance, and cross-functional review standards.
Key Responsibilities
Develop and deploy classification models and retrieval-augmented generation (RAG) chat agents.
Design prompts, retrieval strategies, tool orchestration, and evaluation frameworks.
Implement guardrails aligned with enterprise AI governance and security requirements.
Monitor and report model performance (accuracy, latency, cost, reliability).
Build and maintain data ingestion and transformation pipelines.
Extract and transform semi-structured data (JSON) from OpenPages via API into Snowflake-compatible formats.
Load data into Snowflake using CLI utilities or AWS S3 staging.
Integrate enterprise systems including Teradata, DB2, Oracle, CRM platforms, ticketing systems, and internal/external APIs.
Support CI/CD processes and deployment standards across environments.
Produce architecture diagrams, data flow documentation, and technical artifacts required for review processes.
Participate in security, architecture, and open-source approval workflows.
Contribute to monitoring, deployment procedures, and operational documentation.
Collaborate through code reviews, pull requests, and Agile ceremonies (JIRA/Confluence).
Required Qualifications
Experience building and operationalizing machine learning models and AI agents in production environments.
Strong Snowflake and enterprise data engineering experience.
Proficiency in SQL and Python and Java.
Experience working with APIs and semi-structured data (JSON).
Familiarity with Teradata, DB2, Oracle, and OpenPages preferred.
Experience operating within regulated or governance-driven enterprise environments.
Strong problem-solving and communication skills.
Education and Experience:
Bachelor's degree in computer science or similar field
8+ years of experience as a Java or Python Developer in an enterprise level
